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 proceeding 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
Subtitle of host publication5th International Conference, AH 2008. Proceedings
EditorsWolfgang Nejdl, Judy Kay, Pearl Pu, Eelco Herder
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Number of pages10
ISBN (Electronic)9783540709879
ISBN (Print)9783540709848
Publication statusPublished - 2008
Externally publishedYes
Event5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2008 - Hannover, Germany
Duration: 29 Jul 20081 Sept 2008

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


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


Dive into the research topics of 'Adaptive retrieval of semi-structured data'. Together they form a unique fingerprint.

Cite this