Web Science: Now More Than Ever
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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. -
Trust on the World Wide Web: a Survey Full Text Available At
Full text available at: http://dx.doi.org/10.1561/0400000006 Trust on the World Wide Web: A Survey Full text available at: http://dx.doi.org/10.1561/0400000006 Trust on the World Wide Web: A Survey Jennifer Golbeck University of Maryland College Park MA 20742 USA [email protected] Boston – Delft Full text available at: http://dx.doi.org/10.1561/0400000006 Foundations and Trends R in Web Science Published, sold and distributed by: now Publishers Inc. PO Box 1024 Hanover, MA 02339 USA Tel. +1-781-985-4510 www.nowpublishers.com [email protected] Outside North America: now Publishers Inc. PO Box 179 2600 AD Delft The Netherlands Tel. +31-6-51115274 The preferred citation for this publication is J. Golbeck, Trust on the World Wide Web: A Survey, Foundation and Trends R in Web Science, vol 1, no 2, pp 131–197, 2006 ISBN: 978-1-60198-116-5 c 2008 J. Golbeck All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, photocopying, recording or otherwise, without prior written permission of the publishers. Photocopying. In the USA: This journal is registered at the Copyright Clearance Cen- ter, Inc., 222 Rosewood Drive, Danvers, MA 01923. Authorization to photocopy items for internal or personal use, or the internal or personal use of specific clients, is granted by now Publishers Inc. for users registered with the Copyright Clearance Center (CCC). The ‘services’ for users can be found on the internet at: www.copyright.com For those organizations that have been granted a photocopy license, a separate system of payment has been arranged. -
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. -
Awareness Watch™ Newsletter V16N2 February 2018
Awareness Watch™ Newsletter By Marcus P. Zillman, M.S., A.M.H.A. http://www.AwarenessWatch.com/ V16N2 February 2018 Welcome to the V16N2 February 2018 issue of the Awareness Watch™ Newsletter. This newsletter is available as a complimentary subscription and will be issued monthly. Each newsletter will feature the following: Awareness Watch™ Featured Report Awareness Watch™ Spotters Awareness Watch™ Book/Paper/Article Review Subject Tracer™ Information Blogs I am always open to feedback from readers so please feel free to email with all suggestions, reviews and new resources that you feel would be appropriate for inclusion in an upcoming issue of Awareness Watch™. This is an ongoing work of creativity and you will be observing constant changes, constant updates knowing that “change” is the only thing that will remain constant!! Awareness Watch™ Featured Report This month’s featured report covers my Deep Web Research and Discovery Resources 2018 and is a comprehensive listing of deep web resources including search engines, directories, subject guides and index resources and sites on the Internet. The below list of sources is taken from my Subject Tracer™ white paper titled Deep Web Research and Discovery Resources 2018 and is constantly updated with Subject Tracer™ bots at the following URLs: http://www.DeepWeb.us/ These resources and sources will help you to discover the many pathways available through the Internet to find the latest deep web resources and sites. As this site is constantly updated it would be to your benefit to bookmark and return to the above URL frequently. The true way to search the Internet and social media is to include the deep web and these resources will be your pathfinder to all the important and ever changing resources including the New Economy! 1 Awareness Watch V16N2 February 2018 Newsletter http://www.AwarenessWatch.com/ [email protected] eVoice: 800-858-1462 © 2018 Marcus P. -
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. -
Astrea: Automatic Generation of SHACL Shapes from Ontologies
Astrea: automatic generation of SHACL shapes from ontologies Andrea Cimmino[0000−0002−1823−4484], Alba Fern´andez-Izquierdo[0000−0003−2011−3654], and Ra´ulGarc´ıa-Castro[0000−0002−0421−452X] Ontology Engineering Group Universidad Polit´ecnicade Madrid cimmino,albafernandez,[email protected] Abstract. Knowledge Graphs (KGs) that publish RDF data modelled using ontologies in a wide range of domains have populated the Web. The SHACL language is a W3C recommendation that has been endowed to encode a set of either value or model data restrictions that aim at validat- ing KG data, ensuring data quality. Developing shapes is a complex and time consuming task that is not feasible to achieve manually. This arti- cle presents two resources that aim at generating automatically SHACL shapes for a set of ontologies: (1) Astrea-KG, a KG that publishes a set of mappings that encode the equivalent conceptual restrictions among ontology constraint patterns and SHACL constraint patterns, and (2) Astrea, a tool that automatically generates SHACL shapes from a set of ontologies by executing the mappings from the Astrea-KG. These two resources are openly available at Zenodo, GitHub, and a web application. In contrast to other proposals, these resources cover a large number of SHACL restrictions producing both value and model data restrictions, whereas other proposals consider only a limited number of restrictions or focus only on value or model restrictions. Keywords: SHACL Shapes · RDF Validation · Ontology Resource type: Dataset & Software Astrea-KG: http://astrea.helio.linkeddata.es/ Astrea-KG DOI: https://doi.org/10.5281/zenodo.3571009 Astrea application: http://astrea.linkeddata.es/ 1 Introduction Knowledge Graphs (KGs) are becoming pervasive on the Web [5]. -
A Journal for Human and Machine
EDITORIAL A Journal for Human and Machine James Hendler1†, Ying Ding2† & Barend Mons3 1 Rensselaer Institute for Data Exploration and Applications, Rensselaer Polytechnic Institute, Troy, NY12180, USA 2 School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA 3 Leiden University Medical Centre, The Netherlands, Poortgebouw N-01, Rijnsburgerweg 10 2333 AA Leiden, The Netherlands Citation: J. Hendler, Y. Ding, & B. Mons. A journal for human and machine. Data Intelligence 1(2019), 1-5. doi: 10.1162/dint_e_00001 It is with great pride to bring you this new journal of Data Intelligence. This journal has at least two major purposes that we hope embrace. First, it will embrace the traditional role of a journal in helping to facilitate the communication of research and best practices in scientific data sharing, especially across disciplines, an area that is continually growing in importance for the modern practice of science. Second, we will be experimenting with new methods of enhancing the sharing of this communication, and examples of the field, by utilizing the increasing power of intelligent computing systems to further facilitate the growth of the field. The journal’s title, combining “data,” the field we will support, and “intelligence,” a means to that end, is meant to connote this growing interaction. Since the establishment of the first academic journals in the mid 1600’s, academic publishing has been a key part of scientific infrastructure, facilitating knowledge sharing and scholarly communication. Journals, at their best, publish high-quality scientific articles so that researchers can be aware of recent advancements in their fields and can have access to archival publications of the “giants” whose shoulders they stand on.