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International Conference on Knowledge Engineering and Knowledge Management

EKAW 2014: Knowledge Engineering and Knowledge Management pp 140–144Cite as

Legalo: Revealing the Semantics of Links

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8982))

Abstract

Links in webpages carry an intended semantics: usually, they indicate a relation between two things, a subject (something referenced to within the web page) and an object (the target webpage of the link, or something referred to within it). We designed and implemented a novel system, named Legalo, which uncovers the intended semantics of links by defining Semantic Web properties that capture its meaning. Legalo properties can be used for tagging links with semantic relations. The system can be used at http://wit.istc.cnr.it/stlab-tools/legalo.

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References

  1. Rizzo, G., Troncy, R., Hellmann, S., Bruemmer, M.: NERD meets NIF: Lifting NLP extraction results to the linked data cloud. In: LDOW, 5th Wks. on Linked Data on the Web, Lyon, France, April 2012

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  2. Khalili, A., Auer, S., Ngonga Ngomo, A.-C.: conTEXT – lightweight text analytics using linked data. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 628–643. Springer, Heidelberg (2014)

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  3. Presutti, V., Draicchio, F., Gangemi, A.: Knowledge extraction based on discourse representation theory and linguistic frames. In: ten Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS, vol. 7603, pp. 114–129. Springer, Heidelberg (2012)

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Author information

Authors and Affiliations

  1. STLab, ISTC-CNR, via Nomentana, 56-00161, Rome, Italy

    Andrea Giovanni Nuzzolese, Valentina Presutti & Aldo Gangemi

  2. STLab, ISTC-CNR, via Gaifami, 18-95126, Catania, Italy

    Sergio Consoli & Diego Reforgiato Recupero

Authors
  1. Sergio Consoli
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  2. Andrea Giovanni Nuzzolese
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  3. Valentina Presutti
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  4. Diego Reforgiato Recupero
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  5. Aldo Gangemi
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Corresponding author

Correspondence to Andrea Giovanni Nuzzolese .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Patrick Lambrix

  2. Aalto University, Espoo, Finland

    Eero Hyvönen

  3. Linköping University, Linköping, Sweden

    Eva Blomqvist

  4. STLab ISTC-CNR, Rome, Italy

    Valentina Presutti

  5. Southeast University, Nanjing, Jiangsu, China

    Guilin Qi

  6. University of Manchester, Manchester, United Kingdom

    Uli Sattler

  7. Indiana University Bloomington, Bloomington, Indiana, USA

    Ying Ding

  8. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Consoli, S., Nuzzolese, A.G., Presutti, V., Reforgiato Recupero, D., Gangemi, A. (2015). Legalo: Revealing the Semantics of Links. In: Lambrix, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2014. Lecture Notes in Computer Science(), vol 8982. Springer, Cham. https://doi.org/10.1007/978-3-319-17966-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-17966-7_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17965-0

  • Online ISBN: 978-3-319-17966-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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