The effect of task type on preferred element types in an XML-based retrieval system

Journal of the American Society for Information Science and Technology

Volumn 62, Issue 9, 2011, Pages 1717-1726

  Pharo, Nils ^a   Krahn, Astrid ^a  

^a OSLO METROPOLITAN UNIVERSITY   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ELEMENT TYPE; FACT-FINDING; INFORMATION GATHERING; INFORMATION SEARCH; RETRIEVAL SYSTEMS; SINGLE ELEMENT; TASK TYPE; WIKIPEDIA;

XML;

INFORMATION RETRIEVAL;

EID: 80051665154     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21587     Document Type: Article

References (25)

1. Balatsoukas, P., &, Demian, P., (2010). Effects of granularity of search results on the relevance judgement behaviour of engineers: Building systems for retrieval and understanding of context. Journal of the American Society for Information Science and Technology, 61 (3), 453-467.
2. Belkin, N.J., Marchetti, P.G., &, Cool, C., (1993). BRAQUE: Design of an interface to support user interaction in information retrieval. Information Processing & Management, 29 (3), 325-344.
3. Borlund, P., (2003). The IIR evaluation model: A framework for evaluation of interactive information retrieval systems. Information Research, 8 (3). Retrieved from
4. Byström, K., &, Hansen, P., (2005). Conceptual framework for tasks in information studies. Journal of the American Society for Information Science, 56 (10), 1050-1061. (Pubitemid 41205798)
5. Byström, K., &, Järvelin, K., (1995). Task complexity affects information seeking and use. Information Processing & Management, 31 (2), 191-213.
6. Cool, C., &, Belkin, N.J., (2002). A classification of interactions with information. In Emerging Frameworks and Methods: CoLIS 4 (pp. 1-15). Greenwood Village, CO: Libraries Unlimited.
7. Denoyer, L., &, Gallinari, P., (2007). The Wikipedia XML corpus. Lecture Notes in Computer Science, 4518, 12-19.
8. Hammer-Aebi, B., Christensen, K.W., Lund, H., &, Larsen, B., (2006). Users, structured documents and overlap: Interactive searching of elements and the influence of context on search behaviour. In Proceedings of the First International Conference on Information Interaction in Context 2006 (pp. 46-55). New York: ACM Press. (Pubitemid 47142377)
9. Järvelin, K., &, Kekäläinen, J., (2000). IR evaluation methods for retrieving highly relevant documents. In, N. Belkin, P. Ingwersen, &, M.-K. Leong, (Eds.), Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 41-48). New York: ACM Press.
10. Kamps, J., &, Koolen, M., (2007). On the relation between relevant passages and XML document structure. In, A. Trotman, G. Shlomo, &, J. Kamps, (Eds.), Proceedings of the SIGIR 2007 Workshop on Focused Retrieval (pp. 28-32). New York: ACM Press.
11. Kamps, J., &, Larsen, B., (2006). Understanding differences between search requests in XML element retrieval. In, A. Trotman, &, G. Shlomo, (Eds.), Proceedings of the SIGIR 2006 Workshop on XML Element Retrieval Methodology (pp. 13-19). New York: ACM Press.
12. Kim, H., &, Son, H., (2006). Users interaction with the hierarchically structured presentation in XML document retrieval. Lecture Notes in Computer Science, 3977, 422-431. (Pubitemid 44071879)
13. Kim, J., (2009). Describing and predicting information-seeking behavior on the web. Journal of the American Society for Information Science and Technology, 60 (4), 679-693.
14. Larsen, B., Malik, S., &, Tombros, A., (2008). A comparison of interactive and ad-hoc relevance assessments. Lecture Notes in Computer Science, 4862, 348-358.
15. Larsen, B., Tombros, A., &, Malik, S., (2006). Is XML retrieval meaningful to users?: Searcher preferences for full documents vs. elements. In, E. Efthimiadis, D. Hawking, &, K. Järvelin, (Eds.), Proceedings of the 29th Annual International ACM SIGIR conference on Research and Development in Information Retrieval. (pp. 663-664). New York: ACM Press.
16. Luk, R.W.P., Leong, H.V., Dillon, T.S., Chan, A.T.S., Croft, W.B., &, Allan, J., (2002). A survey in indexing and searching XML documents. Journal of the American Society for Information Science and Technology, 53 (6), 415-437. (Pubitemid 34300498)
17. Malik, S., Tombros, A., &, Larsen, B., (2007). The Interactive Track at INEX 2006. Lecture Notes in Computer Science, 4518, 387-399.
18. Pechevski, J., (2006). Relevance in XML retrieval: The user perspective. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 35-42). New York: ACM Press.
19. Pharo, N., (2004). A new model of information behaviour based on the search situation transition schema. Information Research, 10 (1). Retrieved from
20. Pharo, N., (2008). The effect of granularity and order in XML element retrieval. Information Processing & Management, 44 (5), 1732-1740.
21. Pharo, N., &, Nordlie, R., (2005). Context matters: An analysis of assessments of XML documents. Lecture Notes in Computer Science, 3507, 238-248. (Pubitemid 41322338)
22. Ramírez, G., &, de Vries, A., (2006). Relevant contextual features in XML retrieval. In, I. Ruthven, et al. (Eds.), Information interaction in context: International symposium on information interaction in context IIIX 2006 Copenhagen (pp. 56-65). Copenhagen: Royal School of Library and Information Science. (Pubitemid 47142378)
23. Spink, A., Greisdorf, H., &, Bateman, J., (1998). From highly relevant to not relevant: Examining different regions of relevance. Information Processing & Management, 34 (5), 599-621. (Pubitemid 128410409)
24. Toms, E. G., O'Brien, H., Mackenzie, T., Jordan, C., Freund, L., Toze, S., , Mac Nutt, A., (2007). Task effects on interactive search: The query factor. Lecture Notes in Computer Science, 4862, 359-372.
25. Voorhes, E.M., (2001). Evaluation by highly relevant documents. In, D.H. Kraft, W.B. Croft, D.J. Harper, &, J. Zobel, (Eds.), Proceedings of the 24th Annual International Conference on Research and Development in Information Retrieval of the Special Interest Group on Information Retrieval, Association for Computing Machinery (SIGIR '01) (pp. 74-82). New York: ACM Press.