By Norbert Fuhr, Mounia Lalmas, Saadia Malik, Gabriella Kazai
Content-oriented XML retrieval has been receiving expanding curiosity as a result of common use of eXtensible Markup Language (XML), that's changing into a customary rfile 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) platforms target to enforce a extra concentrated retrieval process and go back rfile parts, so-called XML components – rather than entire records – in line with a consumer question. This concentrated retrieval technique is of specific bene?t for collections containing lengthy records or records protecting a large choice of issues (e.g., books, consumer manuals, felony files, etc.), the place clients’ e?ort to find appropriate content material could be diminished via directing them to the main proper components of the records. imposing this, extra targeted, retrieval paradigm implies that an XML IR procedure wishes not just to ?nd appropriate info within the XML records, however it additionally has to figure out definitely the right point of granularity to be back to the person. moreover, the relevance of a retrieved part can 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
Springer-Verlag, 2006. 7. C. J. 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 Transactions on Information Systems (ACM TOIS), To appear. 5. J. 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.
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). In this case the assessment pool IDs were given within the POOL parameter to ﬁlter the total set of assessments. The pool IDs represent the following topics: 202, 203, 205, 207, 208, 210, 212, 216, 219, 222, 223, 228, 229, 230, 232, 233, 234, 236, 239.