Thesaurus is used in many Information Retrieval (IR) applications such as data integration, data warehousing, semantic query processing and schema matching. Schema matching or mapping is one of the most important basic steps in data integration. It is the process of identifying the semantic correspondence or equivalent between two or more schemas. Considering the fact of the existence of many t...

We first describe four varieties of thesaurus: (1) Roget-style, produced to help people find synonyms when they are writing; (2) WordNet and EuroWordNet; (3) thesauruses produced (manually) to support information retrieval systems; and (4) thesauruses produced automatically from corpora. We then contrast thesauruses and dictionaries, and present a small experiment in which we look at polysemy i...

Much attention has been given to the impact of informativeness and similarity measures on distributional thesauri. We investigate the effects of context filters on thesaurus quality and propose the use of cooccurrence frequency as a simple and inexpensive criterion. For evaluation, we measure thesaurus agreement with WordNet and performance in answering TOEFL-like questions. Results illustrate ...

Since thesaurus is used as a knowledge resource in many natural language processing systems, it is very useful and necessary for the high quality systems, especially for dealing with semantics. In this paper, we introduce a semi-automatic method for the construction of Korean noun semantic hierarchy by utilizing a monolingual MRD and an existing thesaurus.