The Wikipedia Location Network: Overcoming Borders and Oceans
|
|
|
- Dorothy Chapman
- 6 years ago
- Views:
Transcription
1 The Wikipedia Location Network: Overcoming Borders and Oceans Johanna Geiß 1, Andreas Spitz 1, Jannik Strötgen 1,2, and Michael Gertz 1 1 Heidelberg University, Institute of Computer Science Database Systems Research Group, Heidelberg 2 Max-Planck-Institute for Informatics Databases and Information Systems, Saarbrücken {geiss, spitz, stroetgen, gertz}@informatik.uni-heidelberg.de 9th GIR Workshop Paris, November 26, 2015
2 What s the difference between France and Illinois? The Wikipedia Location Network Andreas Spitz 1 of 16
3 Motivation Network Construction Properties and Applications Summary Implicit Networks Calais Abbeville B Amiens A29 Le Havre N31 Rouen N31 A1 A26 N31 A13 N154 A10 A6 A5 N15 Orléans A19 A28 A10 A71 The Wikipedia Location Network Auxerre A6 A77 51 N1 A85 100mi 0 Troyes A19 4 Le Mans Tours Reims A26 Chartres A11 A11 Angers A34 N31 A4 N154 A28 A16 N7 7 Caen Bourges Nevers 200km Andreas Spitz 2 of 16
4 Overview 1 Motivation 2 Network Construction 3 Properties and Applications 4 Summary The Wikipedia Location Network Andreas Spitz 3 of 16
5 Foundations of Implicit Networks Most of the circuits currently in use are specially constructed for competition. The current street circuits are Monaco, Melbourne, Montreal, Singapore and Sochi, although races in other urban locations come and go ( Las Vegas and Detroit, for example) and proposals for such races are often discussed most recently New Jersey. en.wikipedia.org/wiki/formula One The Wikipedia Location Network Andreas Spitz 4 of 16
6 Multi-Graph Extraction s(v, w) := distance in sentences between toponyms v and w ( ) s(v, w) d(v, w) := exp 2 The Wikipedia Location Network Andreas Spitz 5 of 16
7 Multi-Graph Extraction s(v, w) := distance in sentences between toponyms v and w ( ) s(v, w) d(v, w) := exp 2 The Wikipedia Location Network Andreas Spitz 5 of 16
8 Edge Aggregation Distance-based cosine for nodes v and w: i dicos(v, w) := d i(v) d i (w) i d i(v) 2 i d i(w) 2 The Wikipedia Location Network Andreas Spitz 6 of 16
9 Toponym Extraction in Wikipedia The Wikipedia Location Network Andreas Spitz 7 of 16
10 Network Overview Node types: Network statistics: V E density clustering coefficient 723, , 890, The Wikipedia Location Network Andreas Spitz 8 of 16
11 Network Properties network metric % of remaining edges clustering coefficient number of components assortativity dicos threshold The Wikipedia Location Network Andreas Spitz 9 of 16
12 Hierarchical Evaluation Does the network contain classic geographical relations? 1. Extract hierarchical relations from Wikidata: The Wikipedia Location Network Andreas Spitz 10 of 16
13 Hierarchical Evaluation Does the network contain classic geographical relations? 1. Extract hierarchical relations from Wikidata: 2. Correspondence of highest weighted incident edge in network with the link to parent in hierarchy: cities: 81.6% precision for link to parent country countries: 80.3% precision for link to parent continent The Wikipedia Location Network Andreas Spitz 10 of 16
14 The Network at a Glance What s the difference between France and Illinois? The Wikipedia Location Network Andreas Spitz 11 of 16
15 The Network at a Glance What s the difference between France and Illinois? The Wikipedia Location Network Andreas Spitz 11 of 16
16 Applications in NLP Support for NLP tasks: Disambiguation Coreference analysis Cross- and multilingual analysis Data analysis by clustering of the network: Finding place similarities Categorization of places Extraction of hierarchies The Wikipedia Location Network Andreas Spitz 12 of 16
17 Motivation Network Construction Properties and Applications Summary Applications in Event Analysis The network supports spatial components of: Event detection Event extraction Event correlation November Sun Mon Tue Wed Thu 4 5 Fri Sat 6 7 Event similarity The Wikipedia Location Network 4 5 Andreas Spitz 13 of 16
