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WDV: A Broad Data Verbalisation Dataset Built from Wikidata WDV:基于维基数据构建的广泛的数据语言化数据集
Pub Date : 2022-05-05 DOI: 10.48550/arXiv.2205.02627
Gabriel Amaral, Odinaldo Rodrigues, E. Simperl
Data verbalisation is a task of great importance in the current field of natural language processing, as there is great benefit in the transformation of our abundant structured and semi-structured data into human-readable formats. Verbalising Knowledge Graph (KG) data focuses on converting interconnected triple-based claims, formed of subject, predicate, and object, into text. Although KG verbalisation datasets exist for some KGs, there are still gaps in their fitness for use in many scenarios. This is especially true for Wikidata, where available datasets either loosely couple claim sets with textual information or heavily focus on predicates around biographies, cities, and countries. To address these gaps, we propose WDV, a large KG claim verbalisation dataset built from Wikidata, with a tight coupling between triples and text, covering a wide variety of entities and predicates. We also evaluate the quality of our verbalisations through a reusable workflow for measuring human-centred fluency and adequacy scores. Our data and code are openly available in the hopes of furthering research towards KG verbalisation.
数据语言化是当前自然语言处理领域中非常重要的一项任务,因为将我们丰富的结构化和半结构化数据转换为人类可读的格式有很大的好处。语言化知识图(KG)数据侧重于将相互关联的三元声明(由主语、谓语和宾语组成)转换为文本。尽管KG语言化数据集存在于一些KG,但它们在许多场景中的适用性仍然存在差距。对于Wikidata来说尤其如此,其中可用的数据集要么松散地将声明集与文本信息耦合在一起,要么主要关注传记、城市和国家周围的谓词。为了解决这些差距,我们提出了WDV,这是一个从维基数据构建的大型KG索赔语言化数据集,具有三元组和文本之间的紧密耦合,涵盖了各种实体和谓词。我们还通过可重复使用的工作流程来评估我们的语言质量,以衡量以人为中心的流利性和充分性得分。我们的数据和代码是公开的,希望进一步研究KG语言化。
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引用次数: 4
Towards Semantic Interoperability in Historical Research: Documenting Research Data and Knowledge with Synthesis 走向历史研究的语义互操作性:用综合方法记录研究数据和知识
Pub Date : 2021-07-29 DOI: 10.1007/978-3-030-88361-4_40
P. Fafalios, Konstantina Konsolaki, Lida Charami, K. Petrakis, Manos Paterakis, D. Angelakis, Yannis Tzitzikas, Chrysoula Bekiari, M. Doerr
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引用次数: 6
Learning to Recommend Items to Wikidata Editors 学习向维基数据编辑推荐项目
Pub Date : 2021-07-13 DOI: 10.1007/978-3-030-88361-4_10
Kholoud Alghamdi, Miaojing Shi, E. Simperl
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引用次数: 8
Zero-shot Visual Question Answering using Knowledge Graph 零射击视觉问答使用知识图谱
Pub Date : 2021-07-12 DOI: 10.1007/978-3-030-88361-4_9
Zhuo Chen, Jiaoyan Chen, Yuxia Geng, Jeff Z. Pan, Zonggang Yuan, Huajun Chen
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引用次数: 36
EduCOR: An Educational and Career-Oriented Recommendation Ontology EduCOR:一个教育和职业导向的推荐本体
Pub Date : 2021-07-12 DOI: 10.1007/978-3-030-88361-4_32
Eleni Ilkou, Hasan Abu-Rasheed, M. Tavakoli, Sherzod Hakimov, G'abor Kismih'ok, S. Auer, W. Nejdl
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引用次数: 11
Improving Inductive Link Prediction Using Hyper-Relational Facts 利用超关系事实改进归纳链接预测
Pub Date : 2021-07-10 DOI: 10.1007/978-3-030-88361-4_5
Mehdi Ali, M. Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
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引用次数: 17
Rail Topology Ontology: A Rail Infrastructure Base Ontology 铁路拓扑本体:铁路基础设施基础本体
Pub Date : 2021-07-09 DOI: 10.1007/978-3-030-88361-4_35
Stefan Bischof, Gottfried Schenner
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引用次数: 8
Computing CQ lower-bounds over OWL 2 through approximation to RSA - Extended Abstract 用RSA逼近法计算owl2上的CQ下界
Pub Date : 2021-07-01 DOI: 10.1007/978-3-030-88361-4_12
Federico Igne, Stefano Germano, Ian Horrocks
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引用次数: 1
Background Knowledge in Schema Matching: Strategy vs. Data 模式匹配的背景知识:策略与数据
Pub Date : 2021-06-29 DOI: 10.1007/978-3-030-88361-4_17
Jan Portisch, M. Hladik, Heiko Paulheim
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引用次数: 4
Learning Visual Models Using a Knowledge Graph as a Trainer 使用知识图作为训练器学习可视化模型
Pub Date : 2021-02-17 DOI: 10.1007/978-3-030-88361-4_21
Sebastian Monka, Lavdim Halilaj, Stefan Schmid, Achim Rettinger
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引用次数: 14
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International Workshop on the Semantic Web
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