subject predicate object context
38257 Creator 56412434212aaec1af1a675d5f017f1e
38257 Creator 84bddd3a4b315469c22c89b9958ac6b1
38257 Creator a057dc830901e1d749423ba53785e145
38257 Creator b718ee3619ebe0ed07678edb8b16f80f
38257 Creator ext-d053b46a000f6d33e28c08fc22b6cc84
38257 Creator ext-81701a5f57617ea246bc51edf19c81dc
38257 Creator ext-7862e7f7841c39bd196faed42267e50e
38257 Creator ext-a4860a01c52efeb59fd6b4ef28d4dcd8
38257 Creator ext-acc2d48a212c53f3f5d13b1241d0fa6c
38257 Date 2013-12
38257 Is Part Of repository
38257 abstract Query expansion is generally a useful technique in improving search performance. However, some expanded query terms obtained by traditional statistical methods (e.g., pseudo-relevance feedback) may not be relevant to the user's information need, while some relevant terms may not be contained in the feedback documents at all. Recent studies utilize external resources to detect terms that are related to the query, and then adopt these terms in query expansion. In this paper, we present a study in the use of Freebase, which is an open source general-purpose ontology, as a source for deriving expansion terms. FreeBase provides a graph-based model of human knowledge, from which a rich and multi-step structure of instances related to the query concept can be extracted, as a complement to the traditional statistical approaches to query expansion. We propose a novel method, based on the well-principled Dempster-Shafer's (D-S) evidence theory, to measure the certainty of expansion terms from the Freebase structure. The expanded query model is then combined with a state of the art statistical query expansion model - the Relevance Model (RM3). Experiments show that the proposed method achieves significant improvements over RM3.
38257 authorList authors
38257 presentedAt ext-3570ba1667971001e6afa930699747b4
38257 status peerReviewed
38257 uri http://data.open.ac.uk/oro/document/182400
38257 uri http://data.open.ac.uk/oro/document/182416
38257 uri http://data.open.ac.uk/oro/document/182417
38257 uri http://data.open.ac.uk/oro/document/182418
38257 uri http://data.open.ac.uk/oro/document/182419
38257 uri http://data.open.ac.uk/oro/document/182420
38257 uri http://data.open.ac.uk/oro/document/183311
38257 type AcademicArticle
38257 type Article
38257 label Pan, Dazhao; Zhang, Peng ; Li, Jingfei; Song, Dawei ; Wen, Jirong; Hou, Yuexian ; Hu, Bin; Jia, Yuan and De Roeck, Anne (2013). Using Dempster-Shafer’s evidence theory for query expansion based on freebase knowledge. In: Ninth Asia Information Retrieval Societies Conference, 9-11 Dec 2013, Singapore.
38257 label Pan, Dazhao; Zhang, Peng ; Li, Jingfei; Song, Dawei ; Wen, Jirong; Hou, Yuexian ; Hu, Bin; Jia, Yuan and De Roeck, Anne (2013). Using Dempster-Shafer’s evidence theory for query expansion based on freebase knowledge. In: Ninth Asia Information Retrieval Societies Conference, 9-11 Dec 2013, Singapore.
38257 Title Using Dempster-Shafer’s evidence theory for query expansion based on freebase knowledge
38257 in dataset oro