Combining a REST lexical analysis web service with SPARQL for mashup semantic annotation from text

Eetu Mäkelä*

*Corresponding author for this work

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

    9 Citations (Scopus)

    Abstract

    Current automatic annotation systems are often monolithic, holding internal copies of both machine-learned annotation models and the reference vocabularies they use. This is problematic particularly for frequently changing references such as person and place registries, as the information in the copy quickly grows stale. In this paper, arguments and experiments are presented on the notion that sufficient accuracy and recall can both be obtained simply by combining a sufficiently capable lexical analysis web service with querying a primary SPARQL store, even in the case of often problematic highly inflected languages.

    Original languageEnglish
    Title of host publicationThe Semantic Web: ESWC 2014 Satellite Events, Revised Selected Papers
    PublisherSpringer-Verlag
    Pages424-428
    Number of pages5
    Volume8798
    ISBN (Print)9783319119540
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventExtended Semantic Web Conference Satellite Events - Ouro Preto, Brazil
    Duration: 20 Oct 201422 Oct 2014
    Conference number: 11

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8798
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Conference

    ConferenceExtended Semantic Web Conference Satellite Events
    Abbreviated titleESWC
    CountryBrazil
    CityOuro Preto
    Period20/10/201422/10/2014

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  • Cite this

    Mäkelä, E. (2014). Combining a REST lexical analysis web service with SPARQL for mashup semantic annotation from text. In The Semantic Web: ESWC 2014 Satellite Events, Revised Selected Papers (Vol. 8798, pp. 424-428). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8798). Springer-Verlag. https://doi.org/10.1007/978-3-319-11955-7_60