Heuristics-Based Semantic Annotation for Deep Web Query Results

Provided by: Binary Information Press
Topic: Data Management
Format: PDF
Deep Web data is encoded in HTML pages through query-processing, the structural information of database mode is completely lost. In addition, current query-results are only for human browsing. For a higher use value of query-results, they must be understandable and process-able for machines. Deep Web semantic annotation aims to add correct semantic to query-results, which enables the computer understand and process these data. This paper proposes a heuristics-based semantic annotation method. According to the characteristic analysis of interface page and result page, this paper summarizes some heuristic information.

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