DocumentCode :
2253847
Title :
Automatic extraction of spatial relations
Author :
Reinbergerr, Marie-Laure
Author_Institution :
Antwerp Univ., Wilrijk
fYear :
2005
fDate :
5-8 Dec. 2005
Firstpage :
331
Lastpage :
337
Abstract :
We present a method to extract semantic relations from text corpora in an unsupervised way and use the output as preprocessed material for the building of a virtual environment. The experiments have been carried out in the context of the Flemish OntoBasis project. We have used two small corpora. The first one has been gathered from the Internet and is describing the megalithic ruin of Stonehenge. The other one, considered as a test case, is composed in order to describe the appearance and content of a shop. Using a shallow parser, we select functional relations, such as the syntactic structure subject-verb-object, from which we extract spatial information, in an unsupervised way on the Stonehenge corpus, and using domain knowledge for the shop corpus. We then compare and discuss the results, considering the differences between both corpora and to what extent the size of the corpus and the presence of domain knowledge influence the results. The adequacy of the relations extracted has been evaluated manually
Keywords :
data mining; learning (artificial intelligence); ontologies (artificial intelligence); text analysis; Flemish OntoBasis project; automatic spatial relation extraction; functional relations; semantic relation extraction; unsupervised text mining; virtual environment; Books; Data mining; Internet; Machine learning; Object detection; Ontologies; Robustness; Testing; Text mining; Virtual environment; Ontology; Semantic Relation Extraction; Unsupervised Text Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial intelligence, 2005. epia 2005. portuguese conference on
Conference_Location :
Covilha
Print_ISBN :
0-7803-9366-X
Electronic_ISBN :
0-7803-9366-X
Type :
conf
DOI :
10.1109/EPIA.2005.341305
Filename :
4145983
Link To Document :
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