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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom