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Second International Workshop on New Generation Enterprise and Business Innovation NGEBIS 2013

Second International Workshop on New Generation Enterprise and Business Innovation NGEBIS 2013. Linked Data Based Approach to Similarity Reasoning Anna Formica, Michele Missikoff , Elaheh Pourabbas , Francesco Taglino CNR-IASI, Italy. Outline. Motivations & Objectives

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Second International Workshop on New Generation Enterprise and Business Innovation NGEBIS 2013

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  1. Second International Workshop on New Generation Enterprise and Business InnovationNGEBIS 2013 Linked Data Based Approach to Similarity Reasoning Anna Formica, Michele Missikoff, ElahehPourabbas, Francesco Taglino CNR-IASI, Italy

  2. Outline • Motivations & Objectives • Ourproposal • Linked Data principles • SemSim in a nutshell and namespace • Conclusions

  3. Motivations and Objectives • Knowledge as a key fertilizer to allow an innovative idea to grow into a concrete value proposition for enterprises • To overcome the difficulty in finding the knowledge that appears relevant to the proposed innovative idea • To concretely extract and use the identified knowledge resources, despite of the different formats and applications used to generate them.

  4. OurProposal • SemSim: a Semantic Similarity reasoning method to retrieve semantically annotated knowledge resources • Representation of the SemSim notions according to the Linked Data principles to enhance • interoperability • Semantic Web standards engagement • Reuse of existing resources

  5. Linked Data and … A set ofprinciplestoallow • Standard descriptionof data (RDF-based) • Stardard way ofaccessing data (HTTP) • Linkingresources/data amongthem • Goingbeyondbypublishingservices in a Linked Data fashion

  6. SemSim in a nutshell • Weighted Reference Taxonomy (WRT) • concepts reports the probability to describe a resource • Ontology Feature Vectors (OFV) to express • Semantic annotation of digital resources • User requests • Semantic Similarity (semsim function) • Based on similarity between concepts: consim • Results as a ranked list of resources according to their similarity wrt the request

  7. WRT and OFVs OFV forannotatingresources dr1 = (InternationalHotel, FrenchMeal, Cinema, Flight) • dr2 = (Pension, VegetarianMeal, ArtGallery, ShoppingCenter) • dr3 = (CountryResort, MediterraneaMeal, Bus) • … • dr7 = (RegularAccommodation, RegularMeal, Salon, Flight) • … • dr15 =(InternationalHotel, PictureGallery, Flight) • …. OFV forrepresenting a UserRequest rv = (InternationalHotel, InternationalMeal, ArtGallery, Flight)

  8. Graph-basedrepresentationof the SemSimnotions

  9. SemSim in RDF syntax • SKOS torepresent the Taxonomy • semsimnamespacedefining the SemSimvocabulary

  10. SemSimnamespace OFV rdf:typeowl:Class. AnnotVrdf:typeowl:Class; rdfs:subClassOf OFV. RV rdf:typeowl:Class; rdfs:subClassOf OFV. RSV rdf:typeowl:Class. hasWeightrdf:typeowl:DatatypeProperty; rdfs:domainskos:Concept; rdfs:rangexsd:float. hasConceptrdf:typeowl:ObjectProperty; rdfs:domain OFV; rdfs:rangeskos:Concept. refersTordf:typeowl:ObjectProperty; rdfs:domainAnnotV. hasScorerdf:typeowl:DatatypeProperty; rdfs:domainRSVElem; rdfs:rangexsd:float hasAnnotVrdf:typeowl:ObjectProperty; rdfs:domainRSVElem; rdfs:rangeAnnotV. hasRSVElemrdf:typeowl:ObjectProperty; rdfs:domain RSV; rdfs:rangeRSVElem.

  11. Conclusions and Outlook • Representing SemSim notions in a RDF syntax to publish SemSim service in a Linked Data • From Linked Data to Linked Services

  12. Questions&Answers

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