Most of the textual information posted on the Web are in documents which conform to the HTML [12] or recently emerging XML [4] specification. In the past, a number of query languages have been proposed for querying data inWeb documents.We notice that these query languages are incapable of inferring hierarchically structured data from linked Web documents as well as within a Web document itself. In this paper, we propose a logic-based query language, called SemiLog, for retrieving data in Web documents that are hierarchically structured. SemiLog is capable of handling recursive queries, which infer data that are not explicitly presented in hierarchically structured Web documents, and processing partial knowledge of data in Web documents with irregular structure to answer a given query.
CITATION STYLE
Lim, S. J., & Ng, Y. K. (1999). Semilog: A logic-based query language for hierarchical data in web documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1749, pp. 109–121). Springer Verlag. https://doi.org/10.1007/978-3-540-46652-9_11
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