Semantic Web: Who Is Who in the Field – a Bibliometric Analysis
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A Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritage
heritage Article A Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritage Ikrom Nishanbaev 1,* , Erik Champion 1,2,3 and David A. McMeekin 4,5 1 School of Media, Creative Arts, and Social Inquiry, Curtin University, Perth, WA 6845, Australia; [email protected] 2 Honorary Research Professor, CDHR, Sir Roland Wilson Building, 120 McCoy Circuit, Acton 2601, Australia 3 Honorary Research Fellow, School of Social Sciences, FABLE, University of Western Australia, 35 Stirling Highway, Perth, WA 6907, Australia 4 School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia; [email protected] 5 School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, Australia * Correspondence: [email protected] Received: 14 July 2020; Accepted: 4 August 2020; Published: 12 August 2020 Abstract: Recently, many Resource Description Framework (RDF) data generation tools have been developed to convert geospatial and non-geospatial data into RDF data. Furthermore, there are several interlinking frameworks that find semantically equivalent geospatial resources in related RDF data sources. However, many existing Linked Open Data sources are currently sparsely interlinked. Also, many RDF generation and interlinking frameworks require a solid knowledge of Semantic Web and Geospatial Semantic Web concepts to successfully deploy them. This article comparatively evaluates features and functionality of the current state-of-the-art geospatial RDF generation tools and interlinking frameworks. This evaluation is specifically performed for cultural heritage researchers and professionals who have limited expertise in computer programming. Hence, a set of criteria has been defined to facilitate the selection of tools and frameworks. -
From the Semantic Web to Social Machines
ARTICLE IN PRESS ARTINT:2455 JID:ARTINT AID:2455 /REV [m3G; v 1.23; Prn:25/11/2009; 12:36] P.1 (1-6) Artificial Intelligence ••• (••••) •••–••• Contents lists available at ScienceDirect Artificial Intelligence www.elsevier.com/locate/artint From the Semantic Web to social machines: A research challenge for AI on the World Wide Web ∗ Jim Hendler a, , Tim Berners-Lee b a Tetherless World Constellation, RPI, United States b Computer Science and AI Laboratory, MIT, United States article info abstract Article history: The advent of social computing on the Web has led to a new generation of Web Received 24 September 2009 applications that are powerful and world-changing. However, we argue that we are just Received in revised form 1 October 2009 at the beginning of this age of “social machines” and that their continued evolution and Accepted 1 October 2009 growth requires the cooperation of Web and AI researchers. In this paper, we show how Available online xxxx the growing Semantic Web provides necessary support for these technologies, outline the challenges we see in bringing the technology to the next level, and propose some starting places for the research. © 2009 Elsevier B.V. All rights reserved. Much has been written about the profound impact that the World Wide Web has had on society. Yet it is primarily in the past few years, as more interactive “read/write” technologies (e.g. Wikis, blogs and photo/video sharing) and social network- ing sites have proliferated, that the truly profound nature of this change is being felt. From the very beginning, however, the Web was designed to create a network of humans changing society empowered using this shared infrastructure. -
Deciding SHACL Shape Containment Through Description Logics Reasoning
Deciding SHACL Shape Containment through Description Logics Reasoning Martin Leinberger1, Philipp Seifer2, Tjitze Rienstra1, Ralf Lämmel2, and Steffen Staab3;4 1 Inst. for Web Science and Technologies, University of Koblenz-Landau, Germany 2 The Software Languages Team, University of Koblenz-Landau, Germany 3 Institute for Parallel and Distributed Systems, University of Stuttgart, Germany 4 Web and Internet Science Research Group, University of Southampton, England Abstract. The Shapes Constraint Language (SHACL) allows for for- malizing constraints over RDF data graphs. A shape groups a set of constraints that may be fulfilled by nodes in the RDF graph. We investi- gate the problem of containment between SHACL shapes. One shape is contained in a second shape if every graph node meeting the constraints of the first shape also meets the constraints of the second. Todecide shape containment, we map SHACL shape graphs into description logic axioms such that shape containment can be answered by description logic reasoning. We identify several, increasingly tight syntactic restrictions of SHACL for which this approach becomes sound and complete. 1 Introduction RDF has been designed as a flexible, semi-structured data format. To ensure data quality and to allow for restricting its large flexibility in specific domains, the W3C has standardized the Shapes Constraint Language (SHACL)5. A set of SHACL shapes are represented in a shape graph. A shape graph represents constraints that only a subset of all possible RDF data graphs conform to. A SHACL processor may validate whether a given RDF data graph conforms to a given SHACL shape graph. A shape graph and a data graph that act as a running example are pre- sented in Fig. -
