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Combining structure search and content search for the World-Wide Web

When searching information in the World-Wide Web (WWW), the currently available search engines typically return too many irrelevant addresses to their users. This is a deep and many-faceted issue and very hard to be generally solved. One of the current problems involved is that these search engines focus on content search and not on structure search as investigated in hypertext research. A prerequisite of full-fledged structure search would be that links are firstclass objects. This is obviously not the case for the representation of links in the WWW. So, we introduce a rudimentary form of structure search that is based upon content search. In our application of this approach to searching the WWW, we combine this kind of structure search with content search in a meta-search engine. In this way, we are able to reduce the number of irrelevant addresses returned. As a consequence, we propose this approach for searching the World-Wide Web.