OntoLife: an Ontology for Semantically Managing Personal Information

Kargioti, Eleni; Kontopoulos, Efstratios; Bassiliades, Nick

doi:10.1007/978-1-4419-0221-4_16

Cited by 3 publications

(1 citation statement)

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“…OntoLife ontology [20] is devoted to structuring, semantic annotation, analysis and searching unstructured information about persons. The backbone of OntoLife is the entity Person for modelling the Person's demographics, biological and legal descriptors, contact methods and online accounts as well as other CV-related information.…”

Section: Running Examplementioning

confidence: 99%

Developing SBVR Vocabularies and Business Rules from OWL2 Ontologies

Bernotaityte

Nemuraite

Butkienė

et al. 2013

Communications in Computer and Information Science

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Abstract. Semantics of Business Vocabulary and Business Rules (SBVR) is OMG adopted metamodel allowing defining noun concepts, verb concepts and business rules of a problem domain in structured natural language based on formal logics. SBVR business vocabulary and business rules are capable of representing ontologies. There are some research works devoted to transforming SBVR into Web Ontology Language OWL2. The reverse way of representing ontology concepts with SBVR structured language was not investigated though there are much more ontologies than SBVR vocabularies. Our research is concentrated on methodology for creating SBVR vocabularies and rules from OWL2 ontologies without a loss of the expressive power, characteristic for ontologies, as some ontology-specific concepts have no direct representation in SBVR. The particular attention is devoted to applying SBVR vocabulary in semantic search.

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Section: Running Examplementioning

confidence: 99%