Publication statistics

Pub. period:1997-2007
Pub. count:4
Number of co-authors:6


Number of publications with 3 favourite co-authors:

Stefano Paraboschi:
Mauro Cadei:
Yoseba K. Penya:



Productive colleagues

Paolo Salvaneschi's 3 most productive colleagues in number of publications:

Marco Lazzari:9
Stefano Paraboschi:8
Mauro Cadei:1

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Paolo Salvaneschi


Publications by Paolo Salvaneschi (bibliography)

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Bringas, Pablo Garcia, Penya, Yoseba K., Paraboschi, Stefano and Salvaneschi, Paolo (2007): Bayesian-Networks-Based Misuse and Anomaly Prevention System. In: Cordeiro, Jos and Filipe, Joaquim (eds.) ICEIS 2008 - Proceedings of the Tenth International Conference on Enterprise Information Systems Volume AIDSS June 12-16, 2007, Barcelona, Spain. pp. 62-69.

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Salvaneschi, Paolo, Spinelli, Andrea and Lazzari, Marco (2001): SITUS - a web based information system for archaeological sites. In: International Cultural Heritage Informatics Meeting - Proceedings from ICHIM 01 September 3-7, 2001, Milan, Italy. pp. 529-541.

The paper presents the results of the project CORARC, funded by the Italian Ministry for University and Scientific Research, aimed at developing a Web based system, called SITUS, to support the management of information for archaeological sites. Thc system supports, through a relational database and a GIS server, the archival and management of multimedia and cartographic data coming from a study of an archaeological site, and provides support functions for specialists. The scalable architecture runs on a variety of configurations, from portable computers to a network with a data server and specialised clients for data acquisition and management, simulation, and modelling. The architecture is fully Web based over Intranet/lnternet and the standard client rcquircs only the availability of a browser. The application is designed to manage a large spectrum of archaeological sites (from small excavation campaigns to large sites) and has been validated both in the global context of the archaeological site at Pompeii and for a specific excavation campaign in the area of Pompeii.

© All rights reserved Salvaneschi et al. and/or their publisher

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Lazzari, Marco and Salvaneschi, Paolo (1999): Embedding a geographic information system in a decision support system for landslide hazard monitoring. In International Journal of Natural Hazards, 20 (2) pp. 185-195.

In this paper we present an application that exploits a geographic information system as a front-end of a complex information system supporting the management of landslide hazard in Valtellina, an alpine valley in Northern Italy. A decision support system (EYDENET, operational since October 1996), incorporating a geographic information system and a data interpreter based on artificial intelligence techniques, processes the readings of the 250 most significant instruments of a monitoring net of about 1000 sensors installed on different landslides in several alpine valleys. Data gathered by extensometers, clinometers and pluviometers, to check both movements of rocks and climatic conditions which could affect them, are processed by EYDENET, that provides on-line interpretation of data, helps the users analyse them, and generates natural language explanations and alarm messages for the people responsible for the environmental management and the civil protection.

© All rights reserved Lazzari and Salvaneschi and/or their publisher

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Salvaneschi, Paolo, Cadei, Mauro and Lazzari, Marco (1997): A causal modelling framework for the simulation and explanation of the behaviour of structures. In Artificial Intelligence in Engineering, 11 (3) pp. 205-216.

An approach to the modelling of systems in civil engineering is presented. It allows the integration of quantitative relations in a qualitative causal framework which uses objects and Petri nets to represent the device and process ontologies. This approach supports the modelling and simulation of the behaviour of a physical system and causal explanations of it. The explanations are customisable depending on the needs of different users. The approach is shown by modelling the seismic behaviour of a masonry building, simulating it and generating causal explanations tailored for the needs of different users. An example application is presented through IGOR, a decision support system for seismic assessment of buildings and planning of precautionary operations.

© All rights reserved Salvaneschi et al. and/or Elsevier

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