Storage Retrieval

Download Advances in XML Information Retrieval and Evaluation: 4th by Norbert Fuhr, Mounia Lalmas, Saadia Malik, Gabriella Kazai PDF

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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 is changing into a customary record layout on the internet, in electronic libraries,and publishing. via exploiting the enriched resource of syntactic and semantic info that XML markup presents, XML details retrieval (IR) structures target to enforce a extra concentrated retrieval process and go back rfile elements, so-called XML components – rather than whole records – based on a person question. This concentrated retrieval procedure is of specific bene?t for collections containing lengthy files or records protecting a large choice of subject matters (e.g., books, person manuals, felony records, etc.), the place clients’ e?ort to find proper content material should be decreased via directing them to the main correct components of the records. imposing this, extra concentrated, retrieval paradigm implies that an XML IR approach wishes not just to ?nd proper info within the XML records, however it additionally has to figure out the precise point of granularity to be again to the person. furthermore, the relevance of a retrieved part can be depending on assembly either content material and structural question conditions.

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Read or Download 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 PDF

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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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Over the past four years INEX has been used as an arena to investigate the behaviour of a variety of evaluation metrics. However, unlike in previous years a new set of official metrics was adopted at INEX 2005, which belong to the eXtended Cumulated Gain (XCG) family of metrics [2, 4]. Two official INEX 2005 metrics are nxCG (with the nxCG[r] measure), which for a rank r measures the relative retrieval gain a user has accumulated up to that rank, compared to the gain they could have accumulated if the system had produced the optimal ranking; and ep/gr (with the MAep measure), which for a cumulated gain level measures the amount of relative effort (as the number of visited ranks) a user is required to spend compared to the effort they could have spent while inspecting an optimal ranking [3].

Piwowarski Recall 3 (level 1). (E1) is 2; (E2) is resp. 9 4 for lists A, B, C and D. Precisions are 1, 1, 2 and 2 . Using the same technique that in the previous section, we now combine the precisions for these two sets of users. Table 4. Precision-recall for the list A-D (Fetch&Browse). The precision for the four lists and four recall intervals are shown. The line “correspondence” shows what is the number of ideal elements the user wants to see if, among the elements in the ideal set, (1) he considers that only elements with an exhaustivity 2 are ideal (2) he considers that elements with an exhaustivity at least 1 are ideal.

The ideal recall-base is generated automatically within the evaluation based on the selected quantisation function and the methodology described in section 2. Thorough These tasks were evaluated using the “overlap=off” option, which means that overlap is tolerated within the evaluation. Therefore, no ideal recall-base is generated and the gain value of a component is only a function of its exhaustivity and specificity values, regardless if it overlaps or not with a previously returned element. FetchBrowse The evaluation methodology for these task is different from all other tasks in that two separate evaluation scores were calculated: an article-level and an element-level score.

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