The Application of Semantic Web Technologies to Content Analysis in Sociology
THEAPPLICATIONOFSEMANTICWEBTECHNOLOGIESTO CONTENTANALYSISINSOCIOLOGY MASTER THESIS tabea tietz Matrikelnummer: 749153 Faculty of Economics and Social Science University of Potsdam Erstgutachter: Alexander Knoth, M.A. Zweitgutachter: Prof. Dr. rer. nat. Harald Sack Potsdam, August 2018 Tabea Tietz: The Application of Semantic Web Technologies to Content Analysis in Soci- ology, , © August 2018 ABSTRACT In sociology, texts are understood as social phenomena and provide means to an- alyze social reality. Throughout the years, a broad range of techniques evolved to perform such analysis, qualitative and quantitative approaches as well as com- pletely manual analyses and computer-assisted methods. The development of the World Wide Web and social media as well as technical developments like optical character recognition and automated speech recognition contributed to the enor- mous increase of text available for analysis. This also led sociologists to rely more on computer-assisted approaches for their text analysis and included statistical Natural Language Processing (NLP) techniques. A variety of techniques, tools and use cases developed, which lack an overall uniform way of standardizing these approaches. Furthermore, this problem is coupled with a lack of standards for reporting studies with regards to text analysis in sociology. Semantic Web and Linked Data provide a variety of standards to represent information and knowl- edge. Numerous applications make use of these standards, including possibilities to publish data and to perform Named Entity Linking, a specific branch of NLP. This thesis attempts to discuss the question to which extend the standards and tools provided by the Semantic Web and Linked Data community may support computer-assisted text analysis in sociology. First, these said tools and standards will be briefly introduced and then applied to the use case of constitutional texts of the Netherlands from 1884 to 2016. -
The Web of Data for E-Commerce: Schema.Org and Goodrelations for Researchers and Practitioners
The Web of Data for E-Commerce: Schema.org and GoodRelations for Researchers and Practitioners Martin Hepp() E-Business & Web Science Research Group, Universität der Bundeswehr München, Werner-Heisenberg-Weg 39, 85577, Neubiberg, Germany [email protected] Abstract. Schema.org is one of the main drivers for the adoption of Semantic Web principles by a broad number of organizations and individuals for real business needs. GoodRelations is a well-established conceptual model for representing e-commerce information, one of the few widely used OWL DL on- tologies, and since 2012 the official e-commerce model of schema.org. In this tutorial, we will (1) give a comprehensive overview and hands-on training on the advanced conceptual structures of schema.org for e-commerce, including patterns for ownership and demand, (2) present the full tool chain for producing and consuming respective data, (3) explain the long-term vision of Linked Open Commerce, and (4) discuss advanced topics, like access control, identity and authentication (e.g. with WebID); micropayment services, and data management issues from the publisher and consumer perspective. We will also cover research opportunities resulting from the growing adoption and the re- spective amount of data in RDFa, Microdata, and JSON-LD syntaxes. Keywords: Schema.org · GoodRelations · Semantic Web · Ontologies · Micro- data · OWL · RDFa · JSON-LD · Linked Open Data · E-Commerce · E-Business 1 Introduction Schema.org [1] is one of the main drivers for the adoption of Semantic Web principles by a broad number of people for their real business needs. The resulting amount of real-world RDF1 data exceeds a critical mass so that it becomes interesting as reference data for any kind of foundational Semantic Web research. -
A Celebration of 10 Years of the Science of the Web WEB SCIENCE TRUST BOARD Board Members
2006-2016 A celebration of 10 Years of the Science of the Web WEB SCIENCE TRUST BOARD Board Members Professor Dame Wendy Hall JP Rangaswami Professor Sir Nigel Shadbolt Professor George Metakides Professor James Hendler John Taysom Professor Noshir Contractor Daniel J Weitzner Fellows and Advisors Professor Bebo White Web Science Champion Sir John Taylor Professor Sir Tim Berners-Lee Senior Fellow Senior Fellow Anni Rowland-Campbell Baroness Rennie Fritchie Advisor Patron We also wish to acknowledge the contribution of colleagues who acted as supporters and research fellows for the fore- runner to the Web Science Trust, the Web Science Research Initiative (WSRI). CELEBRATING 10 YEARS OF WEB SCIENCE 2016 marks the tenth anniversary of the academic discipline of Web Science. It was in 2006 that the paper ‘Creating a Science of the Web’ appeared in the journal Science. The paper’s authors: Tim Berners-Lee, Wendy Hall, James Hendler, Nigel Shadbolt, and Daniel Weitzner, set out their concerns about the future direction of the Web, and emphasized the need to establish a clear research agenda ‘aimed at understanding the current, evolving, and potential Web’: “If we want to model the Web; if we want to understand the architectural principles that have provided for its growth; and if we want to be sure that it supports the basic social values of trustworthiness, privacy, and respect for social boundaries, then we must chart out a research agenda that targets the Web as a primary focus of attention.” The authors called for the new discipline of Web Science role in shaping appropriate policy directives, as well as to be inherently interdisciplinary, to tackle research enabling a better understanding of the central importance challenges around ownership and access to data, and to of the Web in all our lives. -
