6533b81ffe1ef96bd1277c65

RESEARCH PRODUCT

An Innovative Statistical Tool for Automatic OWL-ERD Alignment

Roberto PirroneFrancesca AnastasioArianna Pipitone

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalRelation (database)computer.internet_protocolComputer scienceSemantic Web Rule LanguageComputer Science::Information Retrieval010401 analytical chemistry020206 networking & telecommunications02 engineering and technologyOntology (information science)SemanticsSemantic data model01 natural sciencesOWL-S0104 chemical sciences0202 electrical engineering electronic engineering information engineeringHidden Markov models Knowledge representation languages Ontologies (artificial intelligence) Semantic Web Databases OWL ERDSemantic WebcomputerSentence

description

Aligning two representations of the same domain with different expressiveness is a crucial topic in nowadays semantic web and big data research. OWL ontologies and Entity Relation Diagrams are the most widespread representations whose alignment allows for semantic data access via ontology interface, and ontology storing techniques. The term ""alignment" encompasses three different processes: OWL-to-ERD and ERD-to-OWL transformation, and OWL-ERD mapping. In this paper an innovative statistical tool is presented to accomplish all the three aspects of the alignment. The main idea relies on the use of a HMM to estimate the most likely ERD sentence that is stated in a suitable grammar, and corresponds to the observed OWL axiom. The system and its theoretical background are presented, and some experiments are reported.

yearjournalcountryeditionlanguage
2016-02-012016 IEEE Tenth International Conference on Semantic Computing (ICSC)
https://doi.org/10.1109/icsc.2016.22