@inproceedings{119342a8c97c4864957480e597e9cde7,
title = "Adaptive retrieval of semi-structured data",
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.",
author = "Yosi Ben-Asher and Shlomo Berkovsky and Paolo Busetta and Yaniv Eytani and Sadek Jbara and Tsvi Kuflik",
year = "2008",
doi = "10.1007/978-3-540-70987-9_6",
language = "English",
isbn = "9783540709848",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "32--41",
editor = "Wolfgang Nejdl and Judy Kay and Pearl Pu and Eelco Herder",
booktitle = "Adaptive Hypermedia and Adaptive Web-Based Systems",
address = "United States",
}