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  • BOWL: augmenting the Semantic Web with beliefs

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    Author(s)
    Dong, JS
    Feng, Y
    Li, YF
    Tan, CKY
    Wadhwa, B
    Wang, HH
    Griffith University Author(s)
    Dong, Jin-Song
    Year published
    2015
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    Abstract
    As the Semantic Web is an open, complex and constantly evolving medium, it is the norm, but not exception that information at different sites is incomplete or inconsistent. This poses challenges for the engineering and development of agent systems on the Semantic Web, since autonomous software agents need to understand, process and aggregate this information. Ontology language OWL provides core language constructs to semantically markup resources on the Semantic Web, on which software agents interact and cooperate to accomplish complex tasks. However, as OWL was designed on top of (a subset of) classic predicate logic, it ...
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    As the Semantic Web is an open, complex and constantly evolving medium, it is the norm, but not exception that information at different sites is incomplete or inconsistent. This poses challenges for the engineering and development of agent systems on the Semantic Web, since autonomous software agents need to understand, process and aggregate this information. Ontology language OWL provides core language constructs to semantically markup resources on the Semantic Web, on which software agents interact and cooperate to accomplish complex tasks. However, as OWL was designed on top of (a subset of) classic predicate logic, it lacks the ability to reason about inconsistent or incomplete information. Belief-augmented Frames (BAF) is a frame-based logic system that associates with each frame a supporting and a refuting belief value. In this paper, we propose a new ontology language Belief-augmented OWL (BOWL) by integrating OWL DL and BAF to incorporate the notion of confidence. BOWL is paraconsistent, hence it can perform useful reasoning services in the presence of inconsistencies and incompleteness. We define the abstract syntax and semantics of BOWL by extending those of OWL. We have proposed reasoning algorithms for various reasoning tasks in the BOWL framework and we have implemented the algorithms using the constraint logic programming framework. One example in the sensor fusion domain is presented to demonstrate the application of BOWL.
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    Journal Title
    Innovations in Systems and Software Engineering
    Volume
    11
    Issue
    3
    DOI
    https://doi.org/10.1007/s11334-015-0243-9
    Copyright Statement
    © 2015 Springer London. This is an electronic version of an article published in Innovations in Systems and Software Engineering, Volume 11, Issue 3, pp 203–215, 2015. Innovations in Systems and Software Engineering is available online at: http://link.springer.com/ with the open URL of your article.
    Subject
    Software engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/172881
    Collection
    • Journal articles

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