OPPCAT: Ontology population from tabular data

dc.contributor.authorOzturk, O
dc.date.accessioned2024-07-18T11:46:19Z
dc.date.available2024-07-18T11:46:19Z
dc.description.abstractIn order to present large amount of information on the Web to both users and machines, it is urgently needed to structure Web data. E-commerce is one of the areas where increasing data bottlenecks on the Web inhibit data access. Ontological display of the product information enables better product comparison and search applications using the semantics of the product specifications and their corresponding values. In this article, we present a framework called OPPCAT, which is used for semi-automatic ontology population from tabular data in e-commerce stores and product catalogues. As a result, OPPCAT allows tabular data to be used for mass production of ontology content. First, we present the common patterns in tabular data which obstruct semi-automatic production of ontologies. Then, we suggest solutions which automatically fix these errors. Finally, we define an algorithm to build ontology content semi-automatically.
dc.identifier.issn0165-5515
dc.identifier.other1741-6485
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/2637
dc.language.isoEnglish
dc.publisherSAGE PUBLICATIONS LTD
dc.subjectPRODUCT FEATURES
dc.titleOPPCAT: Ontology population from tabular data
dc.typeArticle

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