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Authors: Imre Kilián and Gábor Alberti

Affiliation: University of Pécs, Hungary

ISBN: 978-989-8565-68-6

Keyword(s): Representational Dynamic Discourse Semantics, Information State, Modal Logic.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Business Intelligence ; Cross-Feeding between Data and Software Engineering ; Enterprise Software Technologies ; Intelligent Problem Solving ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Model-Driven Engineering ; Software Engineering ; Software Engineering Methods and Techniques ; Symbolic Systems

Abstract: The architecture we are developing can serve many ends: it can be used, for instance, as an intelligent personal diary for private purposes, or even as a dynamic “epistemic” protocol for legal cases or criminal investigations. Two of its special features make our architecture capable of performing these tasks. One of them is a DRT-based (Kamp et al., 2011) formal cognitive theory called eALIS (Alberti, 2009; Alberti and Kleiber, 2012; Alberti and Károly, 2012), which is responsible for the particular structure of our databases; the other one is a Prolog-based logical framework, which is responsible for populating the database and for logically “closing” its appropriate substructures. The major contribution of eALIS to this project is a traditional relational model (w0) of the relevant segment of the external world coupled up with an unlimited set (W={w1,w2,…}) of “wordlets”, each of which is an appropriately modified and highly partial copy of w0, capable of registering the beliefs, desires and intentions of a group of people, as concerns the facts of w0 at selected points of time (T), as well as one another’s beliefs and other wordlets of WT. The Prolog inference system operates on a partially ordered structure with which we furnish WT, in order to answer users’ yes/no questions and to provide entities of wordlets as answers to wh-questions. (More)

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Paper citation in several formats:
Kilián, I. and Alberti, G. (2013). A Metamodel-driven Architecture for Generating, Populating and Manipulating “Possible Worlds” to Answer Questions.In Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013) ISBN 978-989-8565-68-6, pages 74-78. DOI: 10.5220/0004596000740078

@conference{icsoft-ea13,
author={Imre Kilián. and Gábor Alberti.},
title={A Metamodel-driven Architecture for Generating, Populating and Manipulating “Possible Worlds” to Answer Questions},
booktitle={Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)},
year={2013},
pages={74-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004596000740078},
isbn={978-989-8565-68-6},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)
TI - A Metamodel-driven Architecture for Generating, Populating and Manipulating “Possible Worlds” to Answer Questions
SN - 978-989-8565-68-6
AU - Kilián, I.
AU - Alberti, G.
PY - 2013
SP - 74
EP - 78
DO - 10.5220/0004596000740078

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