• DocumentCode
    2928754
  • Title

    Ontointention: an ontology for documents intentions

  • Author

    Hassan, Kanso ; Ali, Elhore ; Chantal, Soulé-dupuy ; Said, Tazi

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Toulouse 1, Toulouse
  • fYear
    2008
  • fDate
    3-6 June 2008
  • Firstpage
    301
  • Lastpage
    306
  • Abstract
    This article proposes an approach of construction an ontological intentions based on the work study suggested in the literature. Many methods were proposed in the literature. We are interested to the methods applying to the texts, and more particularly, with the methods to learn ontologies starting from textual corpus. This paper presents a construction of an intentions ontology. We state some fundamental principles to respect to build an ontology. We will build the ontology of specific domain which comprises an abstraction levels to knowing a linguistics level, and understanding the effective concepts of the domain and the relations which links them, will be useful for the knowledge extraction between the various semantic contexts, knowing a semantic context is define as being a subset of concepts and relations which link them. The Ontology of Verb Concepts combines linguistic and psycholinguistic classification. The information for verbs encodes typical associations with actions and events. We propose a method by using domain ontology and syntactic-semantic analysis. This article presents experimentation on scientific publications article in the domain of computer science.
  • Keywords
    abstracting; classification; computational linguistics; knowledge acquisition; ontologies (artificial intelligence); text analysis; abstraction level; computer science; documents intention; knowledge extraction; linguistics level; ontointention ontology; psycholinguistic classification; scientific publications article; semantic context; syntactic-semantic analysis; textual corpus; verb concept; Computer science; Data mining; Information retrieval; Ontologies; Psychology; Search engines; Search problems; Semantic Web; Statistical analysis; Information research; Intention Ontology; Knowledge Modeling; Syntactic-Semantic Analysis; Term Extractions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science, 2008. RCIS 2008. Second International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4244-1677-6
  • Electronic_ISBN
    978-1-4244-2273-9
  • Type

    conf

  • DOI
    10.1109/RCIS.2008.4632119
  • Filename
    4632119