Ontology Alignment Evaluation Initiative - OAEI-2009 Campaign

Very Large Crosslingual Resources

The prupose of this task is to match the Thesaurus of the Netherlands Institute for Sound and Vision (called GTAA, see below for more information) to two other resources: the English WordNet from Princeton University and DBpedia.

All three are broad in scope. WordNet is a generic English lexical database, DBPedia is a semantic web version of Wikipedia and GTAA contains all concepts needed to index Dutch broadcast television.

The purpose of this task is twofold. First, we want to map a thesaurus in a language different from English to widely used English resources: the GTAA is in Dutch, while WordNet is in English; DBPedia contains labels in both languages and can therefore be used as a mediator between the two. Second, we want to align resources that are large, rich in semantics but weak in formal structure, i.e. realistic on the Web. Mapping languages other than English to WordNet and Wikipedia can open up the archives indexed with the monolingual thesaurus to multilinguality, and enable non-native speakers to access their content.

We are aiming for SKOS relations: skos:exactMatch and skos:closeMatch

Go directly to: GTAA, WordNet, DBPedia, evaluation, schedule, contact

Data sets

GTAA

General Information

The GTAA thesaurus, a Dutch acronym for "Common Thesaurus [for] Audiovisual Archives", is used at the Netherlands Institute for Sound and Vision, the Dutch public audiovisual broadcast's archives, for indexing their documents. The thesaurus consists of 6 facets that concern the description of:

• the topic of a TV program: keywords are selected from the Subject facet
• the main people mentioned in a TV program: keywords are selected from the Person facet
• the main "Named Entities" mentioned in a TV program (Corporation names, music bands etc): keywords are selected from the Name facet
• the main locations mentioned in a TV program or the place where it has been created: keywords are selected from the Location facet
• the genre of a TV program: keywords are selected from the Genre facet
• the makers and presentators of a TV program: keywords are selected from the Makers facet

SKOS Representation

Examples of GTAA concepts

 <skos:Concept rdf:about="#Subject_alternatieveenergie">
	<skos:prefLabel>alternatieve energie</skos:prefLabel>
	<skos:inScheme rdf:resource="http://www.beeldengeluid.nl/Thesaurus/Subject"/>
	<skos:broader rdf:resource="#Subject_energie"/> 
	<skos:narrower rdf:resource="#Subject_biobrandstoffen"/> <skos:narrower rdf:resource="#Subject_windenergie"/> 
	<skos:narrower rdf:resource="#Subject_zonne-energie"/> 
	<skos:related rdf:resource="#Subject_alcohol"/> 
	<skos:related rdf:resource="#Subject_energiebeleid"/> 
	<skos:related rdf:resource="#Subject_energiebronnen"/> 
	<skos:related rdf:resource="#Subject_getijden"/> 
	<skos:related rdf:resource="#Subject_milieubeleid"/> 
	<skos:related rdf:resource="#Subject_waterkracht"/> 
	<skos:related rdf:resource="#Subject_waterstof"/>
	<skos:altLabel>getijdenenergie</skos:altLabel> 
</skos:Concept> 

 <skos:Concept rdf:about="#Person_BeatrixkoninginNederland">
	<skos:prefLabel>Beatrix (koningin Nederland)</skos:prefLabel> 
	<skos:inScheme rdf:resource="http://www.beeldengeluid.nl/Thesaurus/Person"/>
	<skos:related rdf:resource="#Person_BeatrixkroonprinsesNederland"/>
	<skos:scopeNote>va30-4-80</skos:scopeNote>
</skos:Concept> 

 <skos:Concept rdf:about="#Name_Abba">
	<skos:prefLabel>Abba</skos:prefLabel> 
	<skos:inScheme rdf:resource="http://www.beeldengeluid.nl/Thesaurus/Name"/>
	<skos:scopeNote>popgroep Zweden</skos:scopeNote>
</skos:Concept> 

 <skos:Concept rdf:about="#Location_Amsterdam">
	<skos:prefLabel>Amsterdam</skos:prefLabel> 
	<skos:inScheme rdf:resource="http://www.beeldengeluid.nl/Thesaurus/Location"/>
	<skos:scopeNote>Nederland</skos:scopeNote>
</skos:Concept> 

Obtaining the GTAA dataset

WordNet

General Information

WordNet is a lexical database of the English language. Its main building blocks are synsets: groups of words with a synonymous meaning. An example of a synset is {cliff, drop, drop-off}, described as "a steep high face of rock". In this task, the goal is to match synsets (not words). Four kinds of synsets are distinguished, containing nouns, verbs, adjectives or adverbs. In this task, we are only interested in noun-synsets. There are 7 types of relations between noun-synsets:

W3C has translated WordNet version 2.0 into RDF/OWL. The details of this translation are published in a working draft. The working draft contains a download section, from which the complete dataset can be downloaded. For convenience, the data is split up in different files, one for each relation. Participants of this OAEI task are free to use (or ignore) all files with all types of relations. Although the goal is to match noun-synsets, relationships between verbs, adverbs and adjectives may be used in the process.

We recommend to use at least the following: synsets, their labels (e.g the synonymous words cliff, drop, drop-off), their descriptive sentences called 'glosses' (e.g. "a steep high face of rock"), and the hyponym hierarchy between synsets, which is comparable to a subclass hierarchy. You would need to download four files:

The file WordNet Basic Schema contains the RDF-Schema of the dataset. This file states, for example, that a NounSynset is a subClassOf a Synset, that the property meronymOf is the inverse of holonymOf, etc.

The file Synsets contains the types of synsets (nounSynsets, verbSynsets, adjectiveSynsets or adverbSynsets), a label and an ID number. The latter is a link to the original princeton version of WordNet and can safely be ignored. Synsets have the form: http://www.w3.org/2006/03/wn/wn20/instances/synset-cliff-noun-1

 <wn20schema:NounSynset rdf:about="&wn20instances;synset-cliff-noun-1" rdfs:label="cliff">
	<wn20schema:synsetId>108670141</wn20schema:synsetId>
</wn20schema:NounSynset> 

 <rdf:Description rdf:about="&wn20instances;synset-cliff-noun-1">
	<wn20schema:senseLabel>cliff</wn20schema:senseLabel>
	<wn20schema:senseLabel>drop</wn20schema:senseLabel>
	<wn20schema:senseLabel>drop-off</wn20schema:senseLabel>
</rdf:Description> 

 DBPedia "thing" 
		-- rdfs:label -- "title of the wikipedia page" 
		-- rdfs:comment -- "abstract of the wikipedia page"