18 Summary New method for implicit network extraction that is based on text distances of toponyms, applicable to any geo-tagged corpus. Application to Wikipedia / Wikidata results in negligible number of mistags, accurate and reliable network, useful resource for NLP tasks. The Wikipedia Location Network Andreas Spitz 14 of 16
19 Thank you! Questions? The Wikipedia Location Network is available for download. The Wikipedia Location Network Andreas Spitz 15 of 16
20 Bibliography Johanna Geiß, Andreas Spitz, and Michael Gertz. Beyond Friendships and Followers: The Wikipedia Social Network. In ASONAM 15, Yu Liu, Fahui Wang, Chaogui Kang, Yong Gao, and Yongmei Lu. Analyzing Relatedness by Toponym Co-Occurrences on Web Pages. T. GIS, 18(1), Gianluca Quercini and Hanan Samet. Uncovering the Spatial Relatedness in Wikipedia. In SIGSPATIAL 14, Denny Vrandečić and Markus Krötzsch. Wikidata: A Free Collaborative Knowledgebase. C. ACM, 57(10), The Wikipedia Location Network Andreas Spitz 16 of 16
Fault analysis framework. Ana Gainaru, Franck Cappello, Bill Kramer
Fault analysis framework Ana Gainaru, Franck Cappello, Bill Kramer Third Workshop of the INRIA Illinois Joint Laboratory on Petascale Computing, Bordeaux June 22 24 2010 Contents Introduction Framework
QS Spiral: Visualizing Periodic Quantified Self Data
Downloaded from orbit.dtu.dk on: May 12, 2018 QS Spiral: Visualizing Periodic Quantified Self Data Larsen, Jakob Eg; Cuttone, Andrea; Jørgensen, Sune Lehmann Published in: Proceedings of CHI 2013 Workshop
Your Neighbors Affect Your Ratings: On Geographical Neighborhood Influence to Rating Prediction
Your Neighbors Affect Your Ratings: On Geographical Neighborhood Influence to Rating Prediction Longke Hu Aixin Sun Yong Liu Nanyang Technological University Singapore Outline 1 Introduction 2 Data analysis
AN EFFICIENT METHOD FOR FRIEND RECOMMENDATION ON SOCIAL NETWORKS
AN EFFICIENT METHOD FOR FRIEND RECOMMENDATION ON SOCIAL NETWORKS Pooja N. Dharmale 1, P. L. Ramteke 2 1 CSIT, HVPM s College of Engineering & Technology, SGB Amravati University, Maharastra, INDIA dharmalepooja@gmail.com
Brief Encounters. Sensing, Modeling and Visualizing Urban Mobility and Copresence Networks
Brief Encounters Sensing, Modeling and Visualizing Urban Mobility and Copresence Networks Vassilis Kostakos Madeira Interactive Technologies Institute University of Madeira Eamonn O Neill 1, Alan Penn
Understanding Community Effects on Information Diffusion!
Understanding Community Effects on Information Diffusion! Shuyang Lin Qingbo Hu Guan Wang Philip S. Yu University of Illinois at Chicago Presented by Hong- Han Shuai NaConal Taiwan University 2 Picture
Millimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario
Millimeter Wave Small-Scale Spatial Statistics in an Urban Microcell Scenario Shu Sun, Hangsong Yan, George R. MacCartney, Jr., and Theodore S. Rappaport {ss7152,hy942,gmac,tsr}@nyu.edu IEEE International
Exploring the New Trends of Chinese Tourists in Switzerland
Exploring the New Trends of Chinese Tourists in Switzerland Zhan Liu, HES-SO Valais-Wallis Anne Le Calvé, HES-SO Valais-Wallis Nicole Glassey Balet, HES-SO Valais-Wallis Address of corresponding author:
Exploiting Geo-fences to Document Truck Activity Times at the Ambassador and Blue Water Bridge Gateways
Exploiting Geo-fences to Document Truck Activity Times at the Ambassador and Blue Water Bridge Gateways Mark R. McCord The Ohio State University Columbus, OH Ohio Freight Conference Toledo, Ohio September
Computing Touristic Walking Routes using Geotagged Photographs from Flickr
Research Collection Conference Paper Computing Touristic Walking Routes using Geotagged Photographs from Flickr Author(s): Mor, Matan; Dalyot, Sagi Publication Date: 2018-01-15 Permanent Link: https://doi.org/10.3929/ethz-b-000225591
