Knowledge-based spatiotemporal linear abstraction

Shahar, Yuval y Molina, Martin (1998). Knowledge-based spatiotemporal linear abstraction. "Pattern Analysis and Applications" ;

Descripción

Título: Knowledge-based spatiotemporal linear abstraction
Autor/es:
  • Shahar, Yuval
  • Molina, Martin
Tipo de Documento: Artículo
Título de Revista/Publicación: Pattern Analysis and Applications
Fecha: 1998
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Ninguna

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Resumen

We present a theoretical framework and a case study for reusing the same conceptual and computational methodology for both temporal abstraction and linear (unidimensional) space abstraction, in a domain (evaluation of traffic-control actions) significantly different from the one (clinical medicine) in which the method was originally used. The method, known as knowledge-based temporal abstraction, abstracts high-level concepts and patterns from time-stamped raw data using a formal theory of domain-specific temporal-abstraction knowledge. We applied this method, originally used to interpret time-oriented clinical data, to the domain of traffic control, in which the monitoring task requires linear pattern matching along both space and time. First, we reused the method for creation of unidimensional spatial abstractions over highways, given sensor measurements along each highway measured at the same time point. Second, we reused the method to create temporal abstractions of the traffic behavior, for the same space segments, but during consecutive time points. We defined the corresponding temporal-abstraction and spatial-abstraction domain-specific knowledge. Our results suggest that (1) the knowledge-based temporal-abstraction method is reusable over time and unidimensional space as well as over significantly different domains; (2) the method can be generalized into a knowledge-based linear-abstraction method, which solves tasks requiring abstraction of data along any linear distance measure; and (3) a spatiotemporal-abstraction method can be assembled from two copies of the generalized method and a spatial-decomposition mechanism, and is applicable to tasks requiring abstraction of time-oriented data into meaningful spatiotemporal patterns over a linear, decomposable space, such as traffic over a set of highways.

Más información

ID de Registro: 30616
Identificador DC: http://oa.upm.es/30616/
Identificador OAI: oai:oa.upm.es:30616
Depositado por: Martin Molina
Depositado el: 31 Jul 2014 05:55
Ultima Modificación: 22 Abr 2016 00:53
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