Most Cited IEEE Intelligent Systems Articles Using Google Citations (H- Index)

Size: px
Start display at page:

Download "Most Cited IEEE Intelligent Systems Articles Using Google Citations (H- Index)"

Transcription

1 Most Cited IEEE Intelligent Systems Articles Using Google Citations (H- Index) Web Extra: Supplementary PDF: The Most Cited Intelligent Systems Articles, IEEE Intelligent Systems, vol. 23, no. 4, pp Daniel E. O Leary, University of Southern California; oleary@usc.edu Author Ranking Google citations McIlraith et al Hendler and McGuinness Chandrasekaran Noy et al Fensel et al Oreizy et al Yang and Honavar Guarino et al Labrou et al Hendler Staab et al Abecker et al Hearst van der Aalst Lopez et al Sabin and Weigel Mladenic McGuinness et al Cook and Holder O Leary 1998b Fischer and Ostwald Gomez-Perez and Corcho Scheiber et al Weiss et al Zhuge Heflin and Hendler Dash et al Gratch et al Rickel et al

2 McIlraith et al Maedche et al O Leary 1998a Navigli et al Alani et al Chan et al Franke et al Arisha et al Shadbolt et al Liu et al McGuinness and Wright Steels Atkeson et al Fleischanderl et al Goel Swartout and Tate Coen Dumais Kopena and Regli Staab et al Blaschke and Valencia Larsson and Hayes-Roth Masuoka et al Altman et al Shadbolt Martin and Eklund Noy and Mussen Shen References (for most cited using ISI and Google) 1. S.A. McIlraith, T.C. Son, and H.L. Zeng, Semantic Web Services, IEEE Intelligent Systems & Their Applications, vol. 16, no. 2, 2001, pp J. Hendler and D.L. McGuinness, The DARPA Agent Markup Language, IEEE Intelligent Systems & Their Applications, vol. 15, no. 6, 2000, pp B. Chandrasekaran, B. Josephson Jr., and V.R. Benjamins, What Are Ontologies, and Why Do We Need Them? IEEE Intelligent Systems & Their Applications, vol. 14, no. 1, 1999, pp N.F. Noy et al., Creating Semantic Web Contents with Protege-2000, IEEE Intelligent Systems & Their Applications, vol. 16, no. 2, 2001, pp

3 5. D. Fensel et al., OIL: An Ontology Infrastructure for the Semantic Web, IEEE Intelligent Systems & Their Applications, vol. 16, no. 2, 2001, pp P. Oreizy, An Architecture-Based Approach to Self-Adaptive Software, IEEE Intelligent Systems & Their Applications, vol. 14, no. 3, 1999, J.H. Yang and V. Honavar, Feature Subset Selection Using a Genetic Algorithm, IEEE Intelligent Systems & Their Applications, vol. 13, no. 2, 1998, pp N. Guarino, C. Masolo, and G. Vetere, OntoSeek: Content-Based Access to the Web, IEEE Intelligent Systems & Their Applications, vol. 14, no. 3, 1999, pp Y. Labrou, T. Finin, and Y. Peng, Agent Communication Languages: The Current Landscape, IEEE Intelligent Systems & Their Applications, vol. 14, no. 2, 1999, pp J. Hendler, Agents and the Semantic Web, IEEE Intelligent Systems & Their Applications, vol. 16, no. 2, S. Staab et al., Knowledge Processes and Ontologies, IEEE Intelligent Systems & Their Applications, vol. 16, no. 1, 2001, pp A. Abecker et al., Toward a Technology for Organizational Memories, IEEE Intelligent Systems & Their Applications, vol. 13, no. 3, 1998, pp M.A. Hearst, Support Vector Machines, IEEE Intelligent Systems & Their Applications, vol. 13, no. 4, 1998, pp W. van der Aalst, Don t Go with the Flow: Web-Services Composition Standards Exposed, IEEE Intelligent Systems, vol. 18, no. 1, 2003, pp M.F. Lopez et al., Building a Chemical Ontology Using Methontology and the Ontology Design Environment, IEEE Intelligent Systems & Their Applications, vol. 14, no. 1, 1999, pp D. Sabin and R. Weigel, Product Configuration Frameworks - A Survey, IEEE Intelligent Systems & Their Applications, vol. 13, no. 4, 1998, pp D. Mladenic, Text-Learning and Related Intelligent Agents: A Survey, IEEE Intelligent Systems & Their Applications, vol. 14, no. 4, 1999, pp D. McGuinness et al., DAML+OIL: An ontology language for the semantic Web, IEEE Intelligent Systems, vol. 17, no. 5, 2002, pp D.J. Cook and L.B. Holder, Graph-Based Data Mining, IEEE Intelligent Systems & Their Applications, vol. 15, no. 2, D.E. O Leary, Using AI in Knowledge Management: Knowledge Bases and Ontologies, IEEE Intelligent Systems & Their Applications, vol. 13, no. 3, 1998b, G. Fischer and J. Ostwald, Knowledge Management: Problems, Promises, Realities, and Challenges, IEEE Intelligent Systems & Their Applications, vol. 16, no. 1, 2001, pp A. Gomez-Perez and O. Corcho, Ontology Languages for the Semantic Web, IEEE Intelligent Systems, vol. 17, no. 1, 2002, pp A. Scheiber et al., Ontology-Based Photo Annotation, IEEE Intelligent Systems & Their Applications, vol. 16, no. 3, 2001, pp S.M. Weiss et al., Maximizing Text-Mining Performance, IEEE Intelligent Systems & Their Applications, vol. 14, no. 4, 1999, pp H. Zhuge, China s E-science Knowledge Grid Environment, IEEE Intelligent Systems, vol. 19, no. 1, 2004, pp J. Heflin and J. Hendler, A portrait of the Semantic Web in action, IEEE Intelligent Systems & Their Applications, vol. 16, no. 2, 2001, pp P. Dash et al., Computational-mechanism design: A call to arms, IEEE Intelligent Systems, vol. 18, no. 6, 2003, pp

