Building a Knowledge Graph for the History of Vienna with Semantic MediaWiki

IF 2.1 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Bernhard Krabina
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引用次数: 5

Abstract

While research on semantic wikis is declining, Semantic MediaWiki (SMW) can still play an important role in the emerging field of knowledge graph curation.

The Vienna History Wiki, a large knowledge base curated by the city government in collaboration with other institutions and the general public, provides an ideal use case for demonstrating strengths and weaknesses of SMW as well as discussing the challenges of co-curation in a cultural heritage setting. This paper describes processes like collaborative editing, interlinking unique identifiers on the web, sharing data with Wikidata, making use of Schema.org, and other ontologies. It presents insights from a user survey, access statistics, and a knowledge graph analysis.

This work contributes to the scarce research in wiki usage outside of the Wikipedia ecosystem as well as to the field of community-based knowledge graph curation. The availability of a now significantly improved RDF representation indicates future directions for research and practice.

利用语义媒体维基构建维也纳历史知识图谱
虽然对语义维基的研究正在减少,但语义媒体wiki (semantic MediaWiki, SMW)仍然可以在新兴的知识图谱管理领域发挥重要作用。维也纳历史维基是一个由市政府与其他机构和公众合作管理的大型知识库,它提供了一个理想的用例,展示了维也纳历史博物馆的优势和劣势,并讨论了在文化遗产环境中共同管理的挑战。本文描述了协同编辑、在网络上连接唯一标识符、与维基数据共享数据、利用Schema.org和其他本体等过程。它提供了来自用户调查、访问统计和知识图分析的见解。这项工作有助于维基百科生态系统之外的维基使用方面的稀缺研究,以及基于社区的知识图谱管理领域。现在显著改进的RDF表示的可用性表明了研究和实践的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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