Towards Disambiguating Web Tables

Stefan Zwicklbauer, Christoph Einsiedler, Michael Granitzer, Christin Seifert

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    20 Citations (Scopus)
    15 Downloads (Pure)


    Web tables comprise a rich source of factual information. However, without semantic annotation of the tables' content the information is not usable for automatic integration and search. We propose a methodology to annotate table headers with semantic type information based on the content of column's cells. In our experiments on 50 tables we achieved an F1 value of 0.55, where the accuracy greatly varies depending on the used ontology. Moreover, we found that for 94% of maximal F1 score only 20 cells (37%) need to be considered on average. Results suggest that for table disambiguation the choice of the ontology needs to be considered and the data input size can be reduced
    Original languageEnglish
    Title of host publicationISWC-PD 2013
    Subtitle of host publicationISWC 2013 Posters & Demonstrations Track
    EditorsEva Blomqvist, Tudor Groza
    Number of pages4
    Publication statusPublished - 2013
    Event12th International Semantic Web Conference, ISWC 2013 - Melbourne, Australia
    Duration: 21 Oct 201325 Oct 2013
    Conference number: 12


    Conference12th International Semantic Web Conference, ISWC 2013
    Abbreviated titleISWC


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