National Census Geography Some lessons learned and future challenges in European countries
UNSD-AITRS Regional Workshop on the Integration of Statistical and Geospatial Information Amman, Jordan, 16-20 February, 2015 National Census Geography Some lessons learned and future challenges in European
INNOVATION IN A EUROPEAN DIGITAL SINGLE MARKET THE ROLE OF PATENTS
INNOVATION IN A EUROPEAN DIGITAL SINGLE MARKET THE ROLE OF PATENTS Comments on Policy and Research Issues Dietmar Harhoff Max Planck Institute for Innovation and Competition Brussels, March 17 2015 Max
Improve access to EU content through thesaurus matching
Improve access to EU content through thesaurus matching Laurent Béguin & Jérôme Euzenat & Paris, France laurent.begin@mondeca.com Montbonnot, France Jerome.Euzenat@inrialpes.fr November 18, 2010 Main anchors
179-Parent-Calendar. Thu Sep 3, All day Day 1. All day Fifth and Fourth Switch Specials. 8:30am - 11:30am 5th Grade Math Universal Screener
Thu Sep 3, 2015 Fri Sep 4, 2015 Sat Sep 5, 2015 All day Day 1 Thu Sep 3, 2015 - Fri Sep 4, 2015 https://plus.google.com/hangouts/_/nisd.net/day-1?hceid=bmlzzc5uzxrfmzuzotm2mzuznjm5mz Calendar: All day
Time-aware Collaborative Topic Regression: Towards Higher Relevance in Textual Items Recommendation
July, 12 th 2018 Time-aware Collaborative Topic Regression: Towards Higher Relevance in Textual Items Recommendation BIRNDL 2018, Ann Arbor Anas Alzogbi University of Freiburg Databases & Information Systems
INNOVATION NETWORKS IN THE GERMAN LASER INDUSTRY
INNOVATION NETWORKS IN THE GERMAN LASER INDUSTRY EVOLUTIONARY CHANGE, STRATEGIC POSITIONING AND FIRM INNOVATIVENESS Dissertation Submitted in fulfillment of the requirements for the degree "Doktor der
Power Networking For Results
Power Networking For Results Guide to Help You Build Business Relationships that Help You Achieve Your Goals Workbook Page 1 TABLE OF CONTENTS Define Your Networking Purpose... 3 Evaluating Your Skills...
CROSS-LAYER FEATURES IN CONVOLUTIONAL NEURAL NETWORKS FOR GENERIC CLASSIFICATION TASKS. Kuan-Chuan Peng and Tsuhan Chen
CROSS-LAYER FEATURES IN CONVOLUTIONAL NEURAL NETWORKS FOR GENERIC CLASSIFICATION TASKS Kuan-Chuan Peng and Tsuhan Chen Cornell University School of Electrical and Computer Engineering Ithaca, NY 14850
Audio Similarity. Mark Zadel MUMT 611 March 8, Audio Similarity p.1/23
Audio Similarity Mark Zadel MUMT 611 March 8, 2004 Audio Similarity p.1/23 Overview MFCCs Foote Content-Based Retrieval of Music and Audio (1997) Logan, Salomon A Music Similarity Function Based On Signal
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
A Study on Performance Analysis of Distance Estimation RSSI in Wireless Sensor Networks
A Study on Performance Analysis of Distance Estimation RSSI in Wireless Sensor Networks S.Satheesh 1, Dr.V.Vinoba 2 1 Assistant professor, T.J.S. Engineering College, Chennai-601206, Tamil Nadu, India.
IMAGE TYPE WATER METER CHARACTER RECOGNITION BASED ON EMBEDDED DSP
IMAGE TYPE WATER METER CHARACTER RECOGNITION BASED ON EMBEDDED DSP LIU Ying 1,HAN Yan-bin 2 and ZHANG Yu-lin 3 1 School of Information Science and Engineering, University of Jinan, Jinan 250022, PR China
Introduction to Information Visualization
Introduction to Information Visualization 1 Source: Jean-Daniel Fekete, Jarke J. van Wijk, John T. Stasko, and Chris North. The Value of Information Visualization (2008) 2 I II III IV x y x y x y x y 10.0
Visual analytic tools for monitoring and understanding the emergence and evolution of innovations in science & technology
Visual analytic tools for monitoring and understanding the emergence and evolution of innovations in science & technology Cody Dunne Dept. of Computer Science and Human-Computer Interaction Lab, University
A SWIMMING RACE. Barbara. Ann. Carol. Who was the winner? How long did the winner take to swim the 50 meter race?
