Library and Information Service >
Research of Linked Data-driven Query Expansion
Received date: 2014-11-03
Revised date: 2015-01-15
Online published: 2015-02-20
[Purpose/significance] The current query expansion faced technology bottleneck,this paper presented a linked data-driven query expansion to improve retrieval system's recall precision.[Method/process] Applied the spreading activation model to the linked data graph. When input query words and searched for potential semantic meaning of query terms, there was a specific feature extraction mechanism of diffusion and activation in the knowledge base. Finally the candidate concepts for these semantic association were collected.[Result/conclusion] This method can improve retrieval system's recall precision. The technical feasibility and effectiveness was demonstrated.
Key words： query expansion; linked data; spreading activation model; Dbpedia; WordNet
Tian Ye , Yang Mei , Zhu Zhongming , Zhang Jingbei . Research of Linked Data-driven Query Expansion[J]. Library and Information Service, 2015 , 59(4) : 122 -128 . DOI: 10.13266/j.issn.0252-3116.2015.04.018
[1] Robertson S E, Jones K S. Relevance weighting of search terms[J]. Journal of the American Society for Information science, 1976, 27(3): 129-146.
[2] Aggarwal N,Buitelaar P.Query expansion using Wikipedia and DBpedia[C]//CLEF 2012 Evaluation Labs and Workshop.Rome:springer,2012:174-183.
[3] Augenstein I,Gentile A L,Norton B,et al.Mapping keywords to linked data resources for automatic query expansion[M].Springer: Berlin Heidelberg,2013:101-112.
[4] 王魁,王安胜.认知心理学[M].1992.北京:北京大学出版社, 1992年.
[5] Crestani F.Application of spreading activation techniques in information retrieval[J].Artificial Intelligence Review,1997,11(6):453-482.
[6] Ziegler C N,Lausen G.Spreading activation models for trust propagation[C]//Proceedings of the 2004 IEEE International Conference .Taipei:IEEE,2004: 83-97.
[7] Alani H, O'Hara K,Shadbolt N.Ontocopi: Methods and tools for identifying communities of practice[C]//Proceedings of the IFIP 17thWorld Computer Congress-TC12 Stream on Intelligent Information Processing.Montréal:springer,2002:225-236.
[8] Rocha C,Schwabe D,Aragao M P.A hybrid approach for searching in the semantic Web[C]//Proceedings of the 13th International Conference on World Wide Web.Rio de Janeiro:ACM,2004:374-383.
[9] 潘建国.基于语义的用户建模技术与应用研究[D].上海:上海大学, 2009.
[10] Fernandez-Amoros D,Gil R H, Somolinos J A C,et al.Automatic word sense disambiguation using cooccurrence and hierarchical information[M].Berlin:Springer,2010:60-67.
[11] Miller G A. WordNet: A lexical database for English[J].Communications of the ACM, 1995,38(11): 39-41.
[12] WordNet domains [EB/OL].[2014-12-20].http://wndomains.itc.it/.
[13] Nickel M,Tresp V,Kriegel H P. Factorizing YAGO:Scalable machine learning for linked data[C]//Proceedings of the 21st International conference on World Wide Web.Lyon:ACM,2012: 271-280.
/
| 〈 |
|
〉 |
