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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F06%3APU66904" target="_blank" >RIV/00216305:26230/06:PU66904 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14330/06:00015339

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

Current Semantic Web implementation efforts pose a number of challenges. One of the big ones among them is development and evolution<br>of specific resources-the ontologies-as a base for representation of the meaning of the web. This paper deals with theautomatic<br>acquisition of semantic relations from the text of scientific publications (journal articles, conference papers, project descriptions, etc.).<br>We also describe the process of building of corresponding ontological resources and their application for semi-automatic generation<br>of scientific portals. Extracted relations and ontologies are crucial for the structuring of the information at the portal pages, automatic<br>classification of the presented documents as well as for personalisation at the presentation level. Besides a general description of the<br>portal generating system, we give also a detailed overview of extraction of semantic relations in the form of a domain-specific ontology.<br>The overview consists of pre

Název v anglickém jazyce

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

Popis výsledku anglicky

Current Semantic Web implementation efforts pose a number of challenges. One of the big ones among them is development and evolution<br>of specific resources-the ontologies-as a base for representation of the meaning of the web. This paper deals with theautomatic<br>acquisition of semantic relations from the text of scientific publications (journal articles, conference papers, project descriptions, etc.).<br>We also describe the process of building of corresponding ontological resources and their application for semi-automatic generation<br>of scientific portals. Extracted relations and ontologies are crucial for the structuring of the information at the portal pages, automatic<br>classification of the presented documents as well as for personalisation at the presentation level. Besides a general description of the<br>portal generating system, we give also a detailed overview of extraction of semantic relations in the form of a domain-specific ontology.<br>The overview consists of pre

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

<a href="/cs/project/1ET100300419" target="_blank" >1ET100300419: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

ISBN

2-9517408-2-4

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1338-1343

Název nakladatele

European Language Resources Association

Místo vydání

Paris

Místo konání akce

Genoa

Datum konání akce

11. 7. 2006

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—