促进维基数据库整合的本体设计--历史数据实例

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Cogan Shimizu , Andrew Eells , Seila Gonzalez , Lu Zhou , Pascal Hitzler , Alicia Sheill , Catherine Foley , Dean Rehberger
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引用次数: 0

摘要

维基数据库(Wikidata 的基础软件)是一个功能强大的知识图谱创建和管理平台。然而,该平台在开发过程中考虑到了知识图谱创建的众包场景,这尤其意味着它并不是针对以本体形式严格控制高质量模式的用例场景而设计的,事实上,独立开发的本体并不一定能无缝映射到维基数据库方法中。在本文中,我们提供了将传统本体建模与维基百科平台结合使用所需的关键要素,即一套可弥合范式差距的公理模式,以及使用说明和一个历史数据实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ontology design facilitating Wikibase integration — and a worked example for historical data

Wikibase – which is the software underlying Wikidata – is a powerful platform for knowledge graph creation and management. However, it has been developed with a crowd-sourced knowledge graph creation scenario in mind, which in particular means that it has not been designed for use case scenarios in which a tightly controlled high-quality schema, in the form of an ontology, is to be imposed, and indeed, independently developed ontologies do not necessarily map seamlessly to the Wikibase approach. In this paper, we provide the key ingredients needed in order to combine traditional ontology modeling with use of the Wikibase platform, namely a set of axiom patterns that bridge the paradigm gap, together with usage instructions and a worked example for historical data.

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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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