By Norbert Fuhr, Mounia Lalmas, Saadia Malik, Gabriella Kazai
Content-oriented XML retrieval has been receiving expanding curiosity as a result common use of eXtensible Markup Language (XML), that is turning into a customary record structure on the internet, in electronic libraries,and publishing. by means of exploiting the enriched resource of syntactic and semantic details that XML markup presents, XML details retrieval (IR) structures objective to enforce a extra targeted retrieval method and go back record parts, so-called XML parts – rather than whole records – in line with a consumer question. This centred retrieval method is of specific bene?t for collections containing lengthy files or files overlaying a large choice of themes (e.g., books, consumer manuals, criminal files, etc.), the place clients’ e?ort to find correct content material will be lowered by means of directing them to the main appropriate elements of the records. enforcing this, extra centred, retrieval paradigm signifies that an XML IR process wishes not just to ?nd appropriate info within the XML files, however it additionally has to figure out the suitable point of granularity to be lower back to the consumer. moreover, the relevance of a retrieved part might be depending on assembly either content material and structural question conditions.
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Additional info for Advances in XML Information Retrieval and Evaluation: 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, Dagstuhl Castle, Germany, November 28-30, 2005. Revised Selected Papers
V. Rijsbergen. Information Retrieval. Butterworth-Heinemann, Newton, MA, USA, 1979. html. 8. T. Sakai. New performance metrics based on multigrade relevance: Their application to question answering. In NTCIR Workshop 4 Meeting Working Notes, June 2004. 9. E. M. Voorhees. Evaluation by highly relevant documents. In SIGIR’01: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, pages 74–82, New York, NY, USA, 2001. ACM Press. cl Abstract.
Kek¨ al¨ ainen and K. J¨ arvelin. Using graded relevance assessments in IR evaluation. Journal of the American Society for Information Science and Technology, 53(13):1120– 1129, 2002. 6. S. Malik, G. Kazai, M. Lalmas, and N. Fuhr. Overview of inex 2005. In N. Fuhr, M. Lalmas, S. Malik, and G. Kazai, editors, Advances in XML Information Retrieval and Evaluation: Fourth Workshop of the INitiative for the Evaluation of XML Retrieval (INEX 2005), Schloss Dagstuhl, 28-30 November 2005, volume 3977 of Lecture Notes in Computer Science, pages 1–15.
Net6. group id=136430. net/. There is a README included within EvalJ, detailing how to get going and how to run the various evaluation measures. g. overlap is to be handled. These parameters are read at run time from a conﬁg ﬁle. prop is provided within EvalJ, containing the oﬃcial parameter settings for INEX 2005. These are detailed below. Note that the diﬀerence between the CO and COS evaluations was that the former was based on all assessed CO+S topics (29 topics), whereas the latter was evaluated using only those assessed topics that contained a < castitle > element (19 topics).