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Web ontologies provide shared concepts for describing domain entities and thus enable semantic interoperability between applications. To facilitate concept sharing and ontology reusing, we developed Falcons Concept Search, a novel keyword-based ontology search engine. In this paper, we illustrate how the proposed mode
based on keyword indexing, there are many records in their result lists that are irrelevant to the user's information needs. It is shown that for retrieving more relevant and precise results, the following two points should be concerned: First of all, the query (either it is generated by a human or an intelligent agent
use of the system. The soccer videos are very suitable for our framework, since it is easy to find Web-cast match reports for soccer games. The annotated videos are stored in MPEG-7 format in an object-oriented database. The keyword-based indexing allows fast retrieval of video segments. The system accepts match reports
Concept-based information retrieval offers a higher abstraction level than the classical keyword-based approach. A multilingual terminology makes possible language-independent indexing and querying. The conceptual structure with its associated terminology is called an ontology. This paper describes a methodology to
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.