• DocumentCode
    3575368
  • Title

    Vertical Semantic Discovery: The SICH Approach on NPS

  • Author

    Laura, Luigi ; Me, Gianluigi ; D´Alessio, Bonaventura ; Capone, Alessandro ; Mignone, Mara

  • Author_Institution
    Dept. of Comput., Control, & Manage. Eng. (DIAG), Sapienza Univ., Rome, Italy
  • fYear
    2014
  • Firstpage
    119
  • Lastpage
    124
  • Abstract
    The SICH Project specific objective is to develop new strategic tools and assessment techniques, based on semantic analysis on texts, to support the dynamic mapping and the automatic identification of illegal content over the Net. Xenophobia/Racism, illegal online Gambling and Novel Psychoactive Substances (NPS) are the main areas of reference. In this paper the authors present a systems based on a semantic engine running an ontology, based on a criminological analysis of NPS phenomenon. The system, after crawling the web, classifies key elements of NPS crime, not necessarily representing illegal content or criminal activity evidence. Thanks to this approach, the system aims to dramatically reduce the learning time of the key factors of illegal activities, with further reuse of well established web graph and SNA tools to highlight the relevant aspects of the semantic results.
  • Keywords
    Internet; computer crime; graph theory; ontologies (artificial intelligence); text analysis; NPS; NPS phenomenon; Novel Psychoactive Substances; SICH approach; SICH project; SNA tools; Web graph; Xenophobia-racism; automatic identification; criminal activity evidence; criminological analysis; dynamic mapping; illegal content; illegal online gambling; ontology; semantic analysis; semantic engine; strategic tools; vertical semantic discovery; Algorithm design and analysis; Drugs; Internet; Ontologies; Semantics; Visualization; World Wide Web; NPS; cybercrime; graph; security; semantic; web; web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6386-7
  • Type

    conf

  • DOI
    10.1109/INCoS.2014.112
  • Filename
    7057079