4 28. J. Gratch et al., Creating Interactive Virtual Humans: Some Assembly Required, IEEE Intelligent Systems, vol. 17, no. 4, 2002, pp J. Rickel et al., Toward a new generation of virtual humans for interactive experiences, IEEE Intelligent Systems, vol. 17, no. 4, 2002, pp S.A. McIlraith and D. L. Martin, Bringing semantics to web services, IEEE Intelligent Systems, vol. 18, no. 1, 2003, pp A. Maedche et al., Ontologies for enterprise knowledge management, IEEE Intelligent Systems, vol. 18, no. 2, 2003, pp D.E. O Leary, Knowledge Management Systems: Converting and Connecting, IEEE Intelligent Systems & Their Applications vol. 13, no. 3, 1998a, pp R. Navigli et al., Ontology learning and its automated terminology translation, IEEE Intelligent Systems, vol. 18, no. 1, 2003, pp H. Alani et al., Automatic Ontology-Based Knowledge Extraction from Web Documents, IEEE Intelligent Systems, vol. 18, no. 1, 2003, pp , 35. P.K. Chan et al., Distributed Data Mining in Credit Card Fraud Detection, IEEE Intelligent Systems & Their Applications, vol. 14, no. 6, 1999, pp U. Franke et al., Autonomous Driving Goes Downtown, IEEE Intelligent Systems & Their Applications, vol. 13, no. 6, 1998, pp K.A. Arisha et al., Impact: A Platform for Collaborating Agents, IEEE Intelligent Systems & Their Applications, vol. 14, no. 2, 1999, pp N. Shadbolt et al., The Semantic Web Revisited, IEEE Intelligent Systems, vol. 21, no. 3, 2006, pp B. Liu et al., Analyzing the subjective interestingness of association rules, IEEE Intelligent Systems & Their Applications, vol. 15, no. 5, 2000, pp D. L. McGuinness and J. Wright, An industrial-strength description logic-based configurator platform, IEEE Intelligent Systems & Their Applications, vol. 13, no. 4, 1998, pp L. Steels, Language games for autonomous robots, IEEE Intelligent Systems, vol. 16, no. 5, 2001, pp C. Atkeson et al., Using humanoid robots to study human behavior, IEEE Intelligent Systems & Their Applications, vol. 15, no. 4, 2000, pp G., Fleischanderl et al., Configuring large systems using generative constraint satisfaction, IEEE Intelligent Systems & Their Applications, vol. 13, no. 4, 1998, pp A. Goel, Design, analogy, and creativity, IEEE Intelligent Systems & Their Applications, vol. 12, no. 3, 1997, pp W. Swartout and A. Tate, Ontologies, IEEE Intelligent Systems & Their Applications, vol. 14, no. 1, 1999, pp M. Coen, The future of human-computer interaction or how I learned to stop worrying and love my intelligent room, IEEE Intelligent Systems, vol. 14, no. 2, 1999, pp S. Dumais, Using SVMs for text categorization, IEEE Intelligent Systems & Their Applications, vol. 13, no. 4, 1998, pp J. Kopena and W. Regli, DAMLJessKB: a tool for reasoning with the Semantic Web, IEEE Intelligent Systems & Their Applications, vol. 18, no. 3, 2003, pp S. Staab et al., Web Services: Been there, done that? IEEE Intelligent Systems, vol. 18, no. 1, 2003, pp C. Blaschke and A. Valencia, The frame-based module of the SUISEKI information extraction system, IEEE intelligent systems & their applications, vol. 17, no. 2, 2002, pp J. Larsson and B. Hayes-Roth, Guardian: An Intelligent Autonomous Agent for Medical Monitoring and Diagnosis,

5 IEEE Intelligent Systems, vol. 13, no.1, 1998, pp R. Masuoka et al., Ontology Enabled Pervasive Computing Applications, IEEE Intelligent Systems, vol. 18, no. 5, 2003, pp R. Altman et al., RiboWeb: An ontology-based system for collaborative molecular biology, IEEE Intelligent Systems & Their Applications, vol. 14, no. 5, 1999, pp N. Shadbolt, Ambient Intelligence, IEEE Intelligent Systems, vol. 18, no. 4, 2003, pp P. Martin and P. Eklund, Knowledge retrieval and the World Wide Web, IEEE Intelligent Systems & Their Applications, vol. 15, no. 3, 2000, pp N.F Noy and Mussen, M., Ontology Versioning in an Ontology Management Framework, IEEE Intelligent Systems, vol. 19, no. 4, 2004, pp W. Shen, Distributed Manufacturing Scheduling Using Intelligent Agents, IEEE Intelligent Systems, vol. 17, no. 1, 2002, pp

It has been 25 years since IEEE Intelligent Systems (IS) published its first

It has been 25 years since IEEE Intelligent Systems (IS) published its first A Bibliographic Analysis of IEEE Intelligent Systems Publications Zhuo Feng and Qingpeng Zhang, University of Arizona Xin Li, City University of Hong Kong Guanyan Ke, National University of Defense Technology,

More information

Journal Title ISSN 5. MIS QUARTERLY BRIEFINGS IN BIOINFORMATICS

Journal Title ISSN 5. MIS QUARTERLY BRIEFINGS IN BIOINFORMATICS List of Journals with impact factors Date retrieved: 1 August 2009 Journal Title ISSN Impact Factor 5-Year Impact Factor 1. ACM SURVEYS 0360-0300 9.920 14.672 2. VLDB JOURNAL 1066-8888 6.800 9.164 3. IEEE

More information

This list supersedes the one published in the November 2002 issue of CR.

This list supersedes the one published in the November 2002 issue of CR. PERIODICALS RECEIVED This is the current list of periodicals received for review in Reviews. International standard serial numbers (ISSNs) are provided to facilitate obtaining copies of articles or subscriptions.

