Adaptive retrieval of semi-structured data

Yosi Ben-Asher, Shlomo Berkovsky, Paolo Busetta, Yaniv Eytani, Sadek Jbara, Tsvi Kuflik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationAdaptive Hypermedia and Adaptive Web-Based Systems - 5th International Conference, AH 2008, Proceedings
Number of pages10
StatePublished - 2008
Event5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2008 - Hannover, Germany
Duration: 29 Jul 20081 Aug 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5149 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2008

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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