A SWIMMING RACE This problem gives you the chance to: describe a race, given a distance - time graph Ann, Barbara and Carol decide to have a race in the swimming pool. This graph shows what happened during
Extracting Social Networks from Literary Fiction
Extracting Social Networks from Literary Fiction David K. Elson, Nicholas Dames, Kathleen R. McKeown Presented by Audrey Lawrence and Kathryn Lingel Introduction Network of 19th century novel's social
LOCATION PRIVACY & TRAJECTORY PRIVACY. Elham Naghizade COMP20008 Elements of Data Processing 20 rd May 2016
LOCATION PRIVACY & TRAJECTORY PRIVACY Elham Naghizade COMP20008 Elements of Data Processing 20 rd May 2016 Part I TRAJECTORY DATA: BENEFITS & CONCERNS Ubiquity of Trajectory Data Location data being collected
Mobility of Inventors and Growth of Technology Clusters
Mobility of Inventors and Growth of Technology Clusters AT&T Symposium August 3-4 2006 M. Hosein Fallah, Ph.D. Jiang He Wesley J. Howe School of Technology Management Stevens Institute of Technology Hoboken,
Enhancing Future Networks with Radio Environmental Information
FIRE workshop 1: Experimental validation of cognitive radio/cognitive networking solutions Enhancing Future Networks with Radio Environmental Information FARAMIR project Jad Nasreddine, Janne Riihijärvi
Example Report Station Community Engagement Survey
Station Community Engagement Survey Report Prepared for: EXAMPLE REPORT INTRODUCTION About this Research The results shown in this report are based on the responses to the questionnaire that your station
Improving the Machine Interpretation of Internet Posts
Improving the Machine Interpretation of Internet Posts Part 2 Extraction of a lightweight, domain independent semantic network from the Wikipedia categorization system Università degli Studi di Pavia CVMLab
The Canadian Century Research Infrastructure: locating and interpreting historical microdata
The Canadian Century Research Infrastructure: locating and interpreting historical microdata DLI / ACCOLEDS Training 2008 Mount Royal College, Calgary December 3, 2008 Nicola Farnworth, CCRI Coordinator,
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)
A Polyline-Based Visualization Technique for Tagged Time-Varying Data
A Polyline-Based Visualization Technique for Tagged Time-Varying Data Sayaka Yagi, Yumiko Uchida, Takayuki Itoh Ochanomizu University {sayaka, yumi-ko, itot}@itolab.is.ocha.ac.jp Abstract We have various
READING LOGWITH READER RESPONSE QUESTIONS. freebie
WEEKLY READING LOGWITH READER RESPONSE QUESTIONS freebie READING LOG Name: Remember to read for at least 20 minutes per night. Answer one question per night. Use complete sentences in your answer. Mon
Programs with an * next to the name will require a pre-registration at the front desk or online at fwymca.org. Sun Mon Tue Wed Thu Fri Sat
January 2016 Youth Fit, Mon 530-6p / 7th Grade, Mon 5-530p / Teen Leaders Club, Mon 6-730p /, Tues 5-10pm Guitar Lesson, Wed 4-445p & 5-545p / String, Wed 5-545p / Ukulele, Wed 6-645p / Middle School Mania
Towards Location and Trajectory Privacy Protection in Participatory Sensing
Towards Location and Trajectory Privacy Protection in Participatory Sensing Sheng Gao 1, Jianfeng Ma 1, Weisong Shi 2 and Guoxing Zhan 2 1 Xidian University, Xi an, Shaanxi 710071, China 2 Wayne State
INTERNATIONAL WINTER SCHOOL
INTERNATIONAL WINTER SCHOOL RESEARCH PROMOTION, TECHNOLOGY TRANSFER AND BUSINESS CREATION November 22nd 2010, Alexandria, Egypt Anita COHEN Délégation à la Recherche Clinique et à l'innovation 80 rue Brochier
MAE 298 June 6, Wrap up
MAE 298 June 6, 2006 Wrap up Review What are networks? Structural measures to characterize them Network models (theory) Real-world networks (guest lectures) What are networks Nodes and edges Geometric
When Does (German) Literature Take Place? On the Analysis of Temporal Expressions in Large Corpora