More information

ENHANCING INTEROPERABILITY THROUGH THE ONTOLOGICAL FILTERING SYSTEM

ENHANCING INTEROPERABILITY THROUGH THE ONTOLOGICAL FILTERING SYSTEM 20 ENHANCING INTEROPERABILITY THROUGH THE ONTOLOGICAL FILTERING SYSTEM Raffaello Lepratti, Ulrich Berger Brandenburg University of Technology at Cottbus, Chair of Automation Technology D-03013 Cottbus,

More information

AGENTS AND AGREEMENT TECHNOLOGIES: THE NEXT GENERATION OF DISTRIBUTED SYSTEMS

AGENTS AND AGREEMENT TECHNOLOGIES: THE NEXT GENERATION OF DISTRIBUTED SYSTEMS AGENTS AND AGREEMENT TECHNOLOGIES: THE NEXT GENERATION OF DISTRIBUTED SYSTEMS Vicent J. Botti Navarro Grupo de Tecnología Informática- Inteligencia Artificial Departamento de Sistemas Informáticos y Computación

More information

A Survey about the Usage of Semantic Technologies for the Description of Robotic Components and Capabilities

A Survey about the Usage of Semantic Technologies for the Description of Robotic Components and Capabilities A Survey about the Usage of Semantic Technologies for the Description of Robotic Components and Capabilities Stefan Zander, Nadia Ahmed, Matthias Frank ahmed@fzi.de FZI RESEARCH CENTER FOR INFORMATION

More information

An ontology-based knowledge management system to support technology intelligence

An ontology-based knowledge management system to support technology intelligence An ontology-based knowledge management system to support technology intelligence Husam Arman, Allan Hodgson, Nabil Gindy University of Nottingham, School of M3, Nottingham, UK ABSTRACT High technology

More information

AI MAGAZINE AMER ASSOC ARTIFICIAL INTELL UNITED STATES English ANNALS OF MATHEMATICS AND ARTIFICIAL

AI MAGAZINE AMER ASSOC ARTIFICIAL INTELL UNITED STATES English ANNALS OF MATHEMATICS AND ARTIFICIAL Title Publisher ISSN Country Language ACM Transactions on Autonomous and Adaptive Systems ASSOC COMPUTING MACHINERY 1556-4665 UNITED STATES English ACM Transactions on Intelligent Systems and Technology

More information

Goals of this Course. CSE 473 Artificial Intelligence. AI as Science. AI as Engineering. Dieter Fox Colin Zheng

Goals of this Course. CSE 473 Artificial Intelligence. AI as Science. AI as Engineering. Dieter Fox Colin Zheng CSE 473 Artificial Intelligence Dieter Fox Colin Zheng www.cs.washington.edu/education/courses/cse473/08au Goals of this Course To introduce you to a set of key: Paradigms & Techniques Teach you to identify

More information

Using Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous Robots

Using Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous Robots Using Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous Robots Eric Matson Scott DeLoach Multi-agent and Cooperative Robotics Laboratory Department of Computing and Information

More information

A CYBER PHYSICAL SYSTEMS APPROACH FOR ROBOTIC SYSTEMS DESIGN

A CYBER PHYSICAL SYSTEMS APPROACH FOR ROBOTIC SYSTEMS DESIGN Proceedings of the Annual Symposium of the Institute of Solid Mechanics and Session of the Commission of Acoustics, SISOM 2015 Bucharest 21-22 May A CYBER PHYSICAL SYSTEMS APPROACH FOR ROBOTIC SYSTEMS

More information

The 2018 Publishing Landscape: Technological Horizons. Lyndsey Dixon Editorial Director, APAC Journals Taylor & Francis Group

The 2018 Publishing Landscape: Technological Horizons. Lyndsey Dixon Editorial Director, APAC Journals Taylor & Francis Group The 2018 Publishing Landscape: Technological Horizons Lyndsey Dixon Editorial Director, APAC Journals Taylor & Francis Group Today Waves of innovation Publishing advancements through innovation Artificial

More information

Product Configuration Strategy Based On Product Family Similarity

Product Configuration Strategy Based On Product Family Similarity Product Configuration Strategy Based On Product Family Similarity Heejung Lee Abstract To offer a large variety of products while maintaining low costs, high speed, and high quality in a mass customization

More information

Multi-Agent Systems in Distributed Communication Environments

Multi-Agent Systems in Distributed Communication Environments Multi-Agent Systems in Distributed Communication Environments CAMELIA CHIRA, D. DUMITRESCU Department of Computer Science Babes-Bolyai University 1B M. Kogalniceanu Street, Cluj-Napoca, 400084 ROMANIA

More information

MSc(CompSc) List of courses offered in

MSc(CompSc) List of courses offered in Office of the MSc Programme in Computer Science Department of Computer Science The University of Hong Kong Pokfulam Road, Hong Kong. Tel: (+852) 3917 1828 Fax: (+852) 2547 4442 Email: msccs@cs.hku.hk (The

More information

Computer Sciences & Engineering Titles

Computer Sciences & Engineering Titles Bapatla Engineering College :: Library Science Direct e-journals 2016 subscribed by the College Library. Computer Sciences & Engineering - 275 Titles S No ISSN Journal Title Imprint Specialization Subject

More information

A Pattern for Designing Distributed Heterogeneous Ontologies for Facilitating Application Interoperability

A Pattern for Designing Distributed Heterogeneous Ontologies for Facilitating Application Interoperability A Pattern for Designing Distributed Heterogeneous Ontologies for Facilitating Application Interoperability Moustafa Chenine 1 Vandana Kabilan 1 Marianela Garcia Lozano 2 1 Department of Computer and Systems

More information

The Double Role of Ontologies in Information Science Research

The Double Role of Ontologies in Information Science Research The Double Role of Ontologies in Information Science Research Frederico Fonseca College of Information Sciences and Technology Pennsylvania State University University Park, PA 16802-6823 U.S.A. Office:

