2003
Present-day Lexical Knowledge Bases - What They Are and What They Need
SMRŽ, Pavel a Anna SINOPALNIKOVAZákladní údaje
Originální název
Present-day Lexical Knowledge Bases - What They Are and What They Need
Autoři
SMRŽ, Pavel a Anna SINOPALNIKOVA
Vydání
Santiago de Cuba, Proceedings of the Eight International Symposium on Social Communication, od s. 100-105, 6 s. 2003
Nakladatel
Center of Applied Linguistics of the Santiago de Cuba's branch of the Ministry of Science, Technology and the Environment
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Kuba
Utajení
není předmětem státního či obchodního tajemství
Kód RIV
RIV/00216224:14330/03:00008676
Organizační jednotka
Fakulta informatiky
ISBN
959-7174-0
Klíčová slova anglicky
lexical databases
Štítky
Změněno: 1. 8. 2003 16:45, doc. RNDr. Pavel Smrž, Ph.D.
Anotace
V originále
The situation in modern linguistics creates the need for the fundamental research of links, correspondence, interoperability, and cooperation between ontologies and lexical knowledge bases. The paper makes the first step to building a new structure of multi-lingual lexical knowledge base, accompanied by an ontology. The motivation for the work lies in the field of question answering systems that are shown to need a semantic component allowing reaching beyond current simple answer extractions. We briefly categorize families of systems that are able to communicate in natural language and show what can the incorporation of lexical semantics mean in terms of human computer interaction naturalness. We also briefly survey previously suggested modifications and additions to existing lexical knowledge bases, especially to the WordNet database and its clones. The problems of a) hierarchical relations as key components of existing lexical knowledge bases and ontologies, b) flexible vs. fixed approaches to the hierarchy building, c) co-existence of dynamic and static issues in knowledge bases are discussed in detail. It is anticipated that our research will propose a broadly applicable conceptual structure of lexical knowledge bases that, accompanied by well-structured ontologies, will provide the optimal starting point for knowledge understanding and inference.
Návaznosti
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