DABGEO:面向能源领域的可重用和可用的全局能源本体

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Web Semantics Pub Date : 2020-02-03 DOI:10.2139/ssrn.3531214
Javier Cuenca, F. Larrinaga, E. Curry
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引用次数: 10

摘要

能源本体的异构性阻碍了基于本体的能源管理应用之间的互操作性,难以实现大规模的能源管理。因此,需要一个提供通用词汇表来表示能量子域的全局本体。全局能源本体必须提供可重用性和可用性之间的平衡,以缓和在不同应用程序中重用它所需的工作量。本文提出了一种可重用和可用的能量域全局本体DABGEO,它为现有的能量本体所表示的能量域提供了一种通用的表示。本体工程师可以重用DABGEO,为特定的能源管理应用开发本体。与以前的全球能源本体相比,它遵循分层结构,以提供可重用性和可用性之间的平衡。在这项工作中,我们提供了DABGEO结构的概述,并解释了如何在特定的应用案例中重用它。此外,本文还包括对DABGEO的评估,以证明它提供了可重用性和可用性之间的平衡。
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DABGEO: A Reusable and Usable Global Energy Ontology for the Energy Domain
Abstract The heterogeneity of energy ontologies hinders the interoperability between ontology-based energy management applications to perform a large-scale energy management. Thus, there is the need for a global ontology that provides common vocabularies to represent the energy subdomains. A global energy ontology must provide a balance of reusability–usability to moderate the effort required to reuse it in different applications. This paper presents DABGEO: a reusable and usable global ontology for the energy domain that provides a common representation of energy domains represented by existing energy ontologies. DABGEO can be reused by ontology engineers to develop ontologies for specific energy management applications. In contrast to previous global energy ontologies, it follows a layered structure to provide a balance of reusability–usability. In this work, we provide an overview of the structure of DABGEO and we explain how to reuse it in a particular application case. In addition, the paper includes an evaluation of DABGEO to demonstrate that it provides a balance of reusability–usability.
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来源期刊
Journal of Web Semantics
Journal of Web Semantics 工程技术-计算机:人工智能
CiteScore
6.20
自引率
12.00%
发文量
22
审稿时长
14.6 weeks
期刊介绍: The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.
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