Genuine Semantic Publishing
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V a Lida T in G R D F Da
Series ISSN: 2160-4711 LABRA GAYO • ET AL GAYO LABRA Series Editors: Ying Ding, Indiana University Paul Groth, Elsevier Labs Validating RDF Data Jose Emilio Labra Gayo, University of Oviedo Eric Prud’hommeaux, W3C/MIT and Micelio Iovka Boneva, University of Lille Dimitris Kontokostas, University of Leipzig VALIDATING RDF DATA This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications. RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models. At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints. -
Semantics Developer's Guide
MarkLogic Server Semantic Graph Developer’s Guide 2 MarkLogic 10 May, 2019 Last Revised: 10.0-8, October, 2021 Copyright © 2021 MarkLogic Corporation. All rights reserved. MarkLogic Server MarkLogic 10—May, 2019 Semantic Graph Developer’s Guide—Page 2 MarkLogic Server Table of Contents Table of Contents Semantic Graph Developer’s Guide 1.0 Introduction to Semantic Graphs in MarkLogic ..........................................11 1.1 Terminology ..........................................................................................................12 1.2 Linked Open Data .................................................................................................13 1.3 RDF Implementation in MarkLogic .....................................................................14 1.3.1 Using RDF in MarkLogic .........................................................................15 1.3.1.1 Storing RDF Triples in MarkLogic ...........................................17 1.3.1.2 Querying Triples .......................................................................18 1.3.2 RDF Data Model .......................................................................................20 1.3.3 Blank Node Identifiers ..............................................................................21 1.3.4 RDF Datatypes ..........................................................................................21 1.3.5 IRIs and Prefixes .......................................................................................22 1.3.5.1 IRIs ............................................................................................22 -
15 Years of Semantic Web: an Incomplete Survey
Ku¨nstl Intell (2016) 30:117–130 DOI 10.1007/s13218-016-0424-1 TECHNICAL CONTRIBUTION 15 Years of Semantic Web: An Incomplete Survey 1 2 Birte Glimm • Heiner Stuckenschmidt Received: 7 November 2015 / Accepted: 5 January 2016 / Published online: 23 January 2016 Ó Springer-Verlag Berlin Heidelberg 2016 Abstract It has been 15 years since the first publications today’s Web: Uniform Resource Identifiers (URIs) for proposed the use of ontologies as a basis for defining assigning unique identifiers to resources, the HyperText information semantics on the Web starting what today is Markup Language (HTML) for specifying the formatting known as the Semantic Web Research Community. This of Web pages, and the Hypertext Transfer Protocol (HTTP) work undoubtedly had a significant influence on AI as a that allows for the retrieval of linked resources from across field and in particular the knowledge representation and the Web. Typically, the markup of standard Web pages Reasoning Community that quickly identified new chal- describes only the formatting and, hence, Web pages and lenges and opportunities in using Description Logics in a the navigation between them using hyperlinks is targeted practical setting. In this survey article, we will try to give towards human users (cf. Fig. 1). an overview of the developments the field has gone through In 2001, Tim Berners-Lee, James Hendler, and Ora in these 15 years. We will look at three different aspects: Lassila describe their vision for a Semantic Web [5]: the evolution of Semantic Web Language Standards, the The Semantic Web is not a separate Web but an evolution of central topics in the Semantic Web Commu- extension of the current one, in which information is nity and the evolution of the research methodology. -
A Personal Research Agent for Semantic Knowledge Management of Scientific Literature
