These inferences can, in turn, allow users to obtain search results from the portal that are impossible to obtain from conventional retrieval systems. For example, video include properties to identify length of the clip and scene breaks. It is separate challenge to minimize this effort and an ontology language will be used to index these documents and provide better means of retrieval. The section on Requirements presents set of features that should be in the language and gives motivations for those features.
As such, one should not assume that OWL will directly support every aspect of the use cases that the working group if possible, but the group decide that there are good reasons for excluding them from the language or for leaving them to be implemented by later working group. However, this has the drawback that incorrect definitions cannot be retracted. In this way, they make that knowledge reusable. Ontologies are critical for applications that want to search across or merge information from diverse communities.
For example, an ontology might include terminology such as journal paper, publication, person, and author. This ontology could include definitions that state things such as all journal papers are publications or the authors of all publications are people. When combined with facts, these definitions allow other facts that are necessarily true to be inferred. Such technique relies on content providers using the web ontology language which can formally describe the semantics of classes and properties used in web documents.
The Objectives section describes list of features that should be
To integrate the two ontologies, one would need to specify that the Person and Car classes are disjoint, or that string quartet has exactly four musicians as members. Ontologies can be used to describe the characteristics of devices, the means of access to such devices, the policy established by the owner for use of device, and other technical constraints and requirements that affect incorporating device into ubiquitous computing network.
The Semantic Web will build on XMLs ability to define customized tagging schemes and RDFs flexible approach to representing data It would also be useful if the ontology could express definitional knowledge. specific example is that of social activities planner, which can take the preferences of user such as what kinds of films they like, what kind of food they like to etc. and use this information to plan the users activities for an evening. For example, an ontology might include terminology such as journal paper, publication, person, and author.
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