More information

Pervasive Services Engineering for SOAs

Pervasive Services Engineering for SOAs Pervasive Services Engineering for SOAs Dhaminda Abeywickrama (supervised by Sita Ramakrishnan) Clayton School of Information Technology, Monash University, Australia dhaminda.abeywickrama@infotech.monash.edu.au

More information

Intro to AI & AI DAOs: Nature 2.0 Edition. Trent Ocean BigchainDB

Intro to AI & AI DAOs: Nature 2.0 Edition. Trent Ocean BigchainDB Intro to AI & AI DAOs: Nature 2.0 Edition Trent McConaghy @trentmc0 Ocean BigchainDB Trucking 3.5M jobs Retail 4.6M jobs Creative jobs? In an age of AI, How to feed our families? Achieve abundance? Ways

More information

Application of AI Technology to Industrial Revolution

Application of AI Technology to Industrial Revolution Application of AI Technology to Industrial Revolution By Dr. Suchai Thanawastien 1. What is AI? Artificial Intelligence or AI is a branch of computer science that tries to emulate the capabilities of learning,

More information

Definitions of Ambient Intelligence

Definitions of Ambient Intelligence Definitions of Ambient Intelligence 01QZP Ambient intelligence Fulvio Corno Politecnico di Torino, 2017/2018 http://praxis.cs.usyd.edu.au/~peterris Summary Technology trends Definition(s) Requested features

More information

Discovering Knowledge in Design and Manufacturing Repositories

Discovering Knowledge in Design and Manufacturing Repositories Discovering Knowledge in Design and Manufacturing Repositories William C. Regli Erik Hayes David McWherter Mitchell Peabody Cheryl Foster Yuriy Shapirsteyn Lisa Anthony Geometric and Intelligent Computing

More information

Metrology in Industry 4.0. Metromeet

Metrology in Industry 4.0. Metromeet Metrology in Industry 4.0 Metromeet 2016 25.2.2016 Toni Ventura-Traveset DATAPIXEL Innovalia Metrology Pag. 1 Industry 4.0 Cyberphysical systems Interoperable Virtualization Decentralized Self-configuration

More information

CS 380: ARTIFICIAL INTELLIGENCE INTRODUCTION. Santiago Ontañón

CS 380: ARTIFICIAL INTELLIGENCE INTRODUCTION. Santiago Ontañón CS 380: ARTIFICIAL INTELLIGENCE INTRODUCTION Santiago Ontañón so367@drexel.edu CS 380 Focus: Introduction to AI: basic concepts and algorithms. Topics: What is AI? Problem Solving and Heuristic Search

More information

The Intelligent Computer. Winston, Chapter 1

The Intelligent Computer. Winston, Chapter 1 The Intelligent Computer Winston, Chapter 1 Michael Eisenberg and Gerhard Fischer TA: Ann Eisenberg AI Course, Fall 1997 Eisenberg/Fischer 1 AI Course, Fall97 Artificial Intelligence engineering goal:

More information

Knowledge Management for Command and Control

Knowledge Management for Command and Control Knowledge Management for Command and Control Dr. Marion G. Ceruti, Dwight R. Wilcox and Brenda J. Powers Space and Naval Warfare Systems Center, San Diego, CA 9 th International Command and Control Research

More information

Artificial Intelligence and Robotics Getting More Human

Artificial Intelligence and Robotics Getting More Human Weekly Barometer 25 janvier 2012 Artificial Intelligence and Robotics Getting More Human July 2017 ATONRÂ PARTNERS SA 12, Rue Pierre Fatio 1204 GENEVA SWITZERLAND - Tel: + 41 22 310 15 01 http://www.atonra.ch

More information

Disrupting our way to a Very Human City

Disrupting our way to a Very Human City Disrupting our way to a Very Human City Zagreb Forum 2017 Technology Park Zagreb 20 th November 2017 Steve Wells COO, Fast Future Publishing steve@fastfuturepublishing.com Image: http://www.bbc.com Through

More information

Tutorial: The Web of Things

Tutorial: The Web of Things Tutorial: The Web of Things Carolina Fortuna 1, Marko Grobelnik 2 1 Communication Systems Department, 2 Artificial Intelligence Laboratory Jozef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia {carolina.fortuna,

More information

The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space

The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space , pp.62-67 http://dx.doi.org/10.14257/astl.2015.86.13 The User Activity Reasoning Model Based on Context-Awareness in a Virtual Living Space Bokyoung Park, HyeonGyu Min, Green Bang and Ilju Ko Department

More information

Technology trends in the digitalization era. ANSYS Innovation Conference Bologna, Italy June 13, 2018 Michele Frascaroli Technical Director, CRIT Srl

Technology trends in the digitalization era. ANSYS Innovation Conference Bologna, Italy June 13, 2018 Michele Frascaroli Technical Director, CRIT Srl Technology trends in the digitalization era ANSYS Innovation Conference Bologna, Italy June 13, 2018 Michele Frascaroli Technical Director, CRIT Srl Summary About CRIT Top Trends for Emerging Technologies

More information

What is AI? AI is the reproduction of human reasoning and intelligent behavior by computational methods. an attempt of. Intelligent behavior Computer

What is AI? AI is the reproduction of human reasoning and intelligent behavior by computational methods. an attempt of. Intelligent behavior Computer What is AI? an attempt of AI is the reproduction of human reasoning and intelligent behavior by computational methods Intelligent behavior Computer Humans 1 What is AI? (R&N) Discipline that systematizes

More information

Classroom Konnect. Artificial Intelligence and Machine Learning

Classroom Konnect. Artificial Intelligence and Machine Learning Artificial Intelligence and Machine Learning 1. What is Machine Learning (ML)? The general idea about Machine Learning (ML) can be traced back to 1959 with the approach proposed by Arthur Samuel, one of

