Semantic Search in Tabular Structures
Aleksander Pivk, Matjaž Gams, Mitja Luštrek · 2006
Keywords: tabular structures, ontology learning, semantic web, query answeringReceived: November 18, 2005The Semantic Web search aims to overcome the bottleneck of finding relevant information using formalknowledge models, e.g. ontologies. The focus of this paper is to extend a typical search engine withsemantic search over tabular structures. We categorize HTML documents into topics and genres. Using theTARTAR system, tabular structures in the documents are then automatically transformed into ontologiesand annotated to build a knowledge base. When posting queries, users receive responses not just as lists oflinks and description extracts, but also enhanced with replies in the form of detailed structured data.Povzetek: Razvili smo metode semanticnega spleta za iskanje informacij v tabelah.ˇ