L ARGE-SCALE WEB SEARCH engines effectively retrieve entire documents, but they are imprecise, because they do not exploit and hence retrieve the semantic Web document content. We cannot automatically extract such content from general documents yet. Manually structuring Web documents— for example, with XML—lets us retrieve more precise information using stringand structure-matching tools, such ...

The exponential growth of the World Wide Web has made it the most popular information dissemination tool in the world. The growth necessitates caching, prefetching, and replication schemes on the web to alleviate the web server load, conserve the network band-width, and reduce the retrieval latency. At the same time, cache consistency should be maintained to avoid returning stale pages to users...

the aim of this study was to qualitatively analyze iran scientific products of physical education and sport sciences in isi journals. it investigated iran scientific products in physical education and sport sciences based on a range of topics including researchers' collaboration with domestic universities and at the international level, the publication pattern of authors, subjects and the ...

With the recent popularity of the web, enormous amount of information is now available on line. Most web documents available over the web are in HTML format and are hierarchically structured in nature. How to query such web documents based on their internal hierarchical structure becomes more and more important. In this paper, we present a rule-based language called WebQL to support effective a...

The large amount and heterogeneity of XML documents on the Web requires the development of clustering techniques to group together similar documents. Documents can be grouped together according to their content, their structure, and the links inside and among the documents. For instance, grouping together documents with similar structure has interesting applications in the context of informatio...