A Manifesto for Web Science? Susan Halford, Cathy Pope, Leslie Carr University of Southampton Southampton United Kingdom
A Manifesto for Web Science? Susan Halford, Cathy Pope, Leslie Carr University of Southampton Southampton United Kingdom [email protected] Categories and Subject Descriptors The call for Web Science insists that we open up this H.3.5 [Information Storage and Retrieval]: Online space. In doing so, a flag has been planted. Hendler, Information Services Berners-Lee et al have named this territory for web science and have begun to map it from their vantage point in General Terms Computer Science. But – and as they would be the first to Management, Documentation, Economics, Security, acknowledge – this is only one vantage point. Other Human Factors, Legal Aspects. disciplines will add new perspectives and interpretations. However, it is by no means certain that we will all agree Keywords about what we see. For whilst we might all agree that Web Web science Science cannot develop without inter-disciplinarity, we 1. INTRODUCTION should be clear from the beginning that this is no simple matter. We need to be realistic about what we are getting A clarion call for a new science of the web has been ourselves into. There will be big challenges in making sounded in the pages of CACM (Hendler et al 2008) and ourselves understood to each other and developing elsewhere in path-breaking papers by Berners-Lee et al collaborative understandings will require us to leave the (2006a, 2006b). These authors point to a paradox: despite comfort of our disciplinary silos. But, the promise of new the huge effect that the web has had on computing – not to forms of knowledge and understanding that are bigger than mention the world – computer scientists rarely study the the sum of our parts are gains worth working for. -
Coverage of Academic Citation Databases Compared with Coverage
The current issue and full text archive of this journal is available on Emerald Insight at: www.emeraldinsight.com/1468-4527.htm Coverage of Coverage of academic citation academic databases compared with citation coverage of scientific social media databases Personal publication lists as 255 calibration parameters Received 24 July 2014 Fourth revision approved Fee Hilbert, Julia Barth, Julia Gremm, Daniel Gros, Jessica Haiter, 5 January 2015 Maria Henkel, Wilhelm Reinhardt and Wolfgang G. Stock Department of Information Science, Heinrich Heine University, Dusseldorf, Germany Abstract Purpose – The purpose of this paper is to show how the coverage of publications is represented in information services. Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, BibSonomy) were analyzed by applying a new method: the use of personal publication lists of scientists. Design/methodology/approach – Personal publication lists of scientists of the field of information science were analyzed. All data were taken in collaboration with the scientists in order to guarantee complete publication lists. Findings – The demonstrated calibration parameter shows the coverage of information services in the field of information science. None of the investigated databases reached a coverage of 100 percent. However Google Scholar covers a greater amount of publications than other academic citation databases and scientific social media. Research limitations/implications – Results were limited to the publications of scientists working at an information science department from 2003 to 2012 at German-speaking universities. Practical implications – Scientists of the field of information science are encouraged to review their publication strategy in case of quality and quantity. Originality/value – The paper confirms the usefulness of personal publication lists as a calibration parameter for measuring coverage of information services. -
VIVO: a Semantic Approach to Scholarly Networking and Discovery
VIVO A Semantic Approach to Scholarly Networking and Discovery Synthesis Lectures on Semantic Web: Theory and Technology Editors James Hendler, Rensselaer Polytechnic Institute Ying Ding, Indiana University Synthesis Lectures on the Semantic Web: Theory and Application is edited by James Hendler of Rensselaer Polytechnic Institute. Whether you call it the Semantic Web, Linked Data, or Web 3.0, a new generation of Web technologies is offering major advances in the evolution of the World Wide Web. As the first generation of this technology transitions out of the laboratory, new research is exploring how the growing Web of Data will change our world. While topics such as ontology-building and logics remain vital, new areas such as the use of semantics in Web search, the linking and use of open data on the Web, and future applications that will be supported by these technologies are becoming important research areas in their own right. Whether they be scientists, engineers or practitioners, Web users increasingly need to understand not just the new technologies of the Semantic Web, but to understand the principles by which those technologies work, and the best practices for assembling systems that integrate the different languages, resources, and functionalities that will be important in keeping the Web the rapidly expanding, and constantly changing, information space that has changed our lives. Topics to be included: • Semantic Web Principles from linked-data to ontology design • Key Semantic Web technologies and algorithms • Semantic Search -
