Please cite the following paper, if you use PIKES in a scientific publication:

  • Frame-based Ontology Population with PIKES.
    By Francesco Corcoglioniti, Marco Rospocher, and Alessio Palmero Aprosio.
    In IEEE Transactions on Knowledge and Data Engineering, 2016, vol. 28, no. 12, pp. 3261-3275.
    [bib] [pre-print/mirror]


Papers on research work implemented in some PIKES module:

  • Joint Posterior Revision of NLP Annotations via Ontological Knowledge
    By Marco Rospocher and Francesco Corcoglioniti.
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, IJCAI-ECAI 2018, Stockholm, Sweden, July 13-19, 2018
    [bib] [pre-print/mirror]

  • An Ontology-driven Probabilistic Soft Logic Approach to Improve NLP Entity Annotations
    By Marco Rospocher.
    In Proceedings of the 17th International Semantic Web Conference, ISWC 2018, Monterey, CA, USA, October 8-12, 2018
    [bib] [pre-print/mirror]


Papers describing applications exploiting PIKES:

  • Knowledge Extraction for Information Retrieval
    By Francesco Corcoglioniti, Mauro Dragoni, Marco Rospocher, and Alessio Palmero Aprosio.
    In Proceedings of the 13th European Semantic Web Conference (ESWC2016), Anissaras, Crete, Greece, May 29-June 2, 2016
    [bib] [pre-print/mirror] [slides]


Other papers describing PIKES:

  • A 2-phase Frame-based Knowledge Extraction Framework.
    By Francesco Corcoglioniti, Marco Rospocher, and Alessio Palmero Aprosio.
    In Proc. of ACM Symposium on Applied Computing (SAC’16), 2016.
    [bib] [pre-print/mirror] [slides]

  • Extracting Knowledge from Text with PIKES
    By Francesco Corcoglioniti, Marco Rospocher, and Alessio Palmero Aprosio.
    In Proc. of ISWC 2015 Posters & Demonstrations Track, within the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pennsylvania, October 13, 2015.
    [bib] [pre-print/mirror] [poster] [madness-slide]

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Last Published: 2022/02/04.

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Data and Knowledge Management tools