logging in or signing up Eurolan2003 Training Lenci sol task1 avsar Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 18 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: September 27, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Computational Lexicons and the Semantic WebTraining Session: Computational Lexicons and the Semantic Web Training Session Alessandro Lenci Università di Pisa – Department of Linguistics & Istituto di Linguistica Computazionale - CNRCase Studies: Case Studies Formalize in RDF the EuroWordNet Synsets and Top Ontology Writing semantic frames in RDF/S as basis for interlingua representationsEuroWordNetTop Ontology: EuroWordNet Top Ontology Top Concepts (TC) classify synsets the subset of 1024 Basic Concepts synsets TC are hierarchically ordered by means of a subsumption relation multiple inheritance between TC is not allowed BC can be cross-classified in terms of multiple TC “It is important to realize that the TC are more like semantic features than common conceptual classes” Vossen (2001)EuroWordNet: EuroWordNetEuroWordNetTop Ontology: EuroWordNet Top OntologyTask 1: Task 1 Formalize in RDF/S the EWN TC Creating RDF/S entries for the following synsets and link them to the relevant TC {fruit} #0001 TC: Comestible Function; ObjectForm; PartComposition; PlantLivingNaturalOrigin {cell} #0002 TC: PartComposition; LivingNaturalOrigin {car} #0003 TC: ArtifactOrigin; ObjectForm; VehicleFunctionLexical ObjectsTop Level: Lexical Objects Top Level mlm:Entry mlm:SynU mlm:SemU mlm:Synset mlm:LexObject rdfs:subClassOf rdfs:subClassOf rdfs:subClassOf mlm:hasSynU mlm:correspondsToSynset mlm:hasSemU rdfs:literal mlm:languageMLC in RDF/S features: MLC in RDF/S features mlm:LexObject mlm:Values mlm:feature mlm:SemValues mlm:SynValues rdfs:subClassOf mlm:semFeature rdfs:subClassOf mlm:synFeature rdfs:subPropertyOf features are properties of lexical objectsSynsets in RDF/S: Synsets in RDF/S mlm:Synset rdfs:literal mlm:word mlm:Synset mlm:synsetRelation mlm:Values rdfs:literal mlm:gloss mlm:feature cf. also http://www.semanticweb.org/library/wordnet/wordnet-20000620.rdfsEWN Top Ontology in RDF/S: EWN Top Ontology in RDF/S TC as semantic features mlm:SemValues mlm:Synset EwnTopOntology rdfs:subClassOf mlm:semFeature topOntology rdfs:subPropertyOf http://…/EWNFunction http://…/EWNVehicle rdf:type rdf:type isaTask 2: Task 2 Formalize in RDF/S the following type of semantic frame share semantic frames among entries in different languages Task 2semantic frames: Task 2 semantic frames PREDemploy#1 Arg#1<AGENT - HUMAN> Arg#2<PATIENT - HUMAN> SemU employer SemU employee SemU employment SemU to employ agent nominalization patient nominalization event nominalization master linkSemantic Frames in RDF/S: Semantic Frames in RDF/S mlm:SemanticFrame mlm:SemU mlm:SemArgument mlm:hasFrame mlm:argument rdfs:literal mlm:semRole mlm:SemValues mlm:semType rdfs:literal mlm:number You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Eurolan2003 Training Lenci sol task1 avsar Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 18 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: September 27, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Computational Lexicons and the Semantic WebTraining Session: Computational Lexicons and the Semantic Web Training Session Alessandro Lenci Università di Pisa – Department of Linguistics & Istituto di Linguistica Computazionale - CNRCase Studies: Case Studies Formalize in RDF the EuroWordNet Synsets and Top Ontology Writing semantic frames in RDF/S as basis for interlingua representationsEuroWordNetTop Ontology: EuroWordNet Top Ontology Top Concepts (TC) classify synsets the subset of 1024 Basic Concepts synsets TC are hierarchically ordered by means of a subsumption relation multiple inheritance between TC is not allowed BC can be cross-classified in terms of multiple TC “It is important to realize that the TC are more like semantic features than common conceptual classes” Vossen (2001)EuroWordNet: EuroWordNetEuroWordNetTop Ontology: EuroWordNet Top OntologyTask 1: Task 1 Formalize in RDF/S the EWN TC Creating RDF/S entries for the following synsets and link them to the relevant TC {fruit} #0001 TC: Comestible Function; ObjectForm; PartComposition; PlantLivingNaturalOrigin {cell} #0002 TC: PartComposition; LivingNaturalOrigin {car} #0003 TC: ArtifactOrigin; ObjectForm; VehicleFunctionLexical ObjectsTop Level: Lexical Objects Top Level mlm:Entry mlm:SynU mlm:SemU mlm:Synset mlm:LexObject rdfs:subClassOf rdfs:subClassOf rdfs:subClassOf mlm:hasSynU mlm:correspondsToSynset mlm:hasSemU rdfs:literal mlm:languageMLC in RDF/S features: MLC in RDF/S features mlm:LexObject mlm:Values mlm:feature mlm:SemValues mlm:SynValues rdfs:subClassOf mlm:semFeature rdfs:subClassOf mlm:synFeature rdfs:subPropertyOf features are properties of lexical objectsSynsets in RDF/S: Synsets in RDF/S mlm:Synset rdfs:literal mlm:word mlm:Synset mlm:synsetRelation mlm:Values rdfs:literal mlm:gloss mlm:feature cf. also http://www.semanticweb.org/library/wordnet/wordnet-20000620.rdfsEWN Top Ontology in RDF/S: EWN Top Ontology in RDF/S TC as semantic features mlm:SemValues mlm:Synset EwnTopOntology rdfs:subClassOf mlm:semFeature topOntology rdfs:subPropertyOf http://…/EWNFunction http://…/EWNVehicle rdf:type rdf:type isaTask 2: Task 2 Formalize in RDF/S the following type of semantic frame share semantic frames among entries in different languages Task 2semantic frames: Task 2 semantic frames PREDemploy#1 Arg#1<AGENT - HUMAN> Arg#2<PATIENT - HUMAN> SemU employer SemU employee SemU employment SemU to employ agent nominalization patient nominalization event nominalization master linkSemantic Frames in RDF/S: Semantic Frames in RDF/S mlm:SemanticFrame mlm:SemU mlm:SemArgument mlm:hasFrame mlm:argument rdfs:literal mlm:semRole mlm:SemValues mlm:semType rdfs:literal mlm:number