A Personal Research Agent for Semantic Knowledge Management of Scientific Literature Bahar Sateli A Thesis in the Department of Computer Science and Software Engineering Presented in Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy (Computer Science) at Concordia University Montréal, Québec, Canada February 2018 c Bahar Sateli, 2018 Concordia University School of Graduate Studies This is to certify that the thesis prepared By: Bahar Sateli Entitled: A Personal Research Agent for Semantic Knowledge Management of Scientific Literature and submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer Science) complies with the regulations of this University and meets the accepted standards with respect to originality and quality. Signed by the final examining commitee: Chair Dr. Georgios Vatistas External Examiner Dr. Guy Lapalme Examiner Dr. Ferhat Khendek Examiner Dr. Volker Haarslev Examiner Dr. Juergen Rilling Supervisor Dr. René Witte Approved by Dr. Volker Haarslev, Graduate Program Director 9 April 2018 Dr. Amir Asif, Dean Faculty of Engineering and Computer Science Abstract A Personal Research Agent for Semantic Knowledge Management of Scientific Literature Bahar Sateli, Ph.D. Concordia University, 2018 The unprecedented rate of scientific publications is a major threat to the productivity of knowledge workers, who rely on scrutinizing the latest scientific discoveries for their daily tasks. Online digital libraries, academic publishing databases and open access repositories grant access to a plethora of information that can overwhelm a researcher, who is looking to obtain fine-grained knowledge relevant for her task at hand. This overload of information has encouraged researchers from various disciplines to look for new approaches in extracting, organizing, and managing knowledge from the immense amount of available literature in ever-growing repositories. -
Digital Publications Beyond Digital Communication
Erschienen in der Reihe Herausgeber der Reihe Digital Publications beyond Digital Communication Niels-Oliver Walkowski Berlin-Brandenburg Academy of Sciences and Humanities Working Papers Niels-Oliver Walkowski: “Digital Publications beyond Digital Communication”. DARIAH-DE Working Papers No. 17. Göttingen: DARIAH-DE, 2016. URN: urn:nbn:de:gbv:7-dariah-2016-3-4. This article is published under the licence Creative-Commons Attribution 4.0 (CC-BY). The DARIAH-DE Working Papers are published by Mirjam Blümm, Thomas Kollatz, Stefan Schmunk and Christof Schöch. Abstract Since more than twenty years different stakeholders involved in scholarly publishing have tried to fundamentally rethink the shape of publications in a digital environment. In contrast to these abundant activities with their highly experimental character the same stakeholders continuously regret that the dominant form of digital publications is still the PDF. In the research literature, the situation of digital publications is often compared with the era of the printing press. While this comparison might be helpful to create awareness about the dimension in which changes are taking place it certainly also blurs significant differences. In the situation that was described before it is even more important to identify the peculiarities of the process of change. Fortunately, the story of digital scholarly publications is long enough to tell it in a way in which these peculiarities become more transparent. The study at hand is an attempt to do so. At its end, it becomes clear that the major issue in digital publishing is not so much connected to the questions how publications look digitally but what we may perceive as a publication in a digital environment. -
XML Database Trigger
Comput Sci Res Dev (2014) 29:1–19 DOI 10.1007/s00450-010-0132-2 REGULAR PAPER XTrigger: XML database trigger Anders H. Landberg · J. Wenny Rahayu · Eric Pardede Received: 2 September 2009 / Accepted: 5 August 2010 / Published online: 26 August 2010 © Springer-Verlag 2010 Abstract An ever increasing amount of data is being ex- 1 Introduction changed and stored in the XML data format brings with it a number of advanced requirements to XML database func- The concept of the database trigger was first introduced in tionality, such as trigger mechanism. Triggers are commonly 1976 [1]. Prior to this, the need for a mechanism to auto- used to uphold data integrity constraints and are yet to be matically react to constraint violations had been identified rigorously defined for XML. To make trigger functionality as necessary [2–4]. Some of the most common areas where for XML databases as practical and applicable as it is in triggers can be used are: monitoring constraints on the data the relational context, the hierarchical nature of the XML [5–7], view maintenance [7], temporal changes [18], ver- data model must be considered. However, current research sioning [19] and logging manipulation of data [5]. However, several authors show how entire business logic can be incor- on XML triggers shows clear limitations with respect to porated into triggers [8]. multi-document applicability and ancestor-descendant rela- The W3C standard does not yet include an XML trigger tionships. support method [9]. Therefore, this paper investigates and We introduce path-level granularity in combination with discusses what is lacking in previous approaches, the rea- the novel concept of trigger scope, which plays a critical sons for these absences, and it considers solutions where the role in the validation of complex constraints. -
