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Conference of the Italian Association for Artificial Intelligence

AI*IA 2016: AI*IA 2016 Advances in Artificial Intelligence pp 406–417Cite as

A Framework for Automatic Population of Ontology-Based Digital Libraries

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10037))

Abstract

Maintaining updated ontology-based digital libraries faces two main issues. First, documents are often unstructured and in heterogeneous data formats, making it even more difficult to extract information and search in. Second, manual ontology population is time consuming and therefore automatic methods to support this process are needed.

In this paper, we present an ontology-based framework aiming at populating ontologies. In particular, we propose an approach for triplet extraction from heterogeneous and unstructured documents in order to automatically populate ontology-based digital libraries. Finally, we evaluate the proposed framework on a real world case study.

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Notes

  1. 1.

    http://www-nlpir.nist.gov/related_projects/muc/.

  2. 2.

    http://stardog.com.

  3. 3.

    We used OpenNLP default parameters, namely cutoff frequencies set to 5, number of iterations set to 100.

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Acknowledgments

The authors would like to thank Dr. Anastasia Di Nunzio for helpful discussion on linguistic typology studies.

Author information

Authors and Affiliations

  1. DIBRIS, Università di Genova, Via Opera Pia, 13, 16145, Genova, Italy

    Laura Pandolfo & Giovanni Adorni

  2. Polcoming, Università di Sassari, Viale Mancini n. 5, 07100, Sassari, Italy

    Luca Pulina

Authors
  1. Laura Pandolfo
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  2. Luca Pulina
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  3. Giovanni Adorni
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Corresponding author

Correspondence to Laura Pandolfo .

Editor information

Editors and Affiliations

  1. University of Genoa , Genova, Italy

    Giovanni Adorni

  2. University of Parma , Parma, Italy

    Stefano Cagnoni

  3. University of Siena , Siena, Italy

    Marco Gori

  4. University of Genova , Genova, Italy

    Marco Maratea

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Pandolfo, L., Pulina, L., Adorni, G. (2016). A Framework for Automatic Population of Ontology-Based Digital Libraries. In: Adorni, G., Cagnoni, S., Gori, M., Maratea, M. (eds) AI*IA 2016 Advances in Artificial Intelligence. AI*IA 2016. Lecture Notes in Computer Science(), vol 10037. Springer, Cham. https://doi.org/10.1007/978-3-319-49130-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-49130-1_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49129-5

  • Online ISBN: 978-3-319-49130-1

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