不动产领域的本体

Ling Shi, D. Roman
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引用次数: 4

摘要

不动产,又称不动产、不动产或不动产,是世界经济最重要的资产之一。房地产数据对各个领域的决策者来说都是有价值的输入。房地产数据具有时间和空间特征,分布在多个系统中。将来自法律和商业系统(可能来自不同国家)的房地产数据与相关领域的上下文数据集成是一项具有挑战性的任务,需要跨领域的知识。不动产本体以结构化的方式获取相关的领域知识,在不动产数据集成过程中是必不可少的。本文从数据集成的角度确定了房地产领域的关键方面,并调查了房地产及其相关领域的本体。分析了用于表示与不动产相关的地理空间概念和属性的地理空间标准、土地管理领域模型及其实现、不动产交易和不动产数据集成的本体。本调查旨在收集和比较现有不动产本体和概念模型,为不动产领域的本体和概念模型提供参考点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ontologies for the Real Property Domain
Real property, also known as real estate, realty or immovable property, is one of the most important assets for the world economy. Real property data is valuable input for decision makers in various domains. Real property data has temporal and spatial characteristics and is distributed across multiple systems. Integration of real property data from legal and business systems (possibly from different countries) with contextual data in related domains is a challenging task that requires cross-domain knowledge. Real property ontologies, capturing relevant domain knowledge in a structured way, are essential in the process of integrating real property data. This paper identifies key aspects of the real property domain from a data integration perspective, and surveys ontologies for real property and its related domains. It analyzes geospatial standards for representing geospatial concepts and attributes relevant to real properties, the Land Administration Domain Model and its implementations, and ontologies for real property transactions and for real property data integration. This survey aims to collect and compare existing real property ontologies and conceptual models, serving as a reference point for ontologies and conceptual models in the real property domain.
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