Interpretation of Semantically Tagged Data using Fuzzy Linguistic 2-Tuples

Mohammed-Amine Abchir, Isis Truck, Anna Pappa

2012

Abstract

We propose a natural language interface with interpretation of partially tagged semantically data in closed question/answering domain (geolocation) using fuzzy linguistic 2-tuples. The interface is a tool of configuration tasks such as alerts definition and modification, alerts messages, and other man-machine dialogue. The aim is to respond with precision to user's query, expressed in natural language, taking into account imprecision and vagueness. The combination of NLP techniques and fuzzy logic to interpret linguistic variables helps elicitation of business-level objectives avoiding useless and costly computation of middleware information. This paper introduces a methodology that deals with contextual fuzzy semantics in natural language interfaces.

Paper Citation

in Harvard Style

Abchir M., Truck I. and Pappa A. (2012). Interpretation of Semantically Tagged Data using Fuzzy Linguistic 2-Tuples.In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 429-432. DOI: 10.5220/0004158304290432

in Bibtex Style

@conference{fcta12,
author={Mohammed-Amine Abchir and Isis Truck and Anna Pappa},
title={Interpretation of Semantically Tagged Data using Fuzzy Linguistic 2-Tuples},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2012)},
year={2012},
pages={429-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004158304290432},
isbn={978-989-8565-33-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2012)
TI - Interpretation of Semantically Tagged Data using Fuzzy Linguistic 2-Tuples
SN - 978-989-8565-33-4
AU - Abchir M.
AU - Truck I.
AU - Pappa A.
PY - 2012
SP - 429
EP - 432
DO - 10.5220/0004158304290432