TURAMBAR: An Approach to Deal with Uncertainty in Semantic Environments

Ausín, David; Castanedo, Federico; López-de-Ipiña, Diego

doi:10.1007/978-3-642-35395-6_45

Cited by 3 publications

(1 citation statement)

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“…The T2FO consists of T2F personal ontology, T2F food ontology, and T2F personal food ontology. Ausin et al [28] presented an approach called TURAMBAR to interfuse OWL2 reasoning and expressibility power by using Bayesian networks to overcome the well-known limitations of OWL.…”

Section: State Of the Artmentioning

confidence: 99%

Data of SemanticWeb as Unit of Knowledge

Patel

Jain

Shandilya

2019

JWE

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In service to the state of the art, advances are required toward redesigning the framework over which web applications are built. The semantic web lies at the intersection of web and machine understandable meaningful data, turning it into intelligent 'web of data'. The key requirement with any intelligent system has been to find a concrete knowledge representation that can make the inferences within time and space constraints; that is, reasoning effectively and efficiently within the resource constraints posed to the problem at one hand and with insufficient data as well as incomplete knowledge on the other hand. Various Knowledge representation schemes have been proposed in the literature, each having its limitation over the others. Ontology is the key component for semantic web engineering. Ontologies are conceptual knowledge bases providing a systematic and taxonomical description of the concepts and instances under consideration. Conceptual clarity in the computational representation of a concept is vital for holistic thinking and knowledge engineering. In order to meet the needs of an application/enterprise, knowledge should be presented taking care of all possible perspectives; and represented in a hierarchical structure with differing levels of granularity. This paper discusses about bringing all the manifestations of an ontological

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Section: State Of the Artmentioning

confidence: 99%