Ontology based information extraction from text

Vangelis Karkaletsis, Pavlina Fragkou, Georgios Petasis, Elias Iosif

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Information extraction systems employ ontologies as a means to describe formally the domain knowledge exploited by these systems for their operation. The aim of this survey is to study the contribution of ontologies to information extraction systems. We believe that this will help towards specifying a concrete methodology for ontology based information extraction exploiting all levels of ontological knowledge, from domain entities for named entity recognition, to the use of conceptual hierarchies for pattern generalization, to the use of properties and non-taxonomic relations for pattern acquisition, and finally to the use of the domain model itself for integrating extracted entities and instances of relations, as well as for discovering implicit information and detecting inconsistencies.

Original languageEnglish
Title of host publicationKnowledge-Driven Multimedia Information Extraction and Ontology Evolution
Subtitle of host publicationBridging the Semantic Gap
EditorsGeorgios Paliouras, Constantine Spyropoulos, George Tsatsaronis
Pages89-109
Number of pages21
DOIs
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6050
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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