77documents trouvés
Common innovation in e-learning, machine learning and humanoid
S.TAZI, K.ZREIK
OLC, Paris 8
Ouvrage (éditeur) : Europia Productions, Paris, 2008, N°ISBN 978-2-909285-46-4, Juin 2008, pp.1-149 , N° 08292
Non diffusable
114037RICAD: towards an architecture for recognizing author's targets
H.KANSO, A.ELHORE, C.SOULE-DUPUY, S.TAZI
Toulouse I, OLC
Manifestation avec acte : 10th International Conference on Enterprise Information Systems (ICEIS 2008), Barcelone (Espagne), 12-16 Juin 2008, 6p. , N° 08271
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Mots-Clés / Keywords
Information research; Intentional structure; Intentional explanation; Ontology;
OntoIntention: an Ontology for documents intentions
H.KANSO, A.ELHORE, C.SOULE-DUPUY, S.TAZI
Toulouse I, OLC
Manifestation avec acte : IEEE International Conference on Research Challenges in Information Science (RCIS 2008), Marrakech (Maroc), 3-6 Juin 2008, pp.315-319 , N° 08268
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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.
Mots-Clés / Keywords
Information research; Term extractions; Intention ontology; Syntactic-semantic analysis; Knowledge modeling;
M2M Requirements
J.LATVAKOSKI, J.KALLIO, T.HAUTAKOSKI, T.VAISANEN, J.TOIVONEN, T.PARKKILA, A.PETERZENS, A.DECKERS, P.DOBBELAERE, P.DEDECKER, J.HOEBEKE, B.MEEKERS, F.MARTINEZ, L.MANERO, I.LUCAS, D.PIREZ, A.ZABALA, K.DRIRA, T.VILLEMUR, S.TAZI, V.BAUDIN, T.CHAARI, G.SANCHO, I.BOUASSIDA, P.ROSSIGNOL
VTT, Plenware, ALCATEL, IBBT, RMONIE Wireless, Ikerlan, Fagor, THALES Paris, IDEKO, OLC, 2I, BULL
Rapport de Contrat : Contrat UseNet ITEA2 06004, Juin 2008, 129p. , N° 08336
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114337Machine learning and intention recognition systems with self-knowledge acquisition
H.KANSO, A.ELHORE, C.SOULE-DUPUY, S.TAZI
Toulouse I, OLC
Manifestation avec acte : 6th International Conference on Human System Learning (IEEE-ICHSL.6), Toulouse (France), 14-16 Mai 2008, 7p. , N° 08270
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Mots-Clés / Keywords
Learning; Intentions; Ontology; Explanation; Machine learning; Recognition; Knowledge acquisition;
Extraction de l'information intentionnelle à travers le système RICAD basée sur une ontologie
H.KANSO, A.ELHORE, C.SOULE-DUPUY, S.TAZI
Toulouse I, OLC
Manifestation avec acte : 5ème Conférence sur les Systèmes Intelligents: Théories et Applications, Rabat (Maroc), 5-6 Mai 2008, 13p. , N° 08471
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Mots-Clés / Keywords
Intentions; Analyse de texte; Segmentation; Ontologies; Recherche d'information; Traitement automatique des langues naturelles;
Semi-automatic analyzer to detect authorial intentions in scientific documents
H.KANSO, A.ELHORE, C.SOULE-DUPUY, S.TAZI
Toulouse I, OLC
Revue Scientifique : International Journal of Computer Science, Vol.3, N°1, pp.19-24, Avril 2008 , N° 08165
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Abstract
Information Retrieval has the objective of studying models and the realization of systems allowing a user to find the relevant documents adapted to his need of information. The information search is a problem which remains difficult because the difficulty in the representing and to treat the natural languages such as polysemia. Intentional Structures promise to be a new paradigm to extend the existing documents structures and to enhance the different phases of documents process such as creation, editing, search and retrieval. The intention recognition of the author's of texts can reduce the largeness of this problem. In this article, we present intentions recognition system is based on a semi-automatic method of extraction the intentional information starting from a corpus of text. This system is also able to update the ontology of intentions for the enrichment of the knowledge base containing all possible intentions of a domain. This approach uses the construction of a semi-formal ontology which considered as the conceptualization of the intentional information contained in a text. An experiments on scientific publications in the field of computer science was considered to validate this approach.
Mots-Clés / Keywords
Information research; Text analyzes; Intentional structure; Segmentation; Ontology; Natural language processing;
Recognition and extraction of intentions based on ontology
H.KANSO, A.ELHORE, C.SOULE-DUPUY, S.TAZI
Toulouse I, OLC
Manifestation avec acte : 3rd International Conference on Information & Communication Technologies: from Theory to Applications (ICTTA'08), Damas (Syrie), 7-11 Avril 2008, 6p. , N° 08470
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Mots-Clés / Keywords
Information retrieval; Intentional structure; Ontology; Analyzer;
Enabling co-evolutionary design of safety-critical systems and their documentations through intentions
S.TAZI, D.G.NOVICK
OLC, University of Texas
Rapport LAAS N°08133, Mars 2008, 12p.
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Mots-Clés / Keywords
Design studies; Design notations and documentation; Coherence and coordination; User/Machine systems;
Recognizing semi-automatically author's intentions from scientific documents
H.KANSO, A.ELHORE, C.SOULE-DUPUY, S.TAZI
Toulouse I, OLC
Manifestation avec acte : The 6th International Conference on Informatics and Systems (INFOS 2008), Le Caire (Egypte), 27-29 Mars 2008, 10p. , N° 08134
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Abstract
The growing volume of electronic documents on the Web, make their retrieval difficult. One of the reasons of this difficulty is the lack of rich representation of their structures. Intentional Structures promise to be a new paradigm to extend the existing documents structures and to enhance the different phases of documents process such as creation, editing, search and retrieval. The objective of this work is to propose a model of intentional structure and, an analyzer to recognize the author's intentions from written documents in a specific domain. On the one hand, this system is based on ontology of intentions. On the other hand, it is based on a set of algorithms which facilitate the building of intentional structure. The main principle of these algorithms is to reproduce writer's skills. The role of the system is to recognize the intentional structure i.e., to make a segmentation in a semi-automatic way of a document according to the authors intentions, and to extract the intentional verbs accompanied by their concepts of each segment through the algorithms of our analyzer. This analyzer is also able to update the ontology of intentions for the enrichment of the knowledge base containing all possible intentions of a domain. This article presents experimentation on scientific publications in the field of computer science.
Mots-Clés / Keywords
Information research; Analyzer; Intentional structure; Segmentation; Ontology;