Advances in Information Retrieval: 32nd European Conference by Cathal Gurrin

By Cathal Gurrin

These lawsuits comprise the papers offered at ECIR 2010, the thirty second ecu- pean convention on info Retrieval. The convention used to be organizedby the information Media Institute (KMi), the Open college, in co-operation with Dublin urban college and the collage of Essex, and used to be supported via the data Retrieval professional crew of the British laptop Society (BCS- IRSG) and the certain curiosity crew on details Retrieval (ACM SIGIR). It used to be held in the course of March 28-31, 2010 in Milton Keynes, united kingdom. ECIR 2010 got a complete of 202 full-paper submissions from Continental Europe (40%), united kingdom (14%), North and South the United States (15%), Asia and Australia (28%), center East and Africa (3%). All submitted papers have been reviewed by way of at leastthreemembersoftheinternationalProgramCommittee.Outofthe202- pers forty four have been chosen asfull researchpapers. ECIR has alwaysbeen a convention with a robust pupil concentration. to permit as a lot interplay among delegates as attainable and to maintain within the spirit of the convention we made up our minds to run ECIR 2010 as a single-track occasion. for this reason we made up our minds to have presentation codecs for complete papers. a few of them have been awarded orally, the others in poster structure. The presentation layout doesn't symbolize any di?erence in caliber. as a substitute, the presentation layout used to be made up our minds after the total papers have been authorized on the software Committee assembly held on the college of Essex. The perspectives of the reviewers have been then considered to choose the main acceptable presentation layout for every paper.

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In these Figures we are studying the similarity between a very short text, the anchor Analyzing Information Retrieval Methods to Recover Broken Web Links 33 Fig. 3. Results of different approaches (Cosine, Dice, Tanimoto and Kullback-Liebler Divergence) applied to measure the similarity between: (i) the Anchor Text of the broken link and the Title of the candidate page, (ii) the Anchor Text of the broken link and the Content of the candidate page, (iii) the Content of the page where is the broken link and the Content of the candidate page, and (iv) the Content of the Cache page of the broken link and the Content of the candidate page.

Martinez-Romo and L. Araujo Algorithm for Automatic Recovery of Links The results of the analysis described in the previous sections suggest several criteria to decide for which cases there is enough information to try the retrieval of the link and which sources of information to use. According to them, we propose the recovery process which appears in Figure 4. First of all, it is checked whether the anchor number of terms is just one (length(anchor) = 1) and whether it does not contain named entities (NoNE(anchor)).

ECIR 2010, LNCS 5993, pp. 26–37, 2010. c Springer-Verlag Berlin Heidelberg 2010 Analyzing Information Retrieval Methods to Recover Broken Web Links 27 Fig. 1. Scheme of the system for automatic recovering of broken links links in order to determine which ones are the most useful sources of information and which of them are the most appropriate in each case. Sometimes we can recover a broken link by entering the anchor text as an user query in a search engine. There are many works which have analyzed the importance of the anchor text and title like a source of information[1].

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