When Does (German) Literature Take Place? On the Analysis of Temporal Expressions in Large Corpora Frank Fischer 1 and Jannik Strötgen 2 1 Göttingen Centre for Digital Humanities, University of Göttingen,
Large Scale Topic Detection using Node-Cut Partitioning on Dense Weighted-Graphs
Large Scale Topic Detection using Node-Cut Partitioning on Dense Weighted-Graphs Kambiz Ghoorchian Šarūnas Girdzijauskas ghoorian@kth.se 22.06.206 Motivation Solution Results Conclusion 2 What is a Topic
The Economics of the Marine Sector in Ireland
The Economics of the Marine Sector in Ireland Dr. Karyn Morrissey, SEMRU, NUI, Galway & RERC, Teagasc SEMRU, Socio-Economic Research Workshop, 3 rd of November, 2009 0 Presentation Overview The Marine
The Study of Patent Prior Art Retrieval Using Claim Structure and Link Analysis
Association for Information Systems AIS Electronic Library (AISeL) PACIS 2010 Proceedings Pacific Asia Conference on Information Systems (PACIS) 2010 The Study of Patent Prior Art Retrieval Using Claim
Smart IoT Data Collection
Smart IoT Data Collection Nikos Fotiou, Vasilios A. Siris, Alexandros Mertzianis, George C. Polyzos Mobile Multimedia Laboratory, Department of Informatics School of Information Sciences & Technology Athens
On the Radar: Cortical.io Contract Intelligence v2.4 extracts key information from contracts
On the Radar: Cortical.io Contract Intelligence v2.4 extracts key information from contracts Semantic folding-based AI solution for semantic fingerprinting of legal documents Publication Date: 01 Apr 2019
A Knowledge Discovery Framework for XML-Literature-Data
National Science Library Chinese Academy of Sciences A Knowledge Discovery Framework for XML-Literature-Data Lixue Zou*, Li Wang, Xiaoli Chen, Xiwen Liu zoulx@mail.las.ac.cn National Science Library, Chinese
Mt. Bethel U.M.C. Recreation Ministries
Mt. Bethel U.M.C. Ministries Week Day Date Time Court 1A Court 1B Court 2A Court 2B North Campus Practices 1 Mon Nov. 6 5:15 A1 A2 B1 B2 D1 D2 D3 D4 H1 H2 E1 F1 F2 F3 Tues Nov. 7 C1 C2 B3 D5 E2 F4 D6 D7
A New Scheme for No Reference Image Quality Assessment
Author manuscript, published in "3rd International Conference on Image Processing Theory, Tools and Applications, Istanbul : Turkey (2012)" A New Scheme for No Reference Image Quality Assessment Aladine
Concept Based Hybrid Fusion of Multimodal Event Signals
Concept Based Hybrid Fusion of Multimodal Event Signals Yuhui Wang, Christian von der Weth, Yehong Zhang, Kian Hsiang Low, Vivek K. Singh, and Mohan Kankanhalli NUS Graduate School for Integrative Sciences
Updates. v Quiz 1 has been graded (by our TA) Grades are available on Canvas
Updates v Quiz has been graded (by our TA) Grades are available on Canvas v Project timeline Post your project final reports in the discussion forum (by / Tue :9pm). Submit your self-and-peer evaluation
Visualizing Sensor Data
Visualizing Sensor Data Hauptseminar Information Visualization - Wintersemester 2008/2009" Stefan Zankl LFE Medieninformatik Datum LMU Department of Media Informatics Hauptseminar WS 2008/2009 zankls@cip.ifi.lmu.de
EACL th Conference of the European Chapter of the Association for Computational Linguistics
EACL 2012 13th Conference of the European Chapter of the Association for Computational Linguistics Proceedings of the Workshop on Semantic Analysis in Social Media April 23 2012 Avignon, France c 2012
Principal component aggregation in wireless sensor networks
Principal component aggregation in wireless sensor networks Y. Le Borgne 1 and G. Bontempi Machine Learning Group Department of Computer Science Université Libre de Bruxelles Brussels, Belgium August 29,
Halo Assembly Bias. and its Impact on Galaxy Formation. Frank C. van den Bosch
