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Aktuelle Version vom 27. November 2015, 21:42 Uhr
Transforming Arbitrary Tables into F-Logic Frames with TARTAR
Transforming Arbitrary Tables into F-Logic Frames with TARTAR
Veröffentlicht: 2007
Journal: Data & Knowledge Engineering (DKE)
Nummer: 3
Seiten: 567-595
Verlag: Elsevier
Volume: 60
Referierte Veröffentlichung
Kurzfassung
The tremendous success of the World Wide Web is countervailed by
efforts needed to search and find relevant information. For
tabular structures embedded in HTML documents typical keyword or
link-analysis based search fails. The Semantic Web relies on
annotating resources such as documents by means of ontologies and
aims to overcome the bottleneck of finding relevant information.
Turning the current Web into a Semantic Web requires automatic
approaches for annotation since manual approaches will not scale
in general. Most efforts have been devoted to automatic generation
of ontologies from text, but with quite limited success. However,
tabular structures require additional efforts, mainly because
understanding of table contents requires a table structures
comprehension task and a semantic interpretation task, which
exceeds in complexity the linguistic task. The focus of this paper
is on automatic transformation and generation of semantic
(F-Logic) frames from table-like structures. The presented work
consists of a methodology, an accompanying implementation (called
TARTAR) and a thorough evaluation. It is based on a grounded
cognitive table model which is stepwise instantiated by the
methodology. A typical application scenario is the automatic
population of ontologies to enable query answering over arbitrary
tables (e.g. HTML tables).
ISSN: 0169-023X
VG Wort-Seiten: 44
Weitere Informationen unter: Link
Web Science und Wissensmanagement
Semantische Annotation, Semantische Annotierung, Informationsextraktion, Ontology Learning, Semantic Web, Web Science