Browse

A novel metadata based meta-search engine. (2008)
Conference Proceeding
ZHU, J., SONG, D., EISENSTADT, M. and BARLADEANU, C. 2008. A novel metadata based meta-search engine. In Cordeiro, J., Shishkov, B., Ranchordas, A. and Helfert, M. (eds.) Proceedings of the 3rd International conference on software and data technologies (ICSOFT 2008), 5-8 July 2008, Porto, Portugal. Setúbal: Science and Technology Publications [online], volume 3, pages 312-315. Available from: https://doi.org/10.5220/0001896403120315

We present a novel meta-search engine called DYNIQX for metadata based cross search in order to study the effect of metadata in collection fusion. DYNIQX exploits the availability of metadata in academic search services such as PubMed and Google Scho... Read More about A novel metadata based meta-search engine..

Comparing dissimilarity measures for content-based image retrieval. (2008)
Conference Proceeding
LIU, H., SONG, D., RUGER, S., HU, R. and UREN, V. 2008. Comparing dissimilarity measures for content-based image retrieval. In Li, H., Liu, T., Ma, W.-Y., Sakai, T., Wong, K.-F. and Zhou, G. (eds.) Information retrieval technology: revised selected papers from the proceedings of the 4th Asia information retrieval symposium (AIRS 2008), 15-18 January 2008, Harbin, China. Lecture notes in computer science, 4993. Berlin: Springer [online], pages 44-50. Available from: https://doi.org/10.1007/978-3-540-68636-1_5

Dissimilarity measurement plays a crucial role in content-based image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity measures that exist in many... Read More about Comparing dissimilarity measures for content-based image retrieval..

Robust query-specific pseudo feedback document selection for query expansion. (2008)
Conference Proceeding
HUANG, Q., SONG, D. and RUGER, S. 2008. Robust query-specific pseudo feedback document selection for query expansion. In Macdonald, C., Ounis, I., Plachouras, V., Ruthven I. and White, R.W. (eds.) Advances in information retrieval: proceedings of the 30th European conference on information retrieval (IR) research (ECIR 2008), 30 March - 3 April 2008, Glasgow, UK. Lecture notes in computer science, 4956. Berlin: Springer [online], pages 547-554. Available from: https://doi.org/10.1007/978-3-540-78646-7_54

In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. However, very little attention has been paid to an intuitive but criti... Read More about Robust query-specific pseudo feedback document selection for query expansion..

Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. (2008)
Conference Proceeding
SONG, D., HUANG, Q., RUGER, S. and BRUZA, P. 2008. Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. In Macdonald, C., Ounis, I., Plachouras, V., Ruthven I. and White, R.W. (eds.) Advances in information retrieval: proceedings of the 30th European conference on information retrieval (IR) research (ECIR 2008), 30 March - 3 April 2008, Glasgow, UK. Lecture notes in computer science, 4956. Berlin: Springer [online], pages 334-345. Available from: https://doi.org/10.1007/978-3-540-78646-7_31

This paper presents a novel framework to further advance the recent trend of using query decomposition and high-order term relationships in query language modeling, which takes into account terms implicitly associated with different subsets of query... Read More about Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows..

Genre analysis of structured e-mails for corpus profiling. (2008)
Conference Proceeding
CLARK, M., RUTHVEN, I. and O'BRIAN HOLT, P. 2008. Genre analysis of structured e-mails for corpus profiling. In De Roeck, A., Song, D. and Kruschwitz, U. (eds.) Proceedings of the Workshop on corpus profiling for information retrieval and natural language profiling, 18 October 2008, London, UK. London: BCS [online]. Available from: https://ewic.bcs.org/content/ConWebDoc/26114

This paper reports on our approach to the analysis of genre recognition using eyetracking. We focused on a collection of different types of email which could represent different datasets, such as, mailing lists for calls for papers, newsletters, etc.... Read More about Genre analysis of structured e-mails for corpus profiling..

Dissimilarity measures for content-based image retrieval. (2008)
Conference Proceeding
HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z. 2008. Dissimilarity measures for content-based image retrieval. In Proceedings of the 2008 IEEE international conference on multimedia and expo (ICME 2008), 23-26 June 2008, Hannover, Germany. New York: IEEE [online], article number 4607697, pages 1365-1368. Available from: https://doi.org/10.1109/ICME.2008.4607697

Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, Corel, Getty and... Read More about Dissimilarity measures for content-based image retrieval..

The Open University at TREC 2007 Enterprise Track. (2008)
Conference Proceeding
ZHU, J., SONG, D. and RUGER, S. 2007. The Open University at TREC 2007 Enterprise Track. In Proceedings of the 16th Text retrieval conference (TREC 2007), 5-9 November 2007, Gaithersburg, USA. National Institute of Standards and Technology (NIST) special publications, SP 500-274. Gaithersburg: NIST [online], paper number 49. Available from: https://trec.nist.gov/pubs/trec16/papers/openu.ent.final.pdf

The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University participated in the Expert Search and Document Search tasks of the Enterprise Track in TREC 2007. In both the document and expert search tasks, we ha... Read More about The Open University at TREC 2007 Enterprise Track..