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Browsing by Author "Camossi, Elena"

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Adaptive management of multigranular spatio-temporal object attributes

Camossi, Elena ; Bertino, Elisa ; Guerrini, Giovanna ; Bertolotto, Michela (Springer-Verlag, 2009)

In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. In this paper we define ST2 ODMGe, a multigranular spatio-temporal ...
Adaptive management of multigranular spatio-temporal object attributes

Camossi, Elena ; Bertino, Elisa ; Guerrini, Giovanna ; Bertolotto, Michela (Purdue University. Center for Education and Research in Information Assurance and Security, 2009-04-08)

In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. To address such a problem, in this paper we define ST2 ODMGe, a ...
Attribute refinement in a multigranular temporal object data model

Bertino, Elisa ; Camossi, Elena ; Guerrini, Giovanna (Purdue University. Center for Education and Research in Information Assurance and Security, 2009-06)

Temporal granularities are the unit of measure for temporal data, thus a multigranular temporal object model allows to store temporal data at different levels of detail, according to the needs of the application domain. ...
Context enabled semantic granularity

Albertoni, Riccardo ; Camossi, Elena ; De Martino, Monica ; Giannini, Franca ; Monti, Marina (Springer-Verlag, 2008-09-05)

In this paper we propose a powerful ontology driven method that eases the browsing of any repository of information resources described by an ontology: we provide a flexible semantic granularity method for the navigation ...
Contexts as explicit parameterization of ontology driven methods

Albertoni, Riccardo ; Camossi, Elena ; De Martino, Monica ; Giannini, Franca ; Monti, Marina (Consiglio Nazionale delle Ricerche. Istituto di Matematica Applicata e Tecnologie Informatiche, 2007)

In the recent Computer Science literature, contexts have been proposed mainly to formalize context dependent background knowledge. In this paper we discuss the importance of the application of contexts as explicit ...
Mining Spatio-temporal Data at Different Levels of Detail

Camossi, Elena ; Bertolotto, Michela ; Kechadi, Tahar (Springer-Verlag, 2008-05-08)

In this paper we propose a methodology for mining very large spatio-temporal datasets. We propose a two-pass strategy for mining and manipulating spatio-temporal datasets at different levels of detail (i.e., granularities). ...
Multigranular spatio-temporal models : implementation challenges

Camossi, Elena ; Bertolotto, Michela ; Bertino, Elisa (Association for Computing Machinery (ACM), 2008-11-07)

Multiple granularities provide an essential support for extracting significant knowledge from spatio-temporal datasets at different levels of details. They enable to zoom-in and zoom-out spatio-temporal datasets, thus ...
Multi-granular spatio-temporal object models : concepts and research directions

Bertino, Elisa ; Camossi, Elena ; Bertolotto, Michela (Springer, 2009-07-03)

The capability of representing spatio-temporal objects is fundamental when analysing and monitoring the changes in the spatial configuration of a geographical area over a period of time. An important requirement when ...
Ontology driven certification of pressure equipments

Camossi, Elena ; Giannini, Franca ; Monti, Marina ; Bragatto, Paolo ; Pittiglio, Paolo ; Ansaldi, Silvia (Wiley, 2008-12)

Standards and engineering codes rule design, construction and operation of chemical plant equipments to ensure reliability and safety. In this paper, we exploit knowledge-based methodologies and technologies to guarantee ...
A product design ontology for enhancing shape processing in design workflows

Catalano, Chiara E. ; Camossi, Elena ; Ferrandes, Rosalinda ; Cheutet, Vincent ; Sevilmis, Neyir (Springer, 2009-10)

Effective and efficient information management and knowledge sharing has become an essential part of more and more professional tasks in the Product Development Process. Among the varius Knowledge Management technologies, ...
Querying Multigranular Spatio-temporal Objects

Camossi, Elena ; Bertolotto, Michela ; Bertino, Elisa (Springer-Verlag, 2008-09-05)

The integrated management of both spatial and temporal components of information is crucial in order to extract significant knowledge from datasets concerning phenomena of interest to a large variety of applications. ...
Spatio-temporal multi-granularity : modelling and implementation challenges

Camossi, Elena ; Bertolotto, Michela ; Bertino, Elisa (University College Dublin. School of Computer Science and Informatics, 2009-08)

Multiple spatial and temporal granularities are essential to extract significant knowledge from datasets at different levels of detail: they enable to zoom-in and zoom-out a dataset, enhancing the data modelling flexibility ...