Detail publikačního výsledku

Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator

NOVÁČEK, V.; SMRŽ, P.; POMIKÁLEK, J.

Originální název

Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator

Anglický název

Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

semantic web, ontology, text mining, portal

Klíčová slova v angličtině

semantic web, ontology, text mining, portal

Autoři

NOVÁČEK, V.; SMRŽ, P.; POMIKÁLEK, J.

Vydáno

11.07.2006

Nakladatel

European Language Resources Association

Místo

Paris

ISBN

2-9517408-2-4

Kniha

Proceedings of the 5th International Conference on Language Resources and Evaluation

Strany od

1338

Strany do

1343

Strany počet

6

BibTex

@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"
}