Semantic Web Technologies and Legal Scholarly Publishing Law, Governance and Technology Series
Semantic Web Technologies and Legal Scholarly Publishing Law, Governance and Technology Series VOLUME 15 Series Editors: POMPEU CASANOVAS, Institute of Law and Technology, UAB, Spain GIOVANNI SARTOR, University of Bologna (Faculty of Law – CIRSFID) and European, University Institute of Florence, Italy Scientific Advisory Board: GIANMARIA AJANI, University of Turin, Italy; KEVIN ASHLEY, University of Pittsburgh, USA; KATIE ATKINSON, University of Liverpool, UK; TREVOR J.M. BENCH-CAPON, University of Liv- erpool, UK; V. RICHARDS BENJAMINS, Telefonica, Spain; GUIDO BOELLA, Universita’degli Studi di Torino, Italy; JOOST BREUKER, Universiteit van Amsterdam, The Netherlands; DANIÈLE BOUR- CIER, University of Paris 2-CERSA, France; TOM BRUCE, Cornell University, USA; NURIA CASEL- LAS, Institute of Law and Technology, UAB, Spain; CRISTIANO CASTELFRANCHI, ISTC-CNR, Italy; JACK G. CONRAD, Thomson Reuters, USA; ROSARIA CONTE, ISTC-CNR, Italy; FRAN- CESCO CONTINI, IRSIG-CNR, Italy; JESÚS CONTRERAS, iSOCO, Spain; JOHN DAVIES, British Telecommunications plc, UK; JOHN DOMINGUE, The Open University, UK; JAIME DELGADO, Uni- versitat Politécnica de Catalunya, Spain; MARCO FABRI, IRSIG-CNR, Italy; DIETER FENSEL, Uni- versity of Innsbruck, Austria; ENRICO FRANCESCONI, ITTIG-CNR, Italy; FERNANDO GALINDO, Universidad de Zaragoza, Spain; ALDO GANGEMI, ISTC-CNR, Italy; MICHAEL GENESERETH, Stanford University, USA; ASUNCIÓN GÓMEZ-PÉREZ, Universidad Politécnica de Madrid, Spain; THOMAS F. GORDON, Fraunhofer FOKUS, Germany; GUIDO GOVERNATORI, NICTA, Australia; GRAHAM -
What Is Meaning? : Fundamentals of Formal Semantics Ebook, Epub
WHAT IS MEANING? : FUNDAMENTALS OF FORMAL SEMANTICS PDF, EPUB, EBOOK Paul H. Portner | 246 pages | 22 Apr 2009 | John Wiley and Sons Ltd | 9781405109185 | English | Chicester, United Kingdom What is Meaning? : Fundamentals of Formal Semantics PDF Book Portner covers all kinds of topics that aren't very well known in philosophy, and does so in such a way that they sound interesting, especially the topics towards the end of the book on varieties of pragmatic theories including dynamic semantics, which is something I'd like to find out more about. I wrote this when I was first wading into the subject and noticed that a lot of the stuff I was learning was not easy to find online in a concise beginner-level essay. This function is usually inductively defined. New books! Share this: Twitter Facebook. W3C has developed open specifications for Semantic Technology developers to follow and has identified, via open source development, the infrastructure parts that will be needed to scale in the Web and be applicable elsewhere. Other editions. Desalegn rated it really liked it Jun 07, Rating details. The work is presented extremely clearly and attractively, with very full notes at the end of each chapter, and it cannot but be, overall, an extremely useful and far-reaching presentation. Oxford: Blackwell Publishing, Emelie Vandenberg rated it really liked it Dec 11, Inference rules are functions that take in some set of strings and produce new ones. Participants will be introduced to the main theories that have influenced work in Formal Semantics, particularly Montague Grammar and the logical work of Frege, as well as the basics of Model Theory. -
Scientific Publishing
LOGOS Peer Review: Scientifi c Publishing: Disruption and Semantic Build-Up Frank Hellwig Abstract A new technology paired with a viable business model will have disruptive impact on incumbent companies in a specifi c market, if they do not re- evaluate and update their business models accord- ingly. As the Internet matures, Semantic Web technologies enable applications for meaning- based and dynamic fi ltering and processing of information, which has a disruptive impact on sci- Frank Hellwig is studying Publishing at Oxford entifi c publishing. Brookes University (MA) and Leipzig University of This article calls for publishers to adopt seman- Applied Sciences with a focus on scientifi c publish- tic technologies and emphasises the “need to in- ing. He has worked in digital publishing, for a journal clude a semantic strategy in their business models” subscription agency, in book retail, event manage- (Hawkins 2009). With a focus on journals as the ment and development aid in Germany, UK, France ‘cash cow’ of scientifi c publishers, it assembles de- and Bangladesh. bates about disruption and general tendencies in scientifi c publishing. An introduction to Semantic E-mail: [email protected] Web, Text Mining and Semantic Publishing is given a s well a s va riou s examples of product development s, company partnerships and acquisitions related to semantic technologies. Finally, different ways of acquiring semantic annotation data and fi nancial aspects of semantic enhancements are discussed. Keywords: scientifi c publishing, science, semantic web, linked data, natural language processing, text mining, business, disruption Disruptive Innovation According to Clayton Christensen (2008), dis- ruptive innovation makes a product simpler and more affordable. -
