Download e-book for kindle: Advances in XML Information Retrieval and Evaluation: 4th by Norbert Fuhr, Mounia Lalmas, Saadia Malik, Gabriella Kazai

By Norbert Fuhr, Mounia Lalmas, Saadia Malik, Gabriella Kazai

ISBN-10: 3540349626

ISBN-13: 9783540349624

Content-oriented XML retrieval has been receiving expanding curiosity as a result of the common use of eXtensible Markup Language (XML), that is changing into a customary rfile structure on the net, in electronic libraries,and publishing. by means of exploiting the enriched resource of syntactic and semantic details that XML markup offers, XML details retrieval (IR) structures goal to enforce a extra centred retrieval technique and go back rfile parts, so-called XML components – rather than entire files – according to a person question. This targeted retrieval process is of specific bene?t for collections containing lengthy records or files overlaying a wide selection of issues (e.g., books, consumer manuals, felony records, etc.), the place clients’ e?ort to find proper content material will be diminished via directing them to the main correct components of the records. imposing this, extra concentrated, retrieval paradigm signifies that an XML IR method wishes not just to ?nd proper info within the XML records, however it additionally has to figure out the correct point of granularity to be lower 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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Extra 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

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W. Conover. Practical Non-Parametric Statistics, 2nd edn. , New York, NY, USA, 1980. 2. K. J¨ arvelin and J. Kek¨ al¨ ainen. Cumulated Gain-based evaluation of IR techniques. ACM Transactions on Information Systems (ACM TOIS), 20(4):422–446, 2002. 3. N. Kando, K. Kuriyama, and M. Yoshioka. Information retrieval system evaluation using multi-grade relevance judgements - discussion on averageable single-numbered measures (in japanese). Technical report, 2001. INEX 2005 Evaluation Measures 29 4. G.

The minimum number of elements the user has to consult, over all possible lists, is 1. The value is the same for the system list and the user was able to see one element. Precision is 1. Recall 2. The minimum number of elements the user has to consult, over all possible lists, is 2. For the evaluated system, the user will have to consult the list until d - that is, the minimum number of items that he has to consult is 4. 5. Recall 3. In this case, the same process would give us a precision of 3/5 (because the user has to consult the whole list), but has the recall cannot be attained by the user, the achievement indicator is 0 and hence precision is also 0.

Voorhees. Common evaluation measures. In The Twelfth Text Retrieval Conference (TREC 2003), number SP 500-255, pages 1–13. NIST, 2003. [7] A. Vries, G. Kazai, and M. Lalmas. Tolerance to irrelevance: A user-effort oriented evaluation of retrieval systems without predefined retrieval unit. In Proceedings of RIAO (Recherche d’Information Assistée par Ordinateur (Computer Assisted Information Retrieval)), Avignon, France, Apr. 2004. HiXEval: Highlighting XML Retrieval Evaluation Jovan Pehcevski and James A.

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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 by Norbert Fuhr, Mounia Lalmas, Saadia Malik, Gabriella Kazai


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