Adaptive Retrieval of Semi-structured Data

Authors:
Yosi Ben-Asher;Shlomo Berkovsky;Paolo Busetta;Yaniv Eytani;Sadek Jbara;Tsvi Kuflik
Affiliations:
University of Haifa, Haifa, Israel;University of Haifa, Haifa, Israel;ITC-irst, Trento, Italy;University of Illinois at Urbana-Champaign, Illinois, USA;University of Haifa, Haifa, Israel;University of Haifa, Haifa, Israel
Venue:
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2008

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Abstract

The rapidly growing amount of heterogeneous semi-structured data available on the Web is creating a need for simple and universal access methods. For this purpose, we propose exploiting the notion of UNSpecified Ontology (UNSO), where the data objects are described using a list of attributes and their values. To facilitate efficient management of UNSO data objects, we use LoudVoice, a multi-agent channeled multicast communication platform, where each attribute is assigned a designated communication channel. This allows efficient searches to be performed by querying only the relevant channels, and aggregating the partial results. We implemented a prototype system and experimented with a corpus of real-life E-Commerce advertisements. The results demonstrate that the proposed approach yields a high level of accuracy and scalability.