International Journal of Information Technology

, Volume 10, Issue 3, pp 303–311 | Cite as

MwTExt: automatic extraction of multi-word terms to generate compound concepts within ontology

Original Research
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Abstract

Multiword expressions are omnipresent element of natural language, whose construal as a linguistic resource has significant importance in various applications. This paper presents an architecture-MwTExt, for automatic extraction of multi-word terms-MWTs from such expressions within un-annotated English documents. Natural Language Processing techniques such as Shallow parsing and syntactic structure analysis are used to extract MWTs, with specific focus on lexical patterns as (Noun Preposition Noun), (Noun Preposition Noun + Noun) and (Noun Preposition Noun Preposition Noun). The MWTs extracted can be further used to form compound concepts within Ontology. The lexical descriptions of MWTs are encoded in Web Ontology Language OWL/XML. MwTExt has been tested on Computer Science domain texts, and the results obtained are compared with those obtained by Text2Onto, an Ontology learning tool and term extractors such as TermRaider and TerMine. The result signifies that MwTExt performs better for extraction of accurate lexicalized MWTs with average precision of 97%.

Keywords

Multi-word terms Compound concepts Lexical pattern Ontology 

Abbreviations

MWTs

Multi-word terms

MWEs

Multi-word expressions

MwTExt

Multi-word terms extraction

NLP

Natural language processing

OWL

Web ontology language

XML

eXtensible markup language

References

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Copyright information

© Bharati Vidyapeeth's Institute of Computer Applications and Management 2018

Authors and Affiliations

  1. 1.School of Computer StudiesAhmedabad UniversityAhmedabadIndia
  2. 2.Department of Computer ScienceGujarat UniversityAhmedabadIndia

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