An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology (Articolo in rivista)

Type
Label
  • An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s10707-006-0016-6 (literal)
Alternative label
  • A. Raffaetà; T. Ceccarelli; D. Centeno; F. Giannotti; A. Massolo; C. Parent; C. Renso; S. Spaccapietra; F. Turini (2008)
    An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology
    in Geoinformatica an international journal
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • A. Raffaetà; T. Ceccarelli; D. Centeno; F. Giannotti; A. Massolo; C. Parent; C. Renso; S. Spaccapietra; F. Turini (literal)
Pagina inizio
  • 37 (literal)
Pagina fine
  • 72 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dl.acm.org/citation.cfm?id=1344764&CFID=108113632&CFTOKEN=57392332 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 12 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Dipartimento di Informatica, Università Ca' Foscari di Venezia, Venezia, Italy CNR-ISTI, Pisa EPFL, Lausanne, Switzerland CNR-ISTI, Pisa Dipartimento di Scienze Ambientali, Università di Siena, Siena, Italy Université de Lausanne, Lausanne, Switzerland CNR-ISTI, Pisa EPFL, Lausanne, Switzerland CNR-ISTI, Pisa - Dipartimento di Informatica, Università di Pisa, Pisa, Italy (literal)
Titolo
  • An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology (literal)
Abstract
  • There is great potential for the development of many new applications using data on mobile objects and mobile regions. To promote these kinds of appli- cations advanced data management techniques for the representation and analysis of mobility-related data are needed. Together with application experts (behavioural ecologists), we investigate how two novel data management approaches may help. We focus on a case study concerning the analysis of fauna behaviour, in particular crested porcupines, which represents a typical example of mobile object monitoring. The first technique we experiment with is a recently developed conceptual spatio- temporal data modelling approach, MADS. This is used to model the schema of the database suited to our case study. Relying on this first outcome a subset of the problem is represented in the logical language MuTACLP. This allows us to formalise and solve the queries which enable the behavioural ecologists to derive crested porcupines behaviour from the raw data on animal movements. Finally, we investigate the support from a commercial Geographic Information System (GIS) (literal)
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