Special Issue - NCRTCC - 16- 2016

  • 1. A web service with self-learning ontological process (ws – slop)

    Authors : J. Ranjani, G. Niranjana

    Pages : 9-16

    Keywords : Ontology, Semantic web, WSDL Descriptors, Free Text Descriptors, Web Context Generation, TF/IDF, Web Context Generation, Web Service, UDDI

    Abstract :

    Ontology is a specification that is designed for reuse across multiple applications and implementations. Ontology has become the effective modeling for various applications and significantly in the semantic web. The difficulty of extracting information from the web is avoided by the ontology. It was created mainly for visualising information, has driven the birth of the semantic web. It contains much more resources than the web and will attach machine-readable semantic information to these resources. Self-Learning Ontological Process on a set of predefined sources must address the problem of various, largely unrelated concepts. The web services consist of basically two components, Web Services Description Language (WSDL) descriptor and free text descriptors. The WSDL descriptor is evaluated using two methods, namely Term Frequency/Inverse Document Frequency (TF/IDF) and web context generation. The proposed Self-Learning Ontological Process integrates TF/IDF and web context generation and applies validation using the free text descriptor service, so that, it offers more accurate definition of ontology. The web service ranking model assign the rank for a collection of web service documents which leads to the self learning, enhancement ontology for web services.

    Citing this Journal Article :

    J. Ranjani, G. Niranjana, "A web service with self-learning ontological process (ws – slop)", https://www.ijltet.org/journal_details.php?id=902&j_id=3134, Special Issue - NCRTCC - 16- 2016, 9-16, #ijltetorg