Publication statistics

Pub. period:2004-2006
Pub. count:4
Number of co-authors:10



Co-authors

Number of publications with 3 favourite co-authors:

Thomas Eiter:2
Vincenzino Lio:2
Hans Tompits:2

 

 

Productive colleagues

Giovambattista Ianni's 3 most productive colleagues in number of publications:

Vincenzino Lio:2
Luigi Palopoli:2
Stefania Galizia:2
 
 
 

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Giovambattista Ianni

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Publications by Giovambattista Ianni (bibliography)

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2006
 
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Eiter, Thomas, Ianni, Giovambattista, Schindlauer, Roman, Tompits, Hans and Wang, Kewen (2006): Forgetting in Managing Rules and Ontologies. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 411-419.

 
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Greco, Gianluigi, Ianni, Giovambattista, Lio, Vincenzino and Palopoli, Luigi (2006): Protection Techniques from Information Extraction. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 1029-1033.

 
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Eiter, Thomas, Ianni, Giovambattista, Schindlauer, Roman and Tompits, Hans (2006): dlvhex: A Prover for Semantic-Web Reasoning under the Answer-Set Semantics. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 1073-1074.

2004
 
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Ianni, Giovambattista, Ricca, Francesco, Calimeri, Francesco, Lio, Vincenzino and Galizia, Stefania (2004): An agent system reasoning about the web and the user. In: Proceedings of the 2004 International Conference on the World Wide Web 2004. pp. 492-493.

The paper describes some innovations related to the ongoing work on the GSA prototype, an integrated information retrieval agent. In order to improve the original system effectiveness, we propose the GSA{sub:2} system, introducing a new internal architecture based on a message-passing framework and on an ontology description formalism (WOLF, Web ontology Framework). GSA{sub:2} is conceived in order to describe and easily perform reasoning on "facts about the web and the user". The most innovative aspect of the project is its customizable and flexible reasoning system, based on Answer Set Programming it plays the role of the central decision making module, and allows the Agent to take proactive decisions. The introduction of a logic language allows one to describe, program and plan behaviors of the Agent easily and quickly, and to experiment with a large variety of Information Retrieval strategies. Both the System Architecture and WOLF are general and reusable, and the result constitutes a good example of real implementation of agents based on logics.

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