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Auflistung nach Autor:in "Villa, Ferdinando"

1 - 2 von 2
  • Konferenzbeitrag
    Delivering Environmental Knowledge: a Semantic Approach
    (Environmental Informatics and Systems Research, 2007) Rizzoli, Andrea E.; Athanasiadis, Ioannis N.; Villa, Ferdinando
    Environmental informatics delivers techniques and tools for archiving and processing environmental data. The advent of the Internet had positively affected the availability and ease of access to large and diverse environmental databases, distributed all over the world. On the other hand, similar progress has not been matched by the availability of models and algorithms able to process these data, mostly because of the lack of standards in the annotation of the characteristics of environmental models. In this paper we advocate the need for the semantic annotation of environmental “knowledge”, encompassing models and data. The slow, but steady, introduction of the Semantic Web and the widespread use of ontologies for semantic annotation will allow environmental informatics to cover the gap in the access and usability of models and algorithms for environmental data processing.
  • Konferenzbeitrag
    Towards a semantic framework for wildlife modeling
    (Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Athanasiadis, Ioannis N.; Villa, Ferdinando; Examiliotou, Georgina; Iliopoulos, Yorgos; Mertzanis, Yorgos
    In this paper we present work in progress for developing a semantic modeling system for wildlife monitoring, management and conservation. Based on a Greek NGO experience in large carnivores conservation in the mountain ecosystems of northern Greece, we present a generic architecture for wildlife information fusion, sharing and reuse. Our framework employs ontologies for representing the key domain concepts and their relationships, and applies them for integrating sensory information from GPS/GSM animal tracking devices, along with other field data and habitat suitability models.