More information

THE ROLE OF AI IN A VR WORLD

THE ROLE OF AI IN A VR WORLD In partnership with THE ROLE OF AI IN A VR WORLD Nirmal Mehta - @normalfaults - Bayesian by Birth Drew Farris - @drewfarris Grudgingly Bayesian Cameron Kruse - @camkruse Bayesian by Default OCTOBER 2018

More information

Application of Artificial Intelligence in Mechanical Engineering. Qi Huang

Application of Artificial Intelligence in Mechanical Engineering. Qi Huang 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017) Application of Artificial Intelligence in Mechanical Engineering Qi Huang School of Electrical

More information

Harnessing the 4th Industrial Revolution. Professor Mark Esposito Harvard University & Nexus

Harnessing the 4th Industrial Revolution. Professor Mark Esposito Harvard University & Nexus Harnessing the 4th Industrial Revolution Professor Mark Esposito Harvard University & Nexus FrontierTech @Exp_Mark Technology Foresight Series Summary 4 th Industrial Revolution Five emerging technologies

More information

Development of an Intelligent Agent based Manufacturing System

Development of an Intelligent Agent based Manufacturing System Development of an Intelligent Agent based Manufacturing System Hong-Seok Park 1 and Ngoc-Hien Tran 2 1 School of Mechanical and Automotive Engineering, University of Ulsan, Ulsan 680-749, South Korea 2

More information

Human Robotics Interaction (HRI) based Analysis using DMT

Human Robotics Interaction (HRI) based Analysis using DMT Human Robotics Interaction (HRI) based Analysis using DMT Rimmy Chuchra 1 and R. K. Seth 2 1 Department of Computer Science and Engineering Sri Sai College of Engineering and Technology, Manawala, Amritsar

More information

Merging Software Maintenance Ontologies: Our Experience

Merging Software Maintenance Ontologies: Our Experience Merging Software Maintenance Ontologies: Our Experience Aurora Vizcaíno 1, Nicolas Anquetil 2, Kathia Oliveira 2, Francisco Ruiz 1, Mario Piattini 1 1 Alarcos Research Group. University of Castilla-La

More information

The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. FairWare2018, 29 May 2018

The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. FairWare2018, 29 May 2018 The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems FairWare2018, 29 May 2018 The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems Overview of The IEEE Global

More information

CS 730/830: Intro AI. Prof. Wheeler Ruml. TA Bence Cserna. Thinking inside the box. 5 handouts: course info, project info, schedule, slides, asst 1

CS 730/830: Intro AI. Prof. Wheeler Ruml. TA Bence Cserna. Thinking inside the box. 5 handouts: course info, project info, schedule, slides, asst 1 CS 730/830: Intro AI Prof. Wheeler Ruml TA Bence Cserna Thinking inside the box. 5 handouts: course info, project info, schedule, slides, asst 1 Wheeler Ruml (UNH) Lecture 1, CS 730 1 / 23 My Definition

More information

Distributed Robotics: Building an environment for digital cooperation. Artificial Intelligence series

Distributed Robotics: Building an environment for digital cooperation. Artificial Intelligence series Distributed Robotics: Building an environment for digital cooperation Artificial Intelligence series Distributed Robotics March 2018 02 From programmable machines to intelligent agents Robots, from the

More information

The Study on the Architecture of Public knowledge Service Platform Based on Collaborative Innovation

The Study on the Architecture of Public knowledge Service Platform Based on Collaborative Innovation The Study on the Architecture of Public knowledge Service Platform Based on Chang ping Hu, Min Zhang, Fei Xiang Center for the Studies of Information Resources of Wuhan University, Wuhan,430072,China,

More information

COMP219: Artificial Intelligence. Lecture 2: AI Problems and Applications

COMP219: Artificial Intelligence. Lecture 2: AI Problems and Applications COMP219: Artificial Intelligence Lecture 2: AI Problems and Applications 1 Introduction Last time General module information Characterisation of AI and what it is about Today Overview of some common AI

More information

The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. Overview June, 2017

The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. Overview June, 2017 The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems Overview June, 2017 @johnchavens Ethically Aligned Design A Vision for Prioritizing Human Wellbeing

More information

Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems

Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems Walt Truszkowski, Harold L. Hallock, Christopher Rouff, Jay Karlin, James Rash, Mike Hinchey, and Roy Sterritt Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations

More information

Modelling of robotic work cells using agent basedapproach

Modelling of robotic work cells using agent basedapproach IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Modelling of robotic work cells using agent basedapproach To cite this article: A Skala et al 2016 IOP Conf. Ser.: Mater. Sci.

More information

Intelligent Modelling of Virtual Worlds Using Domain Ontologies

Intelligent Modelling of Virtual Worlds Using Domain Ontologies Intelligent Modelling of Virtual Worlds Using Domain Ontologies Wesley Bille, Bram Pellens, Frederic Kleinermann, and Olga De Troyer Research Group WISE, Department of Computer Science, Vrije Universiteit

More information

Latest trends in sentiment analysis - A survey

Latest trends in sentiment analysis - A survey Latest trends in sentiment analysis - A survey Anju Rose G Punneliparambil PG Scholar Department of Computer Science & Engineering Govt. Engineering College, Thrissur, India anjurose.ar@gmail.com Abstract

More information

Methodology for Agent-Oriented Software

Methodology for Agent-Oriented Software ب.ظ 03:55 1 of 7 2006/10/27 Next: About this document... Methodology for Agent-Oriented Software Design Principal Investigator dr. Frank S. de Boer (frankb@cs.uu.nl) Summary The main research goal of this

More information

Inter-enterprise Collaborative Management for Patent Resources Based on Multi-agent

Inter-enterprise Collaborative Management for Patent Resources Based on Multi-agent Asian Social Science; Vol. 14, No. 1; 2018 ISSN 1911-2017 E-ISSN 1911-2025 Published by Canadian Center of Science and Education Inter-enterprise Collaborative Management for Patent Resources Based on

