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Highlighting Timely Information in Libraries Through Social and Semantic Web Technologies

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Metadata and Semantics Research (MTSR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 672))

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Abstract

Until now, timeliness of information in libraries is commonly used to underpin collection development and is directly related to quality in terms of realizing whether information is sufficiently up-to-date and available for use.

In this paper, it is argued that timely information could be exploited from libraries in another context. More specifically, it would be meaningful for the users of a library to explore resources based on their relevancy to popular events that occasionally occur to the society. Along these lines, a prototype digital library service is implemented and accordingly deployed, based on popular crowdsourcing services (i.e. Twitter) that are integrated with semantic web technologies. The proposed service is evaluated in terms of its ability to provide accurate and timely information.

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Notes

  1. 1.

    Twitter search API, avail. at: https://dev.twitter.com/rest/public/search [accessed: 12/06/2016].

  2. 2.

    Bing API, avail. at: http://datamarket.azure.com/dataset/bing/search [accessed: 12/06/2016].

  3. 3.

    DSpace, avail. at: http://dspace.org/ [accessed: 12/06/2016].

  4. 4.

    MongoDB, avail. at: https://www.mongodb.org/ [accessed: 12/06/2016].

  5. 5.

    DBpedia’s SPARQL endpoint, avail. at: http://dbpedia.org/sparql [accessed: 12/06/2016].

  6. 6.

    SPARQL Query Language, avail at: www.w3.org/TR/rdf-sparql-query/ [accessed: 12/06/2016].

  7. 7.

    The corresponding SPARQL query would be:

    SELECT ?related WHERE

    {<http://dbpedia.org/resource/Data_science> <http://purl.org/dc/terms/subject> ?related}.

  8. 8.

    DSpace REST API, avail. at: https://wiki.duraspace.org/display/DSDOC5x/REST+API [accessed: 12/06/2016].

  9. 9.

    Dione, avail. at: http://dione.lib.unipi.gr/ [accessed: 12/06/2016].

  10. 10.

    The four schools of University are presented in Fig. 4.

  11. 11.

    The corresponding log files as well as access to Mongo DB’s tables can be found at: http://aimashup.org/timeliness.

  12. 12.

    The Bing’s spelling suggestions service allows 5,000 remote requests per month.

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Authors and Affiliations

  1. Department of Archives, Library Science and Museum Studies, Ionian University, Ioannou Theotoki 72, 49100, Corfu, Greece

    Ioannis Papadakis & Konstantinos Kyprianos

  2. Department of Informatics, University of Piraeus, Karaoli & Dimitriou 80, 18534, Piraeus, Greece

    Apostolos Karalis

Authors
  1. Ioannis Papadakis
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  2. Konstantinos Kyprianos
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  3. Apostolos Karalis
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Corresponding author

Correspondence to Konstantinos Kyprianos .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Alexander Technological Educational Inst , Rome, Italy

    Imma Subirats Coll

  3. Sapienza University of Rome , Rome, Italy

    Armando Stellato

  4. Drexel University, Philadelphia, Pennsylvania, USA

    Jane Greenberg

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Papadakis, I., Kyprianos, K., Karalis, A. (2016). Highlighting Timely Information in Libraries Through Social and Semantic Web Technologies. In: Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-319-49157-8_26

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  • DOI: https://doi.org/10.1007/978-3-319-49157-8_26

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  • Publisher Name: Springer, Cham

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