GENTILE, Anna Lisa and MAZUMDAR, Suvodeep (2014). User driven information extraction with LODIE. In: HORRIDGE, Matthew, ROSPOCHER, Marco and VAN OSSENBRUGEN, Jacco, (eds.) Proceedings of the ISWC 2014 Posters & Demonstrations Track. CEUR Workshop Proceedings (1272). CEUR Workshop Proceedings, 385-388. [Book Section]
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Mazumdar-UserDrivenInformationExtraction(VoR).pdf - Published Version
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Mazumdar-UserDrivenInformationExtraction(VoR).pdf - Published Version
Available under License Creative Commons Public Domain Dedication.
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Abstract
Information Extraction (IE) is the technique for transforming unstructured or semi-structured data into structured representation
that can be understood by machines. In this paper we use a user-driven
Information Extraction technique to wrap entity-centric Web pages. The
user can select concepts and properties of interest from available Linked
Data. Given a number of websites containing pages about the concepts of
interest, the method will exploit (i) recurrent structures in the Web pages
and (ii) available knowledge in Linked data to extract the information
of interest from the Web pages.
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