Detail výsledku
Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator
Current Semantic Web implementation efforts pose a number of challenges. One of the big ones among them is development and evolution
of specific resources-the ontologies-as a base for representation of the meaning of the web. This paper deals with the automatic
acquisition of semantic relations from the text of scientific publications (journal articles, conference papers, project descriptions, etc.).
We also describe the process of building of corresponding ontological resources and their application for semi-automatic generation
of scientific portals. Extracted relations and ontologies are crucial for the structuring of the information at the portal pages, automatic
classification of the presented documents as well as for personalisation at the presentation level. Besides a general description of the
portal generating system, we give also a detailed overview of extraction of semantic relations in the form of a domain-specific ontology.
The overview consists of presentation of an architecture of the ontology extraction system, description of methods used for mining of
semantic relations and analysis of selected results and examples.
semantic web, ontology, text mining, portal
@inproceedings{BUT22213,
author="Vít {Nováček} and Pavel {Smrž} and Jan {Pomikálek}",
title="Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator",
booktitle="Proceedings of the 5th International Conference on Language Resources and Evaluation",
year="2006",
pages="1338--1343",
publisher="European Language Resources Association",
address="Paris",
isbn="2-9517408-2-4"
}