Accommodating Negation in an Efficient Event-based Natural Language Query Interface to the Semantic Web
Shane Peelar, Richard Frost
2020
Abstract
Although The Semantic Web was built with the Open World Assumption in mind, there are many cases where the Closed World Assumption would be a better fit. This is unfortunate because the OWA prevents rich queries involving negation from taking place, even in contexts where it would be appropriate. In this paper we present an English Natural Language Query Interface to event-based triplestores based on Compositional Semantics that can support both open and closed world semantics with “drop-in” denotations for “no”, “not”, “non”, and “the least”. Where closed world semantics are not appropriate, omitting these denotations is sufficient to restore the OWA. The result is a highly expressive compositional semantics supporting complex linguistic constructs such as chained prepositional phrases, n-ary transitive verbs, superlative phrases, and negation, suitable for expert systems and knowledge bases.
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in Harvard Style
Peelar S. and Frost R. (2020). Accommodating Negation in an Efficient Event-based Natural Language Query Interface to the Semantic Web.In Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-478-7, pages 83-92. DOI: 10.5220/0010148500830092
in Bibtex Style
@conference{webist20,
author={Shane Peelar and Richard Frost},
title={Accommodating Negation in an Efficient Event-based Natural Language Query Interface to the Semantic Web},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2020},
pages={83-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010148500830092},
isbn={978-989-758-478-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Accommodating Negation in an Efficient Event-based Natural Language Query Interface to the Semantic Web
SN - 978-989-758-478-7
AU - Peelar S.
AU - Frost R.
PY - 2020
SP - 83
EP - 92
DO - 10.5220/0010148500830092