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 turning into a typical record structure on the net, in electronic libraries,and publishing. by way of exploiting the enriched resource of syntactic and semantic info that XML markup presents, XML details retrieval (IR) structures objective to enforce a extra centred retrieval approach and go back rfile parts, so-called XML components – rather than entire files – in accordance with a person question. This targeted retrieval procedure is of specific bene?t for collections containing lengthy records or records overlaying a large choice of themes (e.g., books, consumer manuals, felony records, etc.), the place clients’ e?ort to find proper content material might be diminished by means of directing them to the main proper elements of the files. imposing this, extra concentrated, retrieval paradigm signifies that an XML IR procedure wishes not just to ?nd proper details within the XML records, however it additionally has to figure out the perfect point of granularity to be back to the person. moreover, the relevance of a retrieved part might 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
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). In this case the assessment pool IDs were given within the POOL parameter to ﬁlter the total set of assessments.
D List D2[g,k] D1[b]: in this list, the first element of the first returned document is an element that overlaps partially with an ideal element; hence, the user will consider EPRUM Metrics and INEX 2005 39 the element k of D2 with a probability inferior to 1. Said otherwise, some users only will continue to consult the second highlighted highlighted elements within D2. 9. 9 2 , the three terms of the sum being the case where (1) the user sees h and k, (2) the user sees k but not h, and (3) the user sees h but not k.
The ﬁnal gain value: The ﬁnal gain value of a result element in a ranked output list of an XML IR system, taking into account near-misses and overlaps, is given by the normalised relevance score of: xG[i] := rvnorm (ci ) where rvnorm (ci ) is deﬁned in Equation 8, rv(ci ) is given in Equation 7. (9) INEX 2005 Evaluation Measures 21 Thorough tasks. Thorough tasks were evaluated using the full recall-base as the basis for deriving the ideal gain vectors. The evaluation parameter that represents this setup is referred to as “overlap=oﬀ”.