More information

The Key to the Internet-of-Things: Conquering Complexity One Step at a Time

The Key to the Internet-of-Things: Conquering Complexity One Step at a Time The Key to the Internet-of-Things: Conquering Complexity One Step at a Time at IEEE QRS2017 Prague, CZ June 19, 2017 Adam T. Drobot Wayne, PA 19087 Outline What is IoT? Where is IoT in its evolution? A

More information

Graduate Studies in Engineering and Computer Science at the University of Central Florida. Department of Computer Science

Graduate Studies in Engineering and Computer Science at the University of Central Florida. Department of Computer Science Graduate Studies in Engineering and Computer Science at the University of Central Florida Department of Computer Science Dept. of Computer Science: Basic Facts q47 faculty = 37 T/TE Faculty + 10 Intstr./Lecturer

More information

ARMY RDT&E BUDGET ITEM JUSTIFICATION (R2 Exhibit)

ARMY RDT&E BUDGET ITEM JUSTIFICATION (R2 Exhibit) Exhibit R-2 0602308A Advanced Concepts and Simulation ARMY RDT&E BUDGET ITEM JUSTIFICATION (R2 Exhibit) FY 2005 FY 2006 FY 2007 FY 2008 FY 2009 FY 2010 FY 2011 Total Program Element (PE) Cost 22710 27416

More information

CSC 550: Introduction to Artificial Intelligence. Fall 2004

CSC 550: Introduction to Artificial Intelligence. Fall 2004 CSC 550: Introduction to Artificial Intelligence Fall 2004 See online syllabus at: http://www.creighton.edu/~davereed/csc550 Course goals: survey the field of Artificial Intelligence, including major areas

More information

UNIT 2 TOPICS IN COMPUTER SCIENCE. Emerging Technologies and Society

UNIT 2 TOPICS IN COMPUTER SCIENCE. Emerging Technologies and Society UNIT 2 TOPICS IN COMPUTER SCIENCE Emerging Technologies and Society EMERGING TECHNOLOGIES Technology has become perhaps the greatest agent of change in the modern world. While never without risk, positive

More information

The secret behind mechatronics

The secret behind mechatronics The secret behind mechatronics Why companies will want to be part of the revolution In the 18th century, steam and mechanization powered the first Industrial Revolution. At the turn of the 20th century,

More information

Data and Knowledge as Infrastructure. Chaitan Baru Senior Advisor for Data Science CISE Directorate National Science Foundation

Data and Knowledge as Infrastructure. Chaitan Baru Senior Advisor for Data Science CISE Directorate National Science Foundation Data and Knowledge as Infrastructure Chaitan Baru Senior Advisor for Data Science CISE Directorate National Science Foundation 1 Motivation Easy access to data The Hello World problem (courtesy: R.V. Guha)

More information

Combining two approaches for ontology building

Combining two approaches for ontology building Combining two approaches for ontology building W3C workshop on Semantic Web in Oil & Gas Houston, December 8-9, 2008 Jan Rogier, Sr. System Architect Jennifer Sampson, Sr. Ontology Engineer Frédéric Verhelst,

More information

The Future of e-tourism Research

The Future of e-tourism Research The Future of e-tourism Research From Computer Science to Web Science and Services Science Hannes Werthner hannes.werthner@ec.tuwien.ac.at Electronic Commerce Group Institute for Software Technology and

More information

AGENT PLATFORM FOR ROBOT CONTROL IN REAL-TIME DYNAMIC ENVIRONMENTS. Nuno Sousa Eugénio Oliveira

AGENT PLATFORM FOR ROBOT CONTROL IN REAL-TIME DYNAMIC ENVIRONMENTS. Nuno Sousa Eugénio Oliveira AGENT PLATFORM FOR ROBOT CONTROL IN REAL-TIME DYNAMIC ENVIRONMENTS Nuno Sousa Eugénio Oliveira Faculdade de Egenharia da Universidade do Porto, Portugal Abstract: This paper describes a platform that enables

More information

Fundamentals of Industrial Control

Fundamentals of Industrial Control Fundamentals of Industrial Control 2nd Edition D. A. Coggan, Editor Practical Guides for Measurement and Control Preface ix Contributors xi Chapter 1 Sensors 1 Applications of Instrumentation 1 Introduction

More information

Digital Transformation. A Game Changer. How Does the Digital Transformation Affect Informatics as a Scientific Discipline?

Digital Transformation. A Game Changer. How Does the Digital Transformation Affect Informatics as a Scientific Discipline? Digital Transformation A Game Changer How Does the Digital Transformation Affect Informatics as a Scientific Discipline? Manfred Broy Technische Universität München Institut for Informatics ... the change

More information

A Framework towards Sustaining Scalable Community- Driven Ontology Engineering

A Framework towards Sustaining Scalable Community- Driven Ontology Engineering A Framework towards Sustaining Scalable Community- Driven Ontology Engineering Danny Cheng College of Computer Studies De La Salle University-Manila, Philippines danny.cheng@dlsu.edu.ph Abstract. Expert

More information

Cyber-Physical Systems: Challenges for Systems Engineering

Cyber-Physical Systems: Challenges for Systems Engineering Cyber-Physical Systems: Challenges for Systems Engineering agendacps Closing Event April 12th, 2012, EIT ICT Labs, Berlin Eva Geisberger fortiss An-Institut der Technischen Universität München Cyber-Physical

More information

Resume. Specialty: Clustering analysis, Image and Speech Processing, Data Mining

Resume. Specialty: Clustering analysis, Image and Speech Processing, Data Mining Cover Letter Experience for living and studying abroad with strong communication and writing skill in English Solid research background: NOKIA grant and CIMO grant were awarded, participated several international

More information

Study and Design of Virtual Laboratory in Robotics-Learning Fei MA* and Rui-qing JIA

