Journal of Web Semantics最新文献_第5页

An analysis of discussions in collaborative knowledge engineering through the lens of Wikidata 从维基数据的角度分析协同知识工程中的讨论

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-10-01 DOI: 10.1016/j.websem.2023.100799

Elisavet Koutsiana, Gabriel Maia Rocha Amaral, Neal Reeves, Albert Meroño-Peñuela, Elena Simperl

{"title":"An analysis of discussions in collaborative knowledge engineering through the lens of Wikidata","authors":"Elisavet Koutsiana, Gabriel Maia Rocha Amaral, Neal Reeves, Albert Meroño-Peñuela, Elena Simperl","doi":"10.1016/j.websem.2023.100799","DOIUrl":"https://doi.org/10.1016/j.websem.2023.100799","url":null,"abstract":"<div><p>We study <em>discussions</em><span> in Wikidata, the world’s largest open-source collaborative knowledge graph (KG). This is important because it helps KG community managers understand how discussions are used and inform the design of collaborative practices and support tools. We follow a mixed-methods approach with descriptive statistics, thematic analysis, and statistical tests to investigate how much discussions in Wikidata are used, what they are used for, and how they support knowledge engineering (KE) activities. The study covers three core sources of discussion, the talk pages that accompany Wikidata items and properties, and a general-purpose communication page. Our findings show low use of discussion capabilities and a power-law distribution similar to other KE projects such as Schema.org. When discussions are used, they are mostly about KE activities, including activities that span across the entire KE lifecycle from conceptualisation and implementation to maintenance and taxonomy building. We hope that the findings will help Wikidata devise improved practices and capabilities to encourage the use of discussions as a tool to collaborate, improve editor engagement, and engineer better KGs.</span></p></div>","PeriodicalId":49951,"journal":{"name":"Journal of Web Semantics","volume":"78 ","pages":"Article 100799"},"PeriodicalIF":2.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online maintenance of evolving knowledge graphs with RDFS-based saturation and why-provenance support 基于rdfs的饱和和原因来源支持的不断发展的知识图的在线维护

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-10-01 DOI: 10.1016/j.websem.2023.100796

Khalid Belhajjame, Mohamed-Yassine Mejri

引用次数: 1

SemanticHadith: An ontology-driven knowledge graph for the hadith corpus semantic chadith:一个本体驱动的圣训语料库知识图

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-10-01 DOI: 10.1016/j.websem.2023.100797

Amna Binte Kamran , Bushra Abro, Amna Basharat

{"title":"SemanticHadith: An ontology-driven knowledge graph for the hadith corpus","authors":"Amna Binte Kamran , Bushra Abro, Amna Basharat","doi":"10.1016/j.websem.2023.100797","DOIUrl":"https://doi.org/10.1016/j.websem.2023.100797","url":null,"abstract":"<div><p><span>Hadith is an essential and much-celebrated resource for the Islamic domain. It is one of the two primary sources of Islamic legislation. The hadith corpus is quite large, consisting of the collection of sayings, actions and silent approval of the Prophet Muhammad. Minimal efforts have been made to date, towards unified semantic modelling, and knowledge representation of the hadith structure for enhanced interlinking and knowledge discovery. This paper presents the design, development and publishing of the hadith corpus as a knowledge graph. First, we design the </span><em>SemanticHadith</em><span> ontology to describe and relate core structural concepts from the hadith. We then publish the six prominent hadith collections as an RDF-Based hadith knowledge graph, which is an effort towards making the available hadith both human and machine-readable. This is the first step in the annotation and linking process of the hadith corpus aimed at enabling semantic search capabilities to support scholars, students, and researchers in the creation, evolution, and consultation of a digital representation of Islamic knowledge. The </span><em>SemanticHadith</em> knowledge graph is freely accessible at <span>http://www.semantichadith.com</span><svg><path></path></svg>.</p></div>","PeriodicalId":49951,"journal":{"name":"Journal of Web Semantics","volume":"78 ","pages":"Article 100797"},"PeriodicalIF":2.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards human-compatible XAI: Explaining data differentials with concept induction over background knowledge 面向人类兼容的XAI:用背景知识的概念归纳法解释数据差异

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-09-26 DOI: 10.1016/j.websem.2023.100807

Cara Leigh Widmer , Md Kamruzzaman Sarker , Srikanth Nadella , Joshua Fiechter , Ion Juvina , Brandon Minnery , Pascal Hitzler , Joshua Schwartz , Michael Raymer

引用次数: 0

Comprehensible Artificial Intelligence on Knowledge Graphs: A survey 基于知识图谱的可理解人工智能:综述

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-09-15 DOI: 10.1016/j.websem.2023.100806

