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Stefano Spaccapietra

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  122
Citations -  5227

Stefano Spaccapietra is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Data modeling & Conceptual model. The author has an hindex of 34, co-authored 122 publications receiving 5065 citations. Previous affiliations of Stefano Spaccapietra include École Polytechnique.

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A conceptual view on trajectories

TL;DR: This paper explores how conceptual modeling could provide applications with direct support of trajectories (i.e. movement data that is structured into countable semantic units) as a first class concept and proposes two modeling approaches based on a design pattern and a dedicated data types.
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Semantic trajectories modeling and analysis

TL;DR: A survey of the approaches and techniques for constructing trajectories from movement tracks, enriching trajectories with semantic information to enable the desired interpretations of movements, and using data mining to analyze semantic trajectories to extract knowledge about their characteristics.
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Model independent assertions for integration of heterogeneous schemas

TL;DR: This paper investigates theassertion-based approach, in which the DBA's action is limited to pointing out corresponding elements in the schemas and to defining the nature of the correspondence in between, which is capable of ensuring better integration by taking into account additional semantic information.
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Issues and approaches of database integration

TL;DR: This paper is devoted to database integration, possibly the most critical issue and is to provide a clear picture of what are the approaches and the current solutions and what remains to be achieved.
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Spatio-temporal conceptual models: data structures + space + time

TL;DR: This paper proposes a spatio-temporal modeling approach at the conceptual level, called MADS, which focuses on highlighting similarities in the modeling of space and time, which enhance readability and understandability of the model.