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WSIA: Web Ontological Search Engine Based on Smart Agents Applied to Scientific Articles

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Advances in Swarm Intelligence (ICSI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11656))

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Abstract

The Semantic Web proposed by the W3C (Word Wide Web Consortium), aims to make the automation of the information contained in the current web through semantic processing based on ontologies that define what must be the rules used for the representation knowledge. This article resulting from the research project “Model for the representation of knowledge based on Web ontologies and intelligent search agents, if required: Scientific articles WSIA” proposes an architecture for finding information through intelligent agents and ontologies Web of scientific articles. This paper shows the architecture, implementation and comparing these with traditional applications.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Electronic, Universidad de la Costa CUC, Barranquilla, Colombia

    Paola Patricia Ariza-Colpas & Roberto Morales-Ortega

  2. Department of System Engineering, Universidad del Norte, Barranquilla, Colombia

    Marlon Alberto Piñeres-Melo & Wilson Nieto-Bernal

Authors
  1. Paola Patricia Ariza-Colpas
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  2. Marlon Alberto Piñeres-Melo
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  3. Wilson Nieto-Bernal
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  4. Roberto Morales-Ortega
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Corresponding author

Correspondence to Paola Patricia Ariza-Colpas .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  3. Shenzhen University, Shenzhen, China

    Ben Niu

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Ariza-Colpas, P.P., Piñeres-Melo, M.A., Nieto-Bernal, W., Morales-Ortega, R. (2019). WSIA: Web Ontological Search Engine Based on Smart Agents Applied to Scientific Articles. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2019. Lecture Notes in Computer Science(), vol 11656. Springer, Cham. https://doi.org/10.1007/978-3-030-26354-6_34

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  • DOI: https://doi.org/10.1007/978-3-030-26354-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26353-9

  • Online ISBN: 978-3-030-26354-6

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