Simon Schramm , Christoph Wehner , Ute Schmid

{"title":"Comprehensible Artificial Intelligence on Knowledge Graphs: A survey","authors":"Simon Schramm , Christoph Wehner , Ute Schmid","doi":"10.1016/j.websem.2023.100806","DOIUrl":"https://doi.org/10.1016/j.websem.2023.100806","url":null,"abstract":"<div><p><span><span>Artificial Intelligence applications gradually move outside the safe walls of research labs and invade our daily lives. This is also true for </span>Machine Learning methods on Knowledge Graphs, which has led to a steady increase in their application since the beginning of the </span><span><math><mrow><mn>21</mn><mi>st</mi></mrow></math></span><span><span> century. However, in many applications, users require an explanation of the Artificial Intelligence’s decision. This led to increased demand for Comprehensible Artificial Intelligence. Knowledge Graphs epitomize fertile soil for Comprehensible Artificial Intelligence, due to their ability to display connected data, i.e. knowledge, in a human- as well as machine-readable way. This survey gives a short history to Comprehensible Artificial Intelligence on Knowledge Graphs. Furthermore, we contribute by arguing that the concept </span>Explainable Artificial Intelligence is overloaded and overlapping with Interpretable Machine Learning. By introducing the parent concept Comprehensible Artificial Intelligence, we provide a clear-cut distinction of both concepts while accounting for their similarities. Thus, we provide in this survey a case for Comprehensible Artificial Intelligence on Knowledge Graphs consisting of Interpretable Machine Learning on Knowledge Graphs and Explainable Artificial Intelligence on Knowledge Graphs. This leads to the introduction of a novel taxonomy for Comprehensible Artificial Intelligence on Knowledge Graphs. In addition, a comprehensive overview of the research on Comprehensible Artificial Intelligence on Knowledge Graphs is presented and put into the context of the taxonomy. Finally, research gaps in the field of Comprehensible Artificial Intelligence on Knowledge Graphs are identified for future research.</span></p></div>","PeriodicalId":49951,"journal":{"name":"Journal of Web Semantics","volume":"79 ","pages":"Article 100806"},"PeriodicalIF":2.5,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49906067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Translational argument technology: Engineering a step change in the argument web 翻译论证技术:在论证网络中进行一步改变的工程

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-07-01 DOI: 10.1016/j.websem.2023.100786

John Lawrence, Jacky Visser, Chris Reed

{"title":"Translational argument technology: Engineering a step change in the argument web","authors":"John Lawrence, Jacky Visser, Chris Reed","doi":"10.1016/j.websem.2023.100786","DOIUrl":"https://doi.org/10.1016/j.websem.2023.100786","url":null,"abstract":"<div><p>Following the establishment in 2006 of a representational standard for the computational handling of structures of argumentation, the Argument Interchange Format, it became possible to develop a vision for the coherent integration of multifarious services, components and tools that create, consume, navigate, analyse, evaluate and manipulate arguments and debates. This vision was the Argument Web with theoretical foundations laid by Rahwan et al. (2007), and practical engineering work described by Bex et al. (2013). Over the intervening period, the key challenge has been to demonstrate the practical and societal value of the Argument Web by taking its tools and applications to larger audiences. This paper lays out three approaches by which the Argument Web has been scaled up in this way, each in partnership with the BBC, and each with different kinds of evaluation and impact. Transitioning these technologies to large user groups paves the way for broader-scale uptake of the Argument Web and heralds the translation from lab to real-world application for a substantial research community working in argument technology.</p></div>","PeriodicalId":49951,"journal":{"name":"Journal of Web Semantics","volume":"77 ","pages":"Article 100786"},"PeriodicalIF":2.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49877098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semantic integration of audio content providers through the Audio Commons Ontology 通过音频共享本体实现音频内容提供者的语义集成

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-07-01 DOI: 10.1016/j.websem.2023.100787

Miguel Ceriani , Fabio Viola , Saša Rudan , Francesco Antoniazzi , Mathieu Barthet , György Fazekas

