1. 12/03/2013 1 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

2. 12/03/2013 2 Outline Motivations & Objectives Our proposal Linked Data principles SemSim in a nutshell and namespace Conclusions

3. 12/03/2013 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. 12/03/2013 4 Our Proposal 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. 12/03/2013 5 Linked Data and … A set of principles to allow Standard description of data (RDF-based) Stardard way of accessing data (HTTP) Linking resources/data among them Going beyond by publishing services in a Linked Data fashion

6. 12/03/2013 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. 12/03/2013 7 WRT and OFVs dr1 = (InternationalHotel, FrenchMeal, Cinema, Flight) dr2 = (Pension, VegetarianMeal, ArtGallery, ShoppingCenter) dr3 = (CountryResort, MediterraneaMeal, Bus) … dr7 = (RegularAccommodation, RegularMeal, Salon, Flight) … dr15 =(InternationalHotel, PictureGallery, Flight) …. rv = (InternationalHotel, InternationalMeal, ArtGallery, Flight) OFV for annotating resources OFV for representing a User Request

8. 12/03/2013 8 Graph-based representation of the SemSim notions

9. 12/03/2013 9 SemSim in RDF syntax SKOS to represent the Taxonomy semsim namespace defining the SemSim vocabulary

10. 12/03/2013 10 SemSim namespace OFV rdf:typeowl:Class. AnnotV rdf:typeowl:Class; rdfs:subClassOfOFV. RV rdf:typeowl:Class; rdfs:subClassOfOFV. RSV rdf:typeowl:Class. hasWeight rdf:typeowl:DatatypeProperty; rdfs:domainskos:Concept; rdfs:rangexsd:float. hasConcept rdf:typeowl:ObjectProperty; rdfs:domainOFV; rdfs:rangeskos:Concept. refersTo rdf:typeowl:ObjectProperty; rdfs:domainAnnotV. hasScore rdf:typeowl:DatatypeProperty; rdfs:domainRSVElem; rdfs:rangexsd:float hasAnnotV rdf:typeowl:ObjectProperty; rdfs:domainRSVElem; rdfs:rangeAnnotV. hasRSVElem rdf:typeowl:ObjectProperty; rdfs:domainRSV; rdfs:rangeRSVElem.

11. 12/03/2013 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. 12/03/2013 12 Questions & Answers