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On the use of semantic knowledge bases for temporally-aware entity retrieval
Author(s) -
Krisztian Balog,
Kjetil Nørvåg
Publication year - 2012
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2390148.2390150
Subject(s) - computer science , information retrieval , component (thermodynamics) , scheme (mathematics) , classification scheme , human–computer information retrieval , search engine , mathematical analysis , physics , mathematics , thermodynamics
In this paper, we propose the development of entity retrieval models that are temporally-aware. Using a classification scheme of entity-oriented information needs proposed in prior work, we discuss how the addition of temporal expressions would affect retrieval results for each of these query types. We describe the design of a retrieval framework that is capable of catering for a range of these information needs and identify main challenges at the component level.

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