Special Issue on the Semantic Web for the Legal Domain Guest Editors’ Editorial: the Next Step
Special Issue on the Semantic Web for the Legal Domain Guest Editors’ Editorial: The Next Step Pompeu Casanovasa,b, Monica Palmiranic, Silvio Peronid,*, Tom van Engerse, Fabio Vitalif a [email protected] Institute of Law and Technology, Universitat Autònoma de Barcelona Campus de la UAB, 08193 Bellaterra (Barcelona), Spain b [email protected] Law and Policy Program: Data to Decisions Cooperative Research Centre, Law School, Deakin University 1 Gheringhap Street, Geelong VIC 3220, Australia c [email protected] CIRSFID, University of Bologna, via Galliera, 3, 40121 Bologna (BO), Italy d [email protected] Department of Computer Science and Engineering, University of Bologna, Mura Anteo Zamboni 7, 40126 Bologna (BO), Italy e [email protected] Leibniz Center for Law, University of Amsterdam, Vendelstraat 8, 1012 XX Amsterdam, The Netherlands f [email protected] Department of Computer Science and Engineering, University of Bologna, Mura Anteo Zamboni 7, 40126 Bologna (BO), Italy Abstract. Ontology-driven systems with reasoning capabilities in the legal field are now better understood. Legal concepts are not discrete, but make up a dynamic continuum between common sense terms, specific technical use, and professional knowledge, in an evolving institutional reality. Thus, the tension between a plural understanding of regulations and a more general understanding of law is bringing into view a new landscape in which general legal frameworks—grounded in well-known legal theories stemming from 20th-century c. legal positivism or sociological jurisprudence—are made compatible with specific forms of rights management on the Web. In this sense, Semantic Web tools are not only being designed for information retrieval, classification, clustering, and knowledge management. -
Analysis of the Impact Factor of Science Journals
Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Analysis of the Impact Factor of scientific journals Jaume Singla Valls Advisor: Dr. Sergio Gómez February, 2014 Index 1. Introduction......................................................................................................................................3 1.1. The Impact Factor..................................................................................................................... 4 1.2. Summary................................................................................................................................... 5 2. Citations and Impact Factor Data..................................................................................................... 6 2.1. Data download..........................................................................................................................6 2.1.1. Version based on Mechanize Python Library................................................................... 6 2.1.2. Old SOAP Version.............................................................................................................. 7 2.1.3. New official SOAP Version.................................................................................................9 2.2. Data selection......................................................................................................................... 10 2.3. Data validation........................................................................................................................11 -
A Survey of the First 20 Years of Research on Semantic Web and Linked Data Fabien Gandon
A Survey of the First 20 Years of Research on Semantic Web and Linked Data Fabien Gandon To cite this version: Fabien Gandon. A Survey of the First 20 Years of Research on Semantic Web and Linked Data. Revue des Sciences et Technologies de l’Information - Série ISI : Ingénierie des Systèmes d’Information, Lavoisier, 2018, 10.3166/ISI.23.3-4.11-56. hal-01935898 HAL Id: hal-01935898 https://hal.inria.fr/hal-01935898 Submitted on 27 Nov 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. A Survey of the First 20 Years of Research on Semantic Web and Linked Data Fabien Gandon Inria, Université Côte d’Azur, CNRS, I3S, Wimmics 2004 rt des Lucioles, 06902 Sophia Antipolis, France [email protected] ABSTRACT. This paper is a survey of the research topics in the field of Semantic Web, Linked Data and Web of Data. This study looks at the contributions of this research community over its first twenty years of existence. Compiling several bibliographical sources and bibliometric indica- tors, we identify the main research trends and we reference some of their major publications to provide an overview of that initial period.