Improve access to EU content through thesaurus matching
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1 Improve access to EU content through thesaurus matching Laurent Béguin & Jérôme Euzenat & Paris, France Montbonnot, France November 18, 2010
2 Main anchors to match thesauri Terms and text (labels, definitions, notes); Hierarchical structure; Multilinguality; Annotated corpora. Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 2 / 14
3 Thesaurus matcher blueprint 1. Matching independently the sub-thesaurus in each language based on their terminological information; 2. Aggregating this information into one similarity measure. 3. Extracting an alignment from these similarity using structural guides. To this we should add context-based matching... if necessary. Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 3 / 14
4 Terms Most of the terms are compound (phrases or sentence parts). They would benefit from normalisation (stemming) before being used with different techniques: Classical information retrieval techniques (e.g., TF*IDF). It can be amplified by neighbours and multi-linguality. More precise, but costly, linguistic techniques (recognise the function of words and infer the relation between phrases). Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 4 / 14
5 External structure skos:broader, skos:narrower provide hierarchical organisation of terms. It is useful to preserve these hierarchies through matching. skos:related has a too weak semantics to be reliable as a structural constraint. It can be used for amplifying terms. skos:topconceptof skos:inscheme skos:hastopconcept provides a higher order structure which may be used for constraining extraction (all concepts of a scheme should be matched with concepts of the same scheme). These techniques can be used to help extracting alignments which do not contradict this structure. Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 5 / 14
6 Multilinguality Use the various languages for expanding bag-of-words (increases recall); or use them for matching within one language (increases precision); or use them for cross-language matching (increases recall). seal <--> seal phoque <-/-> sceau Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 6 / 14
7 Experiment plan Basic Aroma rules Linguistic rules grammar Multilingual multi Merge1 Merge2 Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 7 / 14
8 Basic matcher (basis 4.2) Nb corresp. Time Nb corresp. Time Eurovoc h34mn29s h13mn15s ETT h13mn13s Gemet h02mn13s EurLex h04mn42s (common commercial policy) <-1.-> C2450 (common commercial policy) 4501(iron industry) <-0.-> C3820 (metallurgical industry) (court) <-0.-> C5691 (courts and tribunals) Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 8 / 14
9 Aroma (basis 4.3) Nb corresp. Nb corresp. (1.) Time Nb corresp. (.85) Eurovoc h19mn8s 6750 ETT h9mn38s 1294 Gemet EurLex (concentration) <-.94-> C69 (economic concentration) 4501(iron industry) <-.90-> C3820 (metallurgical industry) 11359(municipal engineering) <-.70-> C2391 (town-planning scheme) 13639(Beef/Rindfleisch) <-.62-> C4682 (Bovine/Rind) 5763(Nutrient/nutriment) <-.52-> C2735 (foodstuff/produit alimentaire) Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 9 / 14
10 Multilingual matcher (basis 4.2) Target Lang. Min corresp. Max corresp. Distinct Cons. 2 Cons. 3 EV (et) 6289(lv) ETT (et) 779(fr) Gemet 21 13(et) 1057(fr) EurLex 21 0(et) 71(fi) A technique that increases both precision and recall! (court) <-1.-> C5691 (courts and tribunals) 4541 (juridiction) <-1.-> C5691 (courts and tribunals) Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 10 / 14
11 Summary Thesaurus #Terms #Basic #Multi2 #AromaMulti2 #Aroma(.85) Eurovoc 4.3/ ETT Gemet Eurlex It is time to better evaluate... Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 11 / 14
12 Evaluation against references Thesaurus Basic Multi2 Aroma/.85 Aroma/1. AromaMulti Measure Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Eurovoc ETT Gemet Eurlex Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 12 / 14
13 Evaluation against references Thesaurus Basic Multi2 Aroma/.85 Aroma/1. AromaMulti Measure Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Eurovoc ETT Gemet Eurlex Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 12 / 14
14 Evaluation against references Thesaurus Basic Multi2 Aroma/.85 Aroma/1. AromaMulti Measure Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Eurovoc ETT Gemet Eurlex Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 12 / 14
15 Evaluation against references Thesaurus Basic Multi2 Aroma/.85 Aroma/1. AromaMulti Measure Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Eurovoc ETT Gemet Eurlex Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 12 / 14
16 Evaluation against references Thesaurus Basic Multi2 Aroma/.85 Aroma/1. AromaMulti Measure Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Prec. Rec. Eurovoc ETT Gemet Eurlex Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 12 / 14
17 Conclusion Ontology matching techniques could be used for thesaurus matching but they have to be adapted to this context. Preliminary results are encouraging but require serious evaluation. Perspectives: Context-based techniques (from multi-indexed corpus) A recent paper at the ontology matching workshop shows that composing may be helpful. Laurent Béguin & Jérôme Euzenat Improve access to EU content through thesaurus matching 13 / 14
18 Questions?
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