There are some researches that explore and help to solve the representation of moving objects, mainly focused on improving DBMS and Query Languages for support spatio-temporal information storing and processing. Some other researches present techniques to analyze trajectories using data mining, indexing and math operations. More recently, with the emergence of the Semantic Web, the tracking of trajectories of moving objects became a fully applicational field and an open area for ontology applications. This paper explores moving objects representation and reasoning, aiming to find out foundations for a semantic representation of moving objects approach, for solving some existing problems when considering spatio-temporal aspects and semantically enrich query results over any stored information of moving objects.
Inhaltsverzeichnis (Table of Contents)
- Abstract
- Introduction
- Problem description and motivation
- Reference framework for movement representation and reasoning
- Data models
- Location management
- Indexing and data mining
- Logical representation and reasoning
- Classification of previous techniques
- Ontology driven approaches
- Spatial foundations and proposals
- Spatio-temporal research
- Temporal foundations and proposals
- Conclusions and future work
- References
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This paper explores the representation and reasoning of moving objects, aiming to establish foundations for a semantic representation approach to address challenges in spatio-temporal data analysis and enrich query results. The paper analyzes existing techniques and proposes a research path for developing a comprehensive ontology-based representation of moving objects.
- Analyzing the challenges of representing and reasoning about moving objects from a spatio-temporal perspective.
- Classifying existing techniques based on their approaches and perspectives.
- Identifying limitations of current ontology-driven approaches for representing moving objects.
- Proposing a research path for developing a robust and comprehensive ontology-based representation of moving objects.
- Exploring the potential of ontologies to integrate different applications and provide a unified framework for reasoning over spatio-temporal data.
Zusammenfassung der Kapitel (Chapter Summaries)
The paper begins by introducing the problem of representing and reasoning about moving objects, highlighting the increasing importance of this area due to advancements in computing, GPS, and sensor technologies. It emphasizes the need for a comprehensive approach that considers both spatial and temporal aspects of movement.
Chapter 2 delves into the problem description and motivation, discussing the various types of moving objects and their applications. It outlines challenges in representing moving objects, including tracking past movements and predicting future behavior. The chapter also introduces the concept of constrained and unconstrained environments for moving objects.
Chapter 3 establishes a reference framework for representing and reasoning about moving objects, outlining two key components: moving objects representation and spatio-temporal reasoning. The chapter discusses various approaches to representing moving objects, including data models, description logics, and ontologies. It also explores different techniques for spatio-temporal reasoning, such as database query languages, data mining, and rule-based reasoning.
Chapter 4 analyzes existing techniques for representing and reasoning about moving objects, focusing on approaches that rely on data models, location management, indexing and data mining, and logical representation. The chapter examines various proposals, including the use of spatial data types, point-in-polygon analysis, trajectory location management, and the Moving Objects Spatio-Temporal (MOST) data model.
Chapter 5 presents a classification of the techniques discussed in Chapter 4, grouping them based on their approaches and perspectives. This classification provides a structured overview of the existing landscape for representing and reasoning about moving objects.
Chapter 6 delves into ontology-driven approaches for representing and reasoning about moving objects, examining spatial and temporal foundations and proposals. It discusses the potential of ontologies to provide a unified framework for integrating different applications and reasoning over spatio-temporal data. The chapter also highlights the limitations of current ontology-driven approaches in this area.
Schlüsselwörter (Keywords)
The paper focuses on the key concepts of ontologies, data storage representations, database semantics, interactive data exploration and discovery, and knowledge acquisition in the context of moving objects. It explores the potential of ontologies to provide a robust framework for representing and reasoning about the movement of spatial entities, particularly in the context of spatio-temporal data analysis and knowledge representation.
- Citar trabajo
- Proff. Yuniel Proenza (Autor), 2015, A Study on Moving Objects. Representation and Reasoning, Múnich, GRIN Verlag, https://www.grin.com/document/311573
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