Automatically maintained domain knowledge: Initial findings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5478 LNCS, Issue , 2009, Pages 739-743

  Lungley, Deirdre ^a   Kruschwitz, Udo ^a  

^a UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

Analysis; Domain modelling; Formal concept; Implicit relevance feedback; Information retrieval; Query refinement

Indexed keywords

ANALYSIS; DOMAIN MODELLING; FORMAL CONCEPT; IMPLICIT RELEVANCE FEEDBACK; QUERY REFINEMENT;

INFORMATION RETRIEVAL; INFORMATION SERVICES; INTRANETS;

FEEDBACK;

EID: 67650703177     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00958-7_77     Document Type: Conference Paper

References (12)

1. Bilenko, M., White, R.W.: Mining the Search Trails of Surfing Crowds: Identifying Relevant Websites From User Activity. In: Proceedings of the 17th International Conference on World Wide Web, pp. 51-60. ACM, New York (2008)
2. Carpineto, C., Romano, G.: Exploiting the Potential of Concept Lattices for Information Retrieval with CREDO. Journal of Universal Computer Science 10(8), 985-1013 (2004) (Pubitemid 41151532)
3. Jansen, B., Spink, A., Saracevic, T.: Real life, real users, and real needs: a study and analysis of user queries on the web. Information Processing and Management 36(2), 207-227 (2000) (Pubitemid 30550546)
4. Jardine, N., van Rijsbergen, C.J.: The use of hierarchic clustering in information retrieval. Information Storage and Retrieval 7, 217-240 (1971)
5. Kruschwitz, U.: An Adaptable Search System for Collections of Partially Structured Documents. IEEE Intelligent Systems 18(4), 44-52 (2003)
6. Lungley, D.: Automatically Adapting the Context of an Intranet Query. In: Proceedings of the 2nd BCS IRSG Symposium on Future Directions in Information Access, pp. 22-29 (2008)
7. Melucci, M., White, R.W.: Utilizing a geometry of context for enhanced implicit feedback. In: Proceedings of the Conference on Information and Knowledge Management, pp. 273-282. ACM, New York (2007)
8. Poblete, B., Baeza-Yates, R.: Query-Sets: Using Implicit Feedback and Query Patterns to Organize Web Documents. In: Proceedings of the 17th international conference on World Wide Web, pp. 41-50. ACM, New York (2008)
9. Radlinski, F., Joachims, T.: Query Chains: learning to rank from implicit feedback. In: Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, Chicago, Illinois, USA, pp. 239-248. ACM, New York (2005) (Pubitemid 43218285)
10. Rocchio, J.J.: The SMART Retrieval System: Experiments in Automatic Indexing. In: Relevance Feedback in Information Retrieval. Prentice Hall, Englewood Cliffs (1971)
11. Sanderson, M., Croft, B.: Deriving concept hierarchies from text. In: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 206-213. ACM, New York (1999)
12. Wang, X., Zhai, C.: Learn from Web Search Logs to Organize Search Results. In: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 87-94. ACM, New York (2007) (Pubitemid 350164948)