Uncertainty Reasoning for the Semantic Web
نویسنده
چکیده
Partial knowledge about geospatial categories is critical for knowledge modelling in the geospatial domain but is beyond the scope of conventional ontologies. Degree of overlaps between geospatial categories, especially those based on geospatial actions concepts and geospatial enitity concepts need to be specified in ontologies. We present an approach to encode probabilistic information in geospatial ontologies based on the BayesOWL approach. This paper presents a case study of using road network ontologies. Inferences within the probabilistic ontologies are discussed along with inferences across ontologies using common concepts of geospatial actions within each ontology. The results of machine-based mappings produced are verified with human generated mappings of concepts.
منابع مشابه
Learning and Reasoning about Uncertainty in the Semantic Web
The main idea behind the Semantic Web is the representation of knowledge in an explicit and formal way. This is done using ontology representation languages as OWL, which is based on Description Logics and other logic formalisms. One of the main objectives with this kind of knowledge representation is that it can then be used for reasoning. But the way reasoning is done in the Semantic Web tech...
متن کاملProceedings Template - WORD
Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach to learn and reason about uncertainty in the Semantic Web. Using instance data, we learn the uncertainty of an OWL ontology, and use that information to perform probabilistic reasoning on it. For this purpose, we use Ma...
متن کاملDealing with Uncertainty in the Semantic Web
Standardizing the Semantic Web is still an ongoing process. For some aspects, the standardization seems to have completed. For example, the syntax layer, the RDF data model layer and the RDFS and OWL semantic extensions have proven to fulfill their purpose in real world applications. Other aspects, while necessary to realize the greater ideal of the Semantic Web, are yet to be standardized. One...
متن کاملProviding an Uncertainty Reasoning Service for Semantic Web Application
In the semantic web context,the formal representation of knowledge is not resourceful while the informal one with uncertainty prevails. In order to provide an uncertainty reasoning service for semantic web applications, we propose a probabilistic extension of Description Logic, namely Probabilistic Description Logic Program (PDLP). In this paper, we introduce the syntax and intensional semantic...
متن کاملManaging uncertainty and vagueness in description logics for the Semantic Web
Ontologies play a crucial role in the development of the Semantic Web as a means for defining shared terms in web resources. They are formulated in web ontology languages, which are based on expressive description logics. Significant research efforts in the semantic web community are recently directed towards representing and reasoning with uncertainty and vagueness in ontologies for the Semant...
متن کاملTrustworthiness-related Uncertainty of Semantic Web-style Metadata: A Possibilistic Approach
We discuss the specific type of uncertainty deriving from the non-uniform trustworthiness of Semantic Web style metadata sources, arguing toward the feasibility of modal possibilistic reasoning based on trust assertions expressing such uncertainty.
متن کامل