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Continuous RQL Query Processing on top of DHTs Iris Miliaraki Supervisor: Manolis Koubarakis

Continuous RQL Query Processing on top of DHTs Iris Miliaraki Supervisor: Manolis Koubarakis Dept. of Informatics and Telecommunications University of Athens.

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Continuous RQL Query Processing on top of DHTs Iris Miliaraki Supervisor: Manolis Koubarakis

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  1. Continuous RQL Query Processing on top of DHTs Iris Miliaraki Supervisor: Manolis Koubarakis Dept. of Informatics and Telecommunications University of Athens • A subscriber submits a profile or a continuous querydescribing the resources that interest him, e.g. papers that he is interested in. • A publisher publishes resources providing a description of them, e.g. academic papers. • Some middleware is used for matching profiles and resource descriptions and notifies subscribers when a resource arrives that matches their profile. 1. Publish/Subscribe scenario Problem How to match efficiently profiles and resource descriptions? Goal Design a middleware that will provide efficient and scalable matching 2. Our work • Resources are described using the XML or RDF data model. • Profiles are written using a query language like XPath or RQL. • A peer-to-peer network is used as middleware for matching profiles against descriptions. Research Problem How to match efficiently profiles written using XPath or RQL and XML or RDF resource descriptions on top of a P2P network? Research goal Design algorithms for providing efficient and scalable matching between XML or RDF descriptions and XPath or RQL queries on top of a P2P network 3. Distributed hash tables 4. Research status and next steps • Current focus is on path queries in both XPath and RQL. • Ongoing work will be submitted to international conference. • Future work on other classes of queries. 5. Related work • Work done previously from our group for conjunctive triple-pattern RQL queries (subset of RQL). • Work on closely-related areas like Information retrieval. • Work on XML filtering in a centralized manner.

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