ONTOGRABBING: Extracting Information from Texts Using Generative Ontologies

Publication: Research - peer-reviewBook chapter – Annual report year: 2009

NullPointerException

View graph of relations

We describe principles for extracting information from texts using a so-called generative ontology in combination with syntactic analysis. Generative ontologies are introduced as semantic domains for natural language phrases. Generative ontologies extend ordinary finite ontologies with rules for producing recursively shaped terms representing the ontological content (ontological semantics) of NL noun phrases and other phrases. We focus here on achieving a robust, often only partial, ontology-driven parsing of and ascription of semantics to a sentence in the text corpus. The aim of the ontological analysis is primarily to identify paraphrases, thereby achieving a search functionality beyond mere keyword search with synsets. We further envisage use of the generative ontology as a phrase-based rather than word-based browser into text corpora.
Original languageEnglish
TitleFlexible Query Answering Systems: 8th International Conference, Fqas 2009
Place of publicationBerlin
PublisherSpringer
Publication date2009
StatePublished
NameLecture Notes in Artificial Intelligence
Number5822
ISSN (Print)0302-9743

Keywords

  • ontological semantics, generative ontologies, Ontology-based text analysis and search
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 5162713