A translation approach to portable ontology specifications
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Managing gigabytes (2nd ed.): compressing and indexing documents and images
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The VLDB Journal — The International Journal on Very Large Data Bases
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WWW '03 Proceedings of the 12th international conference on World Wide Web
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Automatic ontology matching using application semantics
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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Adaptive Retrieval of Semi-structured Data
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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Amounts of available heterogeneous semi-structured data grow rapidly on the Web and other data repositories. This raises the need to provide simple and universal ways to access this data. To provide such an interface, we propose to exploit the notion of "unspecified ontologies", describing the data objects as a list of attributes and their respective values. In order to facilitate an efficient management of the unspecified data objects we use a multi-agent channeled multicast communication platform. The data objects are stored distributively, such that each attribute is assigned a designated channel. This allows performing efficient searches by parallel querying of the relevant channels only, and aggregating the partial results. Moreover, the multi-agent platform facilitates advanced data management through extracting metadata from the data objects. We implemented a prototype system and experimented with a corpus of real-life E-Commerce advertisements. Our results demonstrate scalability of the proposed approach and the accuracy of the extracted meta-data.