By Carson Woo (auth.), Manfred Jeusfeld, Lois Delcambre, Tok-Wang Ling (eds.)
This publication constitutes the refereed court cases of the thirtieth overseas convention on Conceptual Modeling, ER 2011, held in Brussels, Belgium, in October/November 2011. The 25 revised complete papers offered including 14 brief papers and 3 keynotes have been conscientiously reviewed and chosen from 157 submissions. The papers are prepared in topical sections on modeling pursuits and compliance; human and socio-technical elements; ontologies; info version idea; version improvement and maintainability; person interfaces and software program type; evolution, propagation and refinement; UML and necessities modeling; perspectives, queries and seek; specifications and company intelligence; MDA and ontology-based modeling; approach modeling; panels.
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Extra info for Conceptual Modeling – ER 2011: 30th International Conference, ER 2011, Brussels, Belgium, October 31 - November 3, 2011. Proceedings
7] undertook a study of the literature on data mining and visual analysis dealing with movement data and extracted definitions of various movement behaviors, most of which refer to behaviors of groups of moving objects. The extracted types of behaviors have been organized in an informal taxonomy. Their classification is based on the spatial and temporal characteristics of the trajectories with no semantic annotation. It provides intuitive rather than formal definitions and classification. The authors have also set up a web site where interested researchers can contribute to the further development of the taxonomy (http:// movementpatterns.
All combinations are possible. 4 Spatial / Temporal / Spatio-Temporal / Semantic Behaviors Different views on the characteristics of trajectories lead to different categorizations of their behaviors. Following the definition of trajectory in Section 3, trajectory characteristics include spatio-temporal positions, annotations (at various levels) and interpretations consisting of episodes. The latter is clearly semantic, applicationdriven information. The former, positions, is by definition spatio-temporal information, offering the possibility of considering space and time separately or together, as needed.
3. 6. 7. 8 suggests a categorization of research concerns about trajectory behaviors. 1 Introducing Trajectory Behaviors and Their Identification There are many ways to use trajectory data. The simplest one is by querying the data to find mobility facts about some moving object. For example, the tracking database of an express delivery company allows customers to find out where their shipment is at any point in time. Similarly, relatives of airline passengers can ask when a given flight departed and when it arrived.