Title: A query language for WordNet-like lexical databases

Authors: Marek Kubis

Addresses: Department of Computer Linguistics and Artificial Intelligence, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, ul. Umultowska 87, 61-614 Poznań, Poland

Abstract: WordNet-like lexical databases are used in many natural language processing tasks, such as word sense disambiguation, information extraction and sentiment analysis. The paper discusses the problem of querying such databases. The types of queries specific to WordNet-like databases are analysed and previous approaches that were undertaken to query wordnets are discussed. A query language which incorporates data types and syntactic constructs based on concepts that form the core of a WordNet-like database (synsets, word senses, semantic relations, etc.) is proposed as a new solution to the problem of querying wordnets.

Keywords: WordNet; lexical databases; domain-specific languages; query languages; natural language processing; NLP; word sense disambiguation; information extraction; sentiment analysis; database querying.

DOI: 10.1504/IJIIDS.2016.075419

International Journal of Intelligent Information and Database Systems, 2016 Vol.9 No.2, pp.103 - 133

Accepted: 23 Jul 2015
Published online: 22 Mar 2016 *

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