Semantic Annotation and Retrieval of Services in the Cloud View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Miguel Ángel Rodríguez-García , Rafael Valencia-García , Francisco García-Sánchez , José Javier Samper-Zapater , Isidoro Gil-Leiva

ABSTRACT

Recently, the economy has taken a downturn, which has forced many companies to reduce their costs in IT. This fact has, conversely, benefited the adoption of innovative computing models such as cloud computing, which allow businesses to reduce their fixed IT costs through outsourcing. As the number of cloud services available on the Internet grows, it is more and more difficult for companies to find those that can meet their needs. Under these circumstances, enabling a semantically-enriched search engine for cloud solutions can be a major breakthrough. In this paper, we present a fully-fledged platform based on semantics that (1) assist in generating a semantic description of cloud services, and (2) provide a cloud-focused search tool that makes use of such semantic descriptions to get accurate results from keyword-based searches. The proposed platform has been tested in the ICT domain with promising results. More... »

PAGES

69-77

References to SciGraph publications

  • 2002-09-13. User-System Cooperation in Document Annotation Based on Information Extraction in KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT: ONTOLOGIES AND THE SEMANTIC WEB
  • 2011. Ontology-Guided Approach to Feature-Based Opinion Mining in NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS
  • 2009. Extracting Modules from Ontologies: A Logic-Based Approach in MODULAR ONTOLOGIES
  • 2010-05. Cloud computing: state-of-the-art and research challenges in JOURNAL OF INTERNET SERVICES AND APPLICATIONS
  • 2003. KIM – Semantic Annotation Platform in THE SEMANTIC WEB - ISWC 2003
  • 2002. S-CREAM — Semi-automatic CREAtion of Metadata in KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT: ONTOLOGIES AND THE SEMANTIC WEB
  • Book

    TITLE

    Distributed Computing and Artificial Intelligence

    ISBN

    978-3-319-00550-8
    978-3-319-00551-5

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-00551-5_9

    DOI

    http://dx.doi.org/10.1007/978-3-319-00551-5_9

    DIMENSIONS

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