Study and Design of Virtual Laboratory in Robotics-Learning Fei MA* and Rui-qing JIA 2017 International Conference on Applied Mechanics and Mechanical Automation (AMMA 2017) ISBN: 978-1-60595-471-4 Study and Design of Virtual Laboratory in Robotics-Learning Fei MA* and Rui-qing JIA School

More information

9 th AU Private Sector Forum

9 th AU Private Sector Forum 9 th AU Private Sector Forum Robotics & Artificial Intelligence in the African Context 13-15 November 2017 Kefilwe Madingoane Director: and Policy Group Sub-Sahara and Southern Africa Intel Corporation

More information

Nunc Est Tempus. Jaap van der Meer, TAUS 1-2 March, 2018 XTM Live Amsterdam, The Netherlands

Nunc Est Tempus. Jaap van der Meer, TAUS 1-2 March, 2018 XTM Live Amsterdam, The Netherlands Nunc Est Tempus Jaap van der Meer, TAUS 1-2 March, 2018 XTM Live Amsterdam, The Netherlands Headlines 2017 Nearly Indistinguishable From Human Translation Google Claims Breakthrough (September 26, 2016)

More information

Iowa State University Library Collection Development Policy Computer Science

Iowa State University Library Collection Development Policy Computer Science Iowa State University Library Collection Development Policy Computer Science I. General Purpose II. History The collection supports the faculty and students of the Department of Computer Science in their

More information

Designing Semantic Virtual Reality Applications

Designing Semantic Virtual Reality Applications Designing Semantic Virtual Reality Applications F. Kleinermann, O. De Troyer, H. Mansouri, R. Romero, B. Pellens, W. Bille WISE Research group, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium

More information

DIGITAL IN MINING: PROGRESS... AND OPPORTUNITY

DIGITAL IN MINING: PROGRESS... AND OPPORTUNITY DIGITAL IN MINING: PROGRESS... AND OPPORTUNITY INTRODUCTION The mining industry has gotten some good news lately, with a lift in commodity prices and China s infrastructure growth plans. But challenges

More information

DRM vs. CC: Knowledge Creation and Diffusion on the Internet

DRM vs. CC: Knowledge Creation and Diffusion on the Internet DRM vs. CC: Knowledge Creation and Diffusion on the Internet Prof.(Dr.) Yuh-Jong Hu 2006/10/13 hu@cs.nccu.edu.tw http://www.cs.nccu.edu.tw/ jong Emerging Network Technology(ENT) Lab. Department of Computer

More information

Intelligent Power Economy System (Ipes)

Intelligent Power Economy System (Ipes) American Journal of Engineering Research (AJER) e-issn : 2320-0847 p-issn : 2320-0936 Volume-02, Issue-08, pp-108-114 www.ajer.org Research Paper Open Access Intelligent Power Economy System (Ipes) Salman

More information

Collaborative Product and Process Model: Multiple Viewpoints Approach

Collaborative Product and Process Model: Multiple Viewpoints Approach Collaborative Product and Process Model: Multiple Viewpoints Approach Hichem M. Geryville 1, Abdelaziz Bouras 1, Yacine Ouzrout 1, Nikolaos S. Sapidis 2 1 PRISMa Laboratory, University of Lyon 2, CERRAL-IUT

More information

Artificial Intelligence. Shobhanjana Kalita Dept. of Computer Science & Engineering Tezpur University

Artificial Intelligence. Shobhanjana Kalita Dept. of Computer Science & Engineering Tezpur University Artificial Intelligence Shobhanjana Kalita Dept. of Computer Science & Engineering Tezpur University What is AI? What is Intelligence? The ability to acquire and apply knowledge and skills (definition

More information

Design of Joint Controller for Welding Robot and Parameter Optimization

Design of Joint Controller for Welding Robot and Parameter Optimization 97 A publication of CHEMICAL ENGINEERING TRANSACTIONS VOL. 59, 2017 Guest Editors: Zhuo Yang, Junjie Ba, Jing Pan Copyright 2017, AIDIC Servizi S.r.l. ISBN 978-88-95608-49-5; ISSN 2283-9216 The Italian

More information

Synergy Model of Artificial Intelligence and Augmented Reality in the Processes of Exploitation of Energy Systems

Synergy Model of Artificial Intelligence and Augmented Reality in the Processes of Exploitation of Energy Systems Journal of Energy and Power Engineering 10 (2016) 102-108 doi: 10.17265/1934-8975/2016.02.004 D DAVID PUBLISHING Synergy Model of Artificial Intelligence and Augmented Reality in the Processes of Exploitation

More information

The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. Overview April, 2017

The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. Overview April, 2017 The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems Overview April, 2017 @johnchavens 3 IEEE Standards Association IEEE s Technology Ethics Landscape

More information

OVERVIEW OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES. Presented by: WTI

OVERVIEW OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES. Presented by: WTI OVERVIEW OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES Presented by: WTI www.wti-solutions.com 703.286.2416 LEGAL DISCLAIMER The entire contents of this informational publication is protected by the copyright

More information

Responsible AI and the Future of Customer Engagement. Peter van der Putten, Director Decisioning Solutions WW,Pegasystems

Responsible AI and the Future of Customer Engagement. Peter van der Putten, Director Decisioning Solutions WW,Pegasystems Responsible AI and the Future of Customer Engagement Peter van der Putten, Director Decisioning Solutions WW,Pegasystems Photo: from movie I Robot, 2004 Accuracy Model Performance Number of analyzed

More information

06 March Day Date All Streams. Thursday 03 May 2018 Engineering Mathematics II. Saturday 05 May 2018 Engineering Physics

06 March Day Date All Streams. Thursday 03 May 2018 Engineering Mathematics II. Saturday 05 May 2018 Engineering Physics / SCHOOL OF TECHNOLOGY MANAGEMENT &ENGINEERING FINAL EXAMINATION TIME TABLE (ACADEMIC YEAR: 2017 18) MASTER OF BUSINESS ADMINISTRATION IN TECHNOLOGY MANAGEMENT (2017-22) YEAR: I, SEMESTER: II CAMPUS: MUMBAI,

