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Journal article
Action-Centered Information Retrieval
Theory and practice of logic programming, v 20(2), pp 249-272
01 Mar 2020
Abstract
Information retrieval (IR) aims at retrieving documents that are most relevant to a query provided by a user. Traditional techniques rely mostly on syntactic methods. In some cases, however, links at a deeper semantic level must be considered. In this paper, we explore a type of IR task in which documents describe sequences of events, and queries are about the state of the world after such events. In this context, successfully matching documents and query requires considering the events' possibly implicit uncertain effects and side effects. We begin by analyzing the problem, then propose an action language-based formalization, and finally automate the corresponding IR task using answer set programming.
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Details
- Title
- Action-Centered Information Retrieval
- Creators
- Marcello Balduccini - Drexel UniversityEmily C. Leblanc - Drexel University
- Publication Details
- Theory and practice of logic programming, v 20(2), pp 249-272
- Publisher
- Cambridge Univ Press
- Number of pages
- 24
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000579274100004
- Scopus ID
- 2-s2.0-85071162895
- Other Identifier
- 991019318935404721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Logic