Halo and its Impact on Galaxy Frank C. van den Bosch in collaboration with Yu Wang, Yaoquan Shu, Xiaohu Yang (SHAO) Houjun Mo (UMass), Simone Weinmann (MPA) Ringberg, December 5, 2007 MPIA-GC retreat -
Activities of the Emerging g Risks Unit
Activities of the Emerging g Risks Unit The Emerging Risks Unit: Tobin Robinson, Andrea Altieri, Luana Censi, Andrea Gervelmeyer, Tilemachos Goumperis, Aglika Hristova, Simona Pecoraro, Agnes Rortais 1
Innovation and Collaboration Patterns between Research Establishments
RIETI Discussion Paper Series 15-E-049 Innovation and Collaboration Patterns between Research Establishments INOUE Hiroyasu University of Hyogo NAKAJIMA Kentaro Tohoku University SAITO Yukiko Umeno RIETI
Image Restoration and Super- Resolution
Image Restoration and Super- Resolution Manjunath V. Joshi Professor Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat email:mv_joshi@daiict.ac.in Overview Image
US Census. Thomas Talbot February 5, 2013
US Census Thomas Talbot February 5, 2013 Outline Census Geography TIGER Files Decennial Census - Complete count American Community Survey Yearly Sample Obtaining Data - American Fact Finder - Census FTP
Introduction to BioImage Analysis
Introduction to BioImage Analysis Qi Gao CellNetworks Math-Clinic core facility 22-23.02.2018 MATH- CLINIC Math-Clinic core facility Data analysis services on bioimage analysis & bioinformatics: 1-to-1
Detection, Recognition, and Localization of Multiple Cyber/Physical Attacks through Event Unmixing
Detection, Recognition, and Localization of Multiple Cyber/Physical Attacks through Event Unmixing Wei Wang, Yang Song, Li He, Penn Markham, Hairong Qi, Yilu Liu Electrical Engineering and Computer Science
Streaming News Image Summarization
2016 23rd International Conference on Pattern Recognition (ICPR) Cancún Center, Cancún, México, December 4-8, 2016 Streaming News Image Summarization Hao Li Shangfu Peng Hanan Samet University of Maryland,
On-site Traffic Accident Detection with Both Social Media and Traffic Data
On-site Traffic Accident Detection with Both Social Media and Traffic Data Zhenhua Zhang Civil, Structural and Environmental Engineering University at Buffalo, The State University of New York, Buffalo,
Probability-Based Tile Pre-fetching and Cache Replacement Algorithms for Web Geographical Information Systems
Probability-Based Tile Pre-fetching and Cache Replacement Algorithms for Web Geographical Information Systems Yong-Kyoon Kang, Ki-Chang Kim, and Yoo-Sung Kim Department of Computer Science & Engineering
NEXT GENERATION MODELS FOR PLANETARY MANAGERS
NEXT GENERATION MODELS FOR PLANETARY MANAGERS Michael Barton - May 2016 A HUMANIZED PLANET > 50% of land in crops or pasture A HUMANIZED PLANET > 50% of land in crops or pasture > 50% of forests cleared;
Project Proposals & Management
Project Proposals & Management Complex systems Computer Science Implementation and applications to engineering University of Jordan, Amman, Jordan August 21-23, 2007 Global objectives Draw the scientific
Science of Science & Innovation Policy and Understanding Science. Julia Lane
Science of Science & Innovation Policy and Understanding Science Julia Lane Graphic Source: 2005 Presentation by Neal Lane on the Future of U.S. Science and Technology Tag Cloud Source: Generated from
A Machine Learning Based Approach for Predicting Undisclosed Attributes in Social Networks
A Machine Learning Based Approach for Predicting Undisclosed Attributes in Social Networks Gergely Kótyuk Laboratory of Cryptography and Systems Security (CrySyS) Budapest University of Technology and
A Study on Retrieval Algorithm of Black Water Aggregation in Taihu Lake Based on HJ-1 Satellite Images
IOP Conference Series: Earth and Environmental Science OPEN ACCESS A Study on Retrieval Algorithm of Black Water Aggregation in Taihu Lake Based on HJ-1 Satellite Images To cite this article: Zou Lei et
Volcanic Earthquake Timing Using Wireless Sensor Networks
