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The Web in Ten Years: Challenges and Opportunities for Database Research

In order to evolve into a dependable and ubiquitous information infrastructure, the World Wide Web needs comprehensive quality, performance, and availability guarantees for all kinds of E-services including search engines. To improve the search result quality of search engines and to exploit the Web’s potential as a world-wide knowledge base, intensive research efforts are required that center around the role of the XML document standard. By itself XML is merely syntax, but its momentum for providing semantically meaningful annotations and, to some extent, standardizing domain-specific ontologies provides opportunities toward the widely envisioned ”Semantic Web”. At the same time, the ongoing information explosion in terms of volume and diversity require support for relevance ranking and automatic classification in addition to ontology-based searching. This paper discusses promising research directions along these lines, aiming at the integration of and synergies between database, information retrieval, and machine learning techniques. In particular, the paper sketches the XXL search engine for XML data and the BINGO! focused crawler, both developed at the University of the Saarland.