More information

LDS POV THE FUTURE OF WORK IN THE NEXT INDUSTRIAL REVOLUTION: 2 FRAMEWORKS

LDS POV THE FUTURE OF WORK IN THE NEXT INDUSTRIAL REVOLUTION: 2 FRAMEWORKS LDS POV THE FUTURE OF WORK IN THE NEXT INDUSTRIAL REVOLUTION: 2 FRAMEWORKS While Klaus Schwab marks our moment today as the Fourth Industrial Revolution, Jeremy Rifkin marks it as the Third Industrial

More information

CS 380: ARTIFICIAL INTELLIGENCE

CS 380: ARTIFICIAL INTELLIGENCE CS 380: ARTIFICIAL INTELLIGENCE INTRODUCTION 9/23/2013 Santiago Ontañón santi@cs.drexel.edu https://www.cs.drexel.edu/~santi/teaching/2013/cs380/intro.html CS 380 Focus: Introduction to AI: basic concepts

More information

DESIGN OF AN INNOVATION PLATFORM FOR MANUFACTURING SMES

DESIGN OF AN INNOVATION PLATFORM FOR MANUFACTURING SMES Proceedings of the 11 th International Conference on Manufacturing Research (ICMR2013) DESIGN OF AN INNOVATION PLATFORM FOR MANUFACTURING SMES Martin Ziarati Centre for Factories of the Future Design Hub

More information

Front Digital page Strategy and Leadership

Front Digital page Strategy and Leadership Front Digital page Strategy and Leadership Who am I? Prof. Dr. Bob de Wit What concerns me? - How to best lead a firm - How to design the strategy process - How to best govern a country - How to adapt

More information

THE BASIS OF A DECISION MAKING TOOL FOR RISKS EVALUATION

THE BASIS OF A DECISION MAKING TOOL FOR RISKS EVALUATION THE BASIS OF A DECISION MAKING TOOL FOR RISKS EVALUATION BASED ON ONTOLOGIES Nuria Forcada 1, Miquel Casals 2 and Alba Fuertes 3 ABSTRACT In the building and construction sector (AEC) one of the Project

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution

More information

Scaling Mobile Alternate Reality Games with Geo-Location Translation

Scaling Mobile Alternate Reality Games with Geo-Location Translation Scaling Mobile Alternate Reality Games with Geo-Location Translation Sanjeet Hajarnis, Brandon Headrick, Aziel Ferguson, and Mark O. Riedl School of Interactive Computing, Georgia Institute of Technology

More information

A Journal for Human and Machine

A Journal for Human and Machine EDITORIAL James Hendler 1, Ying Ding 2 & Barend Mons 3 1 Rensselaer Institute for Data Exploration and Applications, Rensselaer Polytechnic Institute, Troy, NY12180, USA 2 School of Informatics, Computing,

More information

FUZZY LOGIC BASED NAVIGATION SAFETY SYSTEM FOR A REMOTE CONTROLLED ORTHOPAEDIC ROBOT (OTOROB)

FUZZY LOGIC BASED NAVIGATION SAFETY SYSTEM FOR A REMOTE CONTROLLED ORTHOPAEDIC ROBOT (OTOROB) International Journal of Robotics Research and Development (IJRRD) Vol.1, Issue 1 Dec 2011 21-41 TJPRC Pvt. Ltd., FUZZY LOGIC BASED NAVIGATION SAFETY SYSTEM FOR A REMOTE CONTROLLED ORTHOPAEDIC ROBOT (OTOROB)

More information

Challenges to human dignity from developments in AI

Challenges to human dignity from developments in AI Challenges to human dignity from developments in AI Thomas G. Dietterich Distinguished Professor (Emeritus) Oregon State University Corvallis, OR USA Outline What is Artificial Intelligence? Near-Term

More information

ICT4 Manuf. Competence Center

ICT4 Manuf. Competence Center ICT4 Manuf. Competence Center Prof. Yacine Ouzrout University Lumiere Lyon 2 ICT 4 Manufacturing Competence Center AI and CPS for Manufacturing Robot software testing Development of software technologies

More information

Doctoral College Environmental Informatics

Doctoral College Environmental Informatics Doctoral College Environmental Informatics Prof. Schahram Dustdar Head of the Doctoral College Kick-Off Event 12 th March 2013 http://ei.infosys.tuwien.ac.at Agenda Introduction Faculty of Informatics

More information

Outline. What is AI? A brief history of AI State of the art

Outline. What is AI? A brief history of AI State of the art Introduction to AI Outline What is AI? A brief history of AI State of the art What is AI? AI is a branch of CS with connections to psychology, linguistics, economics, Goal make artificial systems solve

More information

Lecture 1 What is AI?

Lecture 1 What is AI? Lecture 1 What is AI? CSE 473 Artificial Intelligence Oren Etzioni 1 AI as Science What are the most fundamental scientific questions? 2 Goals of this Course To teach you the main ideas of AI. Give you

More information

Kosuke Imamura, Assistant Professor, Department of Computer Science, Eastern Washington University

Kosuke Imamura, Assistant Professor, Department of Computer Science, Eastern Washington University CURRICULUM VITAE Kosuke Imamura, Assistant Professor, Department of Computer Science, Eastern Washington University EDUCATION: PhD Computer Science, University of Idaho, December

More information

Rethinking CAD. Brent Stucker, Univ. of Louisville Pat Lincoln, SRI

Rethinking CAD. Brent Stucker, Univ. of Louisville Pat Lincoln, SRI Rethinking CAD Brent Stucker, Univ. of Louisville Pat Lincoln, SRI The views expressed are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S.

More information

International Journal of Computer Science and Engineering Survey (IJCSES)

International Journal of Computer Science and Engineering Survey (IJCSES) Computer Science & (IJCSIT) The AIRCC s Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a peer-reviewed scientific journal

More information