Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) · 2008 · 11 citations · 8 references
Open access
ComputingComputer ScienceInformation TechnologyInformation RetrievalKnowledge RepresentationNatural Language ProcessingConcept ExtractionInformation ExtractionKnowledge AnnotationKnowledge ExtractionNamed Entity RecognitionOntology EngineeringAutomatic RecognitionIdentityRdf ModelingSemantic WebSemantic Web Mining
Abstract. The OKKAM initiative 1 has recently highlighted the need of moving from the traditional web towards a “web of entities”, where real-world objects descriptions could be retrieved, univocally identified, and shared over the web. In this paper, we propose our vision of the entity recognition problem and, in particular, we propose methods and techniques to capture the “identity ” of a real entity in the Semantic Web. We claim that automatic techniques are needed to compare different RDF descriptions of a domain with the goal of automatically detect heterogeneous descriptions of the same real-world objects. Problems and techniques to solve them are discussed together with some experimental results on a real case study on web data. 1
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