Volcanic Earthquake Timing Using Wireless Sensor Networks GuojinLiu 1,2 RuiTan 2,3 RuoguZhou 2 GuoliangXing 2 Wen-Zhan Song 4 Jonathan M. Lees 5 1 Chongqing University, P.R. China 2 Michigan State University,
Social Network Analysis and Its Developments
2013 International Conference on Advances in Social Science, Humanities, and Management (ASSHM 2013) Social Network Analysis and Its Developments DENG Xiaoxiao 1 MAO Guojun 2 1 Macau University of Science
computational social networks 5th pdf Computational Social Networks Home page Computational Social Networks SpringerLink
DOWNLOAD OR READ : COMPUTATIONAL SOCIAL NETWORKS 5TH INTERNATIONAL CONFERENCE CSONET 2016 HO CHI MINH CITY VIETNAM AUGUST 2 4 2016 PROCEEDINGS LECTURE NOTES IN COMPUTER SCIENCE PDF EBOOK EPUB MOBI Page
Vegetation Phenology. Quantifying climate impacts on ecosystems: Field and Satellite Assessments
Vegetation Phenology Quantifying climate impacts on ecosystems: Field and Satellite Assessments Plants can tell us a story about climate. Timing of sugar maple leaf drop (Ollinger, S.V. Potential effects
Anca ANDREICA Producția științifică
Anca ANDREICA Producția științifică Lucrări categoriile A, B și C Lucrări categoriile A și B puncte 9 puncte Lucrări categoria A A. Agapie, A. Andreica, M. Giuclea, Probabilistic Cellular Automata, Journal
M.S., Quantitative Finance, May 2009 Rutgers Business School - Newark and New Brunswick Rutgers, The State University of New Jersey, USA
Keli Xiao, Ph.D. Contact Information Research Interests Harriman Hall 346 Tel: (631) 762-4760 College of Business Fax: (631) 632-9412 Stony Brook University E-mail: Keli.Xiao@stonybrook.edu Stony Brook,
Online Appendix for Is the Phone Mightier than the Sword? Cell Phones and Insurgent Violence in Iraq. June 6, 2014
Online Appendix for Is the Phone Mightier than the Sword? Cell Phones and Insurgent Violence in Iraq June 6, 2014 Contents (listed in the order in which they are referenced in the main article) A01. Figure:
A Feature-based Method for MBD Model Exchange among Heterogeneous CAD Systems
4th International Conference on Machinery, Materials and Information Technology Applications (ICMMITA 2016) A Feature-based Method for MBD Model Exchange among Heterogeneous CAD Systems Xie Weikang1, a,
Analysis of Data Mining Methods for Social Media
65 Analysis of Data Mining Methods for Social Media Keshav S Rawat Department of Computer Science & Informatics, Central university of Himachal Pradesh Dharamshala (Himachal Pradesh) Email:Keshav79699@gmail.com
CONTENTS FOREWORD... VII ACKNOWLEDGMENTS... IX CONTENTS... XI LIST OF FIGURES... XVII LIST OF TABLES... XIX LIST OF ABBREVIATIONS...
CONTENTS FOREWORD... VII ACKNOWLEDGMENTS... IX CONTENTS... XI LIST OF FIGURES... XVII LIST OF TABLES... XIX LIST OF ABBREVIATIONS... XXI 1 INTRODUCTION... 1 1.1 Problem Definition... 1 1.2 Research Gap
The impact of low-latency DORIS data on near real-time VTEC modeling
The impact of low-latency DORIS data on near real-time VTEC modeling Eren Erdogan, Denise Dettmering, Michael Schmidt, Andreas Goss 2018 IDS Workshop Ponta Delgada (Azores Archipelago), Portugal, 24-26
The Latest from the Fung Institute Patent Lab Gabe Fierro, Lee Fleming, Kevin Johnson, Aditya Kaulagi, Guan Cheng Li, Sophia Pham, Bill Yeh
The Latest from the Fung Institute Patent Lab Gabe Fierro, Lee Fleming, Kevin Johnson, Aditya Kaulagi, Guan Cheng Li, Sophia Pham, Bill Yeh SAB: Stu Graham (Ga Tech), David Kappos (Cravath, Swain and Moore),
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
Regional management of underwater noise made possible: an achievement of the BIAS project
Regional management of underwater noise made possible: an achievement of the BIAS project T. Folegot, D. Clorennec, Quiet-Oceans, Brest A. Nikolopoulos, F. Fyhr, Aquabiota Water Research, Stockholm M.
