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| Author(s): |
Jacqueline Midlej do Espírito Santo
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Instituto de Computação |
| Defense date: | 2015-06-07 |
| Examining board members: |
Claudia Maria Bauzer Medeiros;
Hilda Carvalho de Oliveira;
André Santanchè
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| Advisor: | Claudia Maria Bauzer Medeiros |
| Abstract | |
Biodiversity applications require a large variety of environmental data at multiple scales. It involves a huge amount of data from heterogeneous sources, in which sensor data streams are one of the main sources. An open problem in this context is how to specify and detect scenarios of interest from environmental variables, at multiple scales, to help scientists analyze phenomena and correlate results with data collected on the field. To help solve the problem, this dissertation is based on the theory of Complex Event Processing (CEP) to allow scientists to specify scenarios using patterns and detecting the occurrence of the scenario in real time. In the CEP literature, data are treated as events and patterns are described by event specifications and their relationships with each other. Event specification languages, however, do not support spatial aspects (which is essential in biodiversity applications) and neither do they contemplate complex composition operators. Given this context, this dissertation proposes a logic-based language to help scientists specify scenarios of interest. These scenarios are based in complex event composition. The main contributions are: proposal of a software architecture of a framework to detect complex events, extending the work of Koga 2013; a data model to represent events in biodiversity scenarios; and a language to specify event patterns in a hierarchical manner, exploring spatial and temporal relationships across events in many abstraction levels (AU) | |
| FAPESP's process: | 13/02269-7 - NavScales: navigating through scales in space, time and domains of knowledge |
| Grantee: | Jacqueline Midlej Do Espírito Santo |
| Support Opportunities: | Scholarships in Brazil - Master |