Websig: a Digital Signature Framework for the Web
WEBSIG: A DIGITAL SIGNATURE FRAMEWORK FOR THE WEB By James P. McCusker A Dissertation Submitted to the Graduate Faculty of Rensselaer Polytechnic Institute in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Major Subject: COMPUTER SCIENCE Examining Committee: Deborah L. McGuinness, Dissertation Adviser James Hendler, Member Peter Fox, Member Michel Dumontier, Member Rensselaer Polytechnic Institute Troy, New York July 2015 (For Graduation August 2015) c Copyright 2015 by James P. McCusker All Rights Reserved ii CONTENTS LIST OF TABLES . vi LIST OF FIGURES . vii ACKNOWLEDGMENT . viii ABSTRACT . .x 1. Introduction . .1 1.1 Background . .4 1.2 Legal Framework . .7 1.3 Use Case . .8 1.4 Introducing WebSig . .8 1.5 Organization . 10 2. Repudiation, Trust, and Computability in Web Documents . 11 2.1 Trusting Computable Documents on the Web . 14 2.1.1 Sufficient Qualities for Verifiable Computable Signature Schemes 16 2.2 Repudiation of a Signature . 18 2.2.1 Signatory Identification . 18 2.2.2 Intention to Sign . 19 2.2.3 Adoption of Document . 19 2.3 Minimizing Repudiation . 20 2.3.1 Signatory Identification . 21 2.3.2 Intention to Sign . 21 2.3.3 Adoption of Document . 22 3. Related Digital Signature Schemes . 23 3.1 Non-Cryptographic Signatures . 24 3.2 Basic Digital Signatures . 25 3.3 XML Digital Signatures . 26 3.4 RDF Digital Signatures . 27 3.5 Conclusions . 28 iii 4. Parallel Identities for Managing Open Government Data . 29 4.1 Introduction . 29 4.1.1 Use case: Trusting Integrated Data . 32 4.2 Related Work . -
JSON-LD 1.1 – a JSON-Based Serialization for Linked Data Gregg Kellogg, Pierre-Antoine Champin, Dave Longley
JSON-LD 1.1 – A JSON-based Serialization for Linked Data Gregg Kellogg, Pierre-Antoine Champin, Dave Longley To cite this version: Gregg Kellogg, Pierre-Antoine Champin, Dave Longley. JSON-LD 1.1 – A JSON-based Serialization for Linked Data. [Technical Report] W3C. 2019. hal-02141614v2 HAL Id: hal-02141614 https://hal.archives-ouvertes.fr/hal-02141614v2 Submitted on 28 Jan 2020 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. https://www.w3.org/TR/json-ld11/ JSON-LD 1.1 A JSON-based Serialization for Linked Data W3C Candidate Recommendation 12 December 2019 This version: https://www.w3.org/TR/2019/CR-json-ld11-20191212/ Latest published version: https://www.w3.org/TR/json-ld11/ Latest editor's draft: https://w3c.github.io/json-ld-syntax/ Test suite: https://w3c.github.io/json-ld-api/tests/ Implementation report: https://w3c.github.io/json-ld-api/reports/ Previous version: https://www.w3.org/TR/2019/WD-json-ld11-20191112/ Latest Recommendation: https://www.w3.org/TR/2014/REC-json-ld-20140116/ Editors: Gregg Kellogg (v1.0 and v1.1) Pierre-Antoine Champin -
Rdflib Documentation
rdflib Documentation Release 5.0.0-dev RDFLib Team Nov 01, 2018 Contents 1 Getting started 3 2 In depth 19 3 Reference 33 4 For developers 157 5 Indices and tables 171 Python Module Index 173 i ii rdflib Documentation, Release 5.0.0-dev RDFLib is a pure Python package work working with RDF. RDFLib contains most things you need to work with RDF, including: • parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, RDFa and Microdata. • a Graph interface which can be backed by any one of a number of Store implementations. • store implementations for in memory storage and persistent storage on top of the Berkeley DB. • a SPARQL 1.1 implementation - supporting SPARQL 1.1 Queries and Update statements. Contents 1 rdflib Documentation, Release 5.0.0-dev 2 Contents CHAPTER 1 Getting started If you never used RDFLib, click through these 1.1 Getting started with RDFLib 1.1.1 Installation RDFLib is open source and is maintained in a GitHub repository. RDFLib releases, current and previous are listed on PyPi The best way to install RDFLib is to use pip (sudo as required): $ pip install rdflib Support is available through the rdflib-dev group: http://groups.google.com/group/rdflib-dev and on the IRC channel #rdflib on the freenode.net server The primary interface that RDFLib exposes for working with RDF is a Graph. The package uses various Python idioms that offer an appropriate way to introduce RDF to a Python programmer who hasn’t worked with RDF before. RDFLib graphs are not sorted containers; they have ordinary set operations (e.g.