User needs-driven enrichment of ontology : a case study in Sri Lankan Agriculture

R. S. I. Wilson, Athula Ginige, J. S. Goonetillake, W. A. Indika

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

1 Citation (Scopus)

Abstract

![CDATA[This study describes the mobile-based user needs-driven knowledge management system that supports the decision making process by considering user needs and preferences. Agriculture is one of the domains, in which, users seek specific information and knowledge relevant to their needs rather than searching and accessing general information from the Web, books, magazines or other information sources. Thus, the conceptualized solution was created by applying participatory sensing, natural language processing and ontology theories and techniques in a novel way in order to satisfy the user needs. The user-centered agriculture ontology that has been developed in our previous work is extended to make an up-to-date knowledge base by capturing user needs and preferences through participatory sensing. The methods of ontology evolution from unstructured data were analyzed to build a technique to enrich the user-centered ontology. The Modified Delphi method is used for verifying the correctness and relevancy of the ontology and the application-based evaluation is applied for checking the functional correctness of the system.]]
Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Information Technology: IoT and Smart City, 20-23 December 2019, Shanghai, China
PublisherAssociation for Computing Machinery
Pages581-586
Number of pages6
ISBN (Print)9781450376631
DOIs
Publication statusPublished - 2019
EventInternational Conference on Information Technology -
Duration: 20 Dec 2019 → …

Conference

ConferenceInternational Conference on Information Technology
Period20/12/19 → …

Keywords

  • Sri Lanka
  • agriculture
  • decision support systems
  • ontologies (information retrieval)

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