Computed knowledge base for description of information resources of water spectroscopy

Alexander Fazliev, Alexey Privezentsev, Dmitry Tsarkov, Jonathan Tennyson

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We develop the addition to the W@DIS information system that allows one to load solutions of the quantitative spectroscopy problems. These solutions are supplied with calculated semantic annotations that characterise properties of the solutions. In addition to the typical properties (e.g. represented in Dublin Core) the solution reliability properties are also determined. Every solution is represented in a knowledge base as an individual of the quantitative spectroscopy ontology, which contains more that 106 axioms. In the paper we present the knowledge base structure and describe two classes of the information sources classification tasks, together with the solutions using querying OWL ontologies.
    Original languageEnglish
    Title of host publicationCEUR Workshop Proceedings|CEUR Workshop Proc.
    Volume614
    Publication statusPublished - 2010
    Event7th International Workshop on OWL: Experiences and Directions, OWLED 2010 - San Francisco, CA
    Duration: 1 Jul 2010 → …
    http://www.webont.org/owled/2010/papers/owled2010_submission_7.pdf

    Conference

    Conference7th International Workshop on OWL: Experiences and Directions, OWLED 2010
    CitySan Francisco, CA
    Period1/07/10 → …
    Internet address

    Keywords

    • Annotation model
    • Classification problems
    • Water spectroscopy knowledge base

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