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Towards the automatic identification of the nature of citations
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Towards the automatic identification of the nature of citations






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    Towards the automatic identification of the nature of citations Towards the automatic identification of the nature of citations Presentation Transcript

    • Towards the automatic identificationof the nature of citations(1) Department of Computer Science and Engineering, University of Bologna, Italy(2) STLab-ISTC, National Research Council, Italy30 May 2013Montpellier, FranceESWC 2013
    • Motivation• Bibliographic citations can be seen as tools for:– linking research: making pointers to related works, to source ofexperimental data, to methods used, etc.– disseminating research: conference proceedings, journals, Webplatforms (e.g. blogs, wikis), Semantic Publishing platforms andprojects (e.g. OpenCitation, OpenBibliography, Lucero)– exploring research: new ways of browsing article through networksof citations (e.g. CiteWiz, Citation Sensitive In-browser Summariser)– evaluating research: measuring the importance of journals (e.g.impact factor) or the scientific productivity of authors (e.g. h-index)• Assumption: all these activities can be radically improved byexploiting the actual function of citations, i.e. author’sreason for citing a given paper
    • Goal• To design a method able to automatically infer theauthor’s reason for citing a scientific article• To implement a tool that is comparable to humans in thetask of identifying the nature of citations
    • Available online at http://wit.istc.cnr.it:8080/tools/citaloIt extends the researchoutlined in earlier work X.OntologylearningCitation typeextractionWord-sensedisambiguationAlignment toCiTOSentimentanalysisOutput:cito:extendsInput: a sentencecontaining a reference toa bibliographic entityindicated by an “X”Derive a logical (i.e. anOWL ontology)representation of thesentence throughFREDExtract candidate typesfor the citation by lookingfor patterns in FREDoutput via SPARQLGather the sense of thecandidate types throughIMS with respect toOntoWordNetCapture the sentimentpolarity emerging from thtext through AlchemyAPIAssign CiTO types to thecitation through SPARQLCONSTRUCT
    • ResultSimilarly to Teufel et al. [19] the mostneutral CiTO property,citesForInformation, was the mostprevalent function in our dataset too,as the second most used propertywas usedMethodInWe run CiTalO on the same sample according to 8 different configurations and wecompared the results with humans annotationsNo configurationthat emerges asthe absolutely bestone from thesedataWorstconfigurations werethose that took intoaccount all theproximal synsetsWe asked humans to manually annotate 106 citation sentences, contained in scientific araccording to CiTO properties
    • Thanks