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Enhancing XML Information Retrieval Systems for Real Users

This paper explores bridging the gap between traditional databases and information retrieval systems for more user-friendly XML-based systems. It discusses top-k evaluation of NEXI/XPath full text queries, specialized indexes with redundancy, and achieving sub-second response times for real-life workloads. The paper also delves into scoring functions, high-quality results, and the importance of a reasonable user interface. Furthermore, it addresses the need for intelligent user interfaces, interactive integration of user feedback, and proactive query expansion in XML IR systems. Lastly, it examines new trends such as multimodal retrieval by combining textual, multimedia, and metadata data, and challenges in distributed retrieval in P2P and social networks.

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Enhancing XML Information Retrieval Systems for Real Users

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  1. Ralf Schenkel Making XML IR Systems Usable

  2. TopX: Bridging the DB&IR Gap Combining DBish… • top-k evaluation of NEXI/XPath FullText • specialized indexes with redundancy • sub-second answer time for real-life workloads … and IRish aspects • scoring function with some theoretic foundation • high-quality results (in benchmarks and real life) • reasonable user interface

  3. Towards XML IR for Real Users NEXI/XPath/XQuery: No languages for users Need for intelligent user interfaces for query formulation and refinement Interactive integration of user feedback (within zero time) • Sources for explicit and implicit feedback • Maintaining a user model • Proactive query expansion and evaluation

  4. New Trends, New Challenges • Multimodal Retrieval: Combine • textual data (text, XML) • multimedia data (images, video, music) • metadata (XML, RDF) • Distributed Retrieval: • XML-IR in P2P networks • XML-IR in Social networks

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