An Empirical Research of Manufacturing Oriented-creative Industry Development Take Apparel Industry for Example Yi-Ling ZHANG 1, 2 and Zi-Ying YU 1
2016 3 rd International Conference on Social Science (ICSS 2016) ISBN: 978-1-60595-410-3 An Empirical Research of Manufacturing Oriented-creative Industry Development Take Apparel Industry for Example
MINGON KANG. (817) UTA Boulevard, Engineering Research Building 544, Arlington, TX 76019
MINGON KANG (817) 734-3796 mkang@uta.edu http://biomecis.uta.edu/~kangjuk 500 UTA Boulevard, Engineering Research Building 544, Arlington, TX 76019 EDUCATION 2010-2015 Ph.D. in Computer Science and Engineering
Matching Words and Pictures
Matching Words and Pictures Dan Harvey & Sean Moran 27th Feburary 2009 Dan Harvey & Sean Moran (DME) Matching Words and Pictures 27th Feburary 2009 1 / 40 1 Introduction 2 Preprocessing Segmentation Feature
Textual Characteristics based High Quality Online Reviews Evaluation and Detection
2013 Submitted on: October 30, Textual Characteristics based High Quality Online Reviews Evaluation and Detection Hui Nie School of Information Management, Sun Yat-sen University, Guangzhou, China. E-mail
Veracity Managing Uncertain Data. Skript zur Vorlesung Datenbanksystem II Dr. Andreas Züfle
Veracity Managing Uncertain Data Skript zur Vorlesung Datenbanksystem II Dr. Andreas Züfle Geo-Spatial Data Huge flood of geo-spatial data Modern technology New user mentality Great research potential
Capturing and Classifying Ontology Evolution in News Media Archives
Capturing and Classifying Ontology Evolution in News Media Archives Albert Weichselbraun, Arno Scharl and Wei Liu Vienna University of Economics and Business Administration Department of Information Systems
GEOSCIENCES, MARINE SCIENCE, ENVIRONMENTAL SCIENCE POSTGRADUATE TIMETABLES, 2008
GEOSCIENCES, MARINE SCIENCE, ENVIRONMENTAL SCIENCE POSTGRADUATE TIMETABLES, 2008 Semester 1 ENVI5705 Ecolog Principles for Environ Scientists (Contact: Dr Charlotte Taylor, cetaylor@bio.usyd.edu.au) Workshop
Urban Traffic Bottleneck Identification Based on Congestion Propagation
Urban Traffic Bottleneck Identification Based on Congestion Propagation Wenwei Yue, Changle Li, Senior Member, IEEE and Guoqiang Mao, Fellow, IEEE State Key Laboratory of Integrated Services Networks,
Recommender Systems TIETS43 Collaborative Filtering
+ Recommender Systems TIETS43 Collaborative Filtering Fall 2017 Kostas Stefanidis kostas.stefanidis@uta.fi https://coursepages.uta.fi/tiets43/ selection Amazon generates 35% of their sales through recommendations
Customer Showcase > Defense and Intelligence
Customer Showcase Skyline TerraExplorer is a critical visualization technology broadly deployed in defense and intelligence, public safety and security, 3D geoportals, and urban planning markets. It fuses
Study on Relationship between Scientific and Technological Resource Sharing and Regional Economic Development. Ya Nie
International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2016) Study on Relationship between Scientific and Technological Resource Sharing and Regional Economic Development
Detection of Compound Structures in Very High Spatial Resolution Images
Detection of Compound Structures in Very High Spatial Resolution Images Selim Aksoy Department of Computer Engineering Bilkent University Bilkent, 06800, Ankara, Turkey saksoy@cs.bilkent.edu.tr Joint work
Forest mapping and monitoring in Russia using EO data: R&D activity overview
Russian Academy of Sciences Space Research Institute (IKI) Forest mapping and monitoring in Russia using EO data: R&D activity overview Sergey Bartalev 11.09 13.09.2017, 3rd User Workshop of the GlobBiomass
Content Based Image Retrieval Using Color Histogram
Content Based Image Retrieval Using Color Histogram Nitin Jain Assistant Professor, Lokmanya Tilak College of Engineering, Navi Mumbai, India. Dr. S. S. Salankar Professor, G.H. Raisoni College of Engineering,
Candidate Number. General Certificate of Secondary Education Foundation Tier November 2012
Centre Number Surname Candidate Number For Examiner s Use Other Names Candidate Signature Examiner s Initials General Certificate of Secondary Education Foundation Tier November 2012 Pages 3 4 5 Mark Mathematics
DS504/CS586: Big Data Analytics Recommender System
Welcome to DS0/CS86: Big Data Analytics Recommender System Prof. Yanhua Li Time: 6:00pm 8:0pm Thu. Location: KH6 Fall 07 Example: Recommender Systems v Customer X Star War I Star War II v Customer Y Does
Drafting Committee for the Asia Pacific Plan of Action for Space Applications for Sustainable Development ( ) Republic of Korea
Drafting Committee for the Asia Pacific Plan of Action for Space Applications for Sustainable Development (2018 2030) Republic of Korea Bangkok, Thailand 31 May 1 June 2018 김 1 KARI Introduction Government
Automatic Crack Detection on Pressed panels using camera image Processing
8th European Workshop On Structural Health Monitoring (EWSHM 2016), 5-8 July 2016, Spain, Bilbao www.ndt.net/app.ewshm2016 Automatic Crack Detection on Pressed panels using camera image Processing More