{"title":"Semantic integration of audio content providers through the Audio Commons Ontology","authors":"Miguel Ceriani , Fabio Viola , Saša Rudan , Francesco Antoniazzi , Mathieu Barthet , György Fazekas","doi":"10.1016/j.websem.2023.100787","DOIUrl":"https://doi.org/10.1016/j.websem.2023.100787","url":null,"abstract":"<div><p>A broad variety of audio content is available online through an increasing number of repositories and platforms. Resources such as music tracks, recorded sounds or instrument samples may be accessed by users for tasks ranging from customised music listening and exploration, to music making and sound design using existing sounds and samples. However, each online repository offers its own API and represents information through its own data model, making it difficult for applications to exploit the plurality of online audio and music content on the web. A crucial step toward integrating audio repositories in a flexible manner is a shared basis for modelling the data therein. This paper describes and extends the Audio Commons Ontology, a common data model designed to integrate existing repositories in the audio media domain. The ontology is designed with the involvement of users through surveys and requirements analyses, and evaluated in-use, by demonstrating how it supports the integration of four relevant repositories with heterogeneous APIs and data models. While this work proves the concept in the audio domain, our proposed methodology may transfer across a broad range of media integration tasks.</p></div>","PeriodicalId":49951,"journal":{"name":"Journal of Web Semantics","volume":"77 ","pages":"Article 100787"},"PeriodicalIF":2.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49877099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Online maintenance of evolving knowledge graphs with RDFS-based saturation and why-provenance support 基于rdfs的饱和和原因来源支持的不断发展的知识图的在线维护

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-07-01 DOI: 10.1016/j.websem.2023.100796

Khalid Belhajjame, Mohamed-Yassine Mejri

引用次数: 1

Pattern-based detection, extraction and analysis of code lists in ontologies and vocabularies 基于模式的检测、提取和分析本体和词汇表中的代码列表

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-07-01 DOI: 10.1016/j.websem.2023.100788

Viet Bach Nguyen, Vojtěch Svátek

{"title":"Pattern-based detection, extraction and analysis of code lists in ontologies and vocabularies","authors":"Viet Bach Nguyen, Vojtěch Svátek","doi":"10.1016/j.websem.2023.100788","DOIUrl":"https://doi.org/10.1016/j.websem.2023.100788","url":null,"abstract":"<div><p>While the early phase of the Semantic Web put emphasis on conceptual modeling through ontology classes, and the recent years saw the rise of loosely structured, instance-level knowledge graphs (used even for modeling concepts), in this paper, we focus on a third kind of concept modeling: via code lists, primarily those embedded in ontologies and vocabularies. We attempt to characterize the candidate structures for code lists based on our observations in OWL ontologies. Our main contribution is then an approach implemented as a series of SPARQL queries and a lightweight web application that can be used to browse and detect potential code lists in ontologies and vocabularies, in order to extract and enhance them, and to store them in a stand-alone knowledge base. The application allows inspecting query results coming from the Linked Open Vocabularies catalog dataset. In addition, we describe a complementary bottom-up analysis of potential code lists. We also provide in this paper a demonstration of the dominant nature of embedded codes from the aspect of ontological universals and their alternatives for modeling code lists.</p></div>","PeriodicalId":49951,"journal":{"name":"Journal of Web Semantics","volume":"77 ","pages":"Article 100788"},"PeriodicalIF":2.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49877096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Streaming linked data: A survey on life cycle compliance 流式关联数据:生命周期遵从性调查

IF 2.5 3区计算机科学

Journal of Web Semantics Pub Date : 2023-07-01 DOI: 10.1016/j.websem.2023.100785

Pieter Bonte , Riccardo Tommasini

{"title":"Streaming linked data: A survey on life cycle compliance","authors":"Pieter Bonte , Riccardo Tommasini","doi":"10.1016/j.websem.2023.100785","DOIUrl":"https://doi.org/10.1016/j.websem.2023.100785","url":null,"abstract":"<div><p>Data streams are becoming omnipresent on the Web. The Stream Reasoning (SR) paradigm, which combines Stream Processing with Semantic Web techniques, has been successful in processing these data streams. The progress in SR research has led to several applications in domains such as the Internet of Things<span>, social media analysis, Smart Cities, and many others. Each of these applications produces and consumes data streams, however, there are no fixed guidelines on how to manage data streams on the Web, as there are for their static counterparts. More specifically, there is no fixed life cycle for Streaming Linked Data (SLD) yet. Tommasini et al. (2020) introduced an initial proposal for a SLD life cycle, however, it has not been verified if the proposed life cycle captures existing applications and no guidelines were given for each step.</span></p><p>In this paper, we survey existing SR applications and identify if the life cycle proposed by Tommasini et al. fully captures the surveyed applications. Based on our analysis, we found that some of the steps needed reordering or being split up. This paper proposes an update of the life cycle and surveys the existing literature for each life cycle step while proposing a number of guidelines and best practices. Compared to the initial proposal by Tommasini et al., we drill down into the details of the processing step which was previously neglected. The updated life cycle and guidelines serves as a blueprint for future SR applications. A life cycle for SLD that allows to efficiently manage data streams on the web, brings us a step closer to the realization of the SR vision.</p></div>","PeriodicalId":49951,"journal":{"name":"Journal of Web Semantics","volume":"77 ","pages":"Article 100785"},"PeriodicalIF":2.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49877097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1