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Metadata for Semantic and Social Applications
etadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008M will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Metadata for Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their Semantic and information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. Social Applications DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice. Edited by Jane Greenberg and Wolfgang Klas DC-2008 -
Provenance and Annotations for Linked Data
Proc. Int’l Conf. on Dublin Core and Metadata Applications 2013 Provenance and Annotations for Linked Data Kai Eckert University of Mannheim, Germany [email protected] Abstract Provenance tracking for Linked Data requires the identification of Linked Data resources. Annotating Linked Data on the level of single statements requires the identification of these statements. The concept of a Provenance Context is introduced as the basis for a consistent data model for Linked Data that incorporates current best-practices and creates identity for every published Linked Dataset. A comparison of this model with the Dublin Core Abstract Model is provided to gain further understanding, how Linked Data affects the traditional view on metadata and to what extent our approach could help to mediate. Finally, a linking mechanism based on RDF reification is developed to annotate single statements within a Provenance Context. Keywords: Provenance; Annotations; RDF; Linked Data; DCAM; DM2E; 1. Introduction This paper addresses two challenges faced by many Linked Data applications: How to provide, access, and use provenance information about the data; and how to enable data annotations, i.e., further statements about the data, subsets of the data, or even single statements. Both challenges are related as both require the existence of identifiers for the data. We use the Linked Data infrastructure that is currently developed in the DM2E project as an example with typical use- cases and resulting requirements. 1.1. Foundations Linked Data, the publication of data on the Web, enables easy access to data and supports the reuse of data. The Hypertext Transfer Protocol (HTTP) is used to access a Uniform Resource Identifier (URI) and to retrieve data about the resource. -
XML a New Web Site Architecture
XML A New Web Site Architecture Jim Costello Derek Werthmuller Darshana Apte Center for Technology in Government University at Albany, SUNY 1535 Western Avenue Albany, NY 12203 Phone: (518) 442-3892 Fax: (518) 442-3886 E-mail: [email protected] http://www.ctg.albany.edu September 2002 © 2002 Center for Technology in Government The Center grants permission to reprint this document provided this cover page is included. Table of Contents XML: A New Web Site Architecture .......................................................................................................................... 1 A Better Way? ......................................................................................................................................................... 1 Defining the Problem.............................................................................................................................................. 1 Partial Solutions ...................................................................................................................................................... 2 Addressing the Root Problems .............................................................................................................................. 2 Figure 1. Sample XML file (all code simplified for example) ...................................................................... 4 Figure 2. Sample XSL File (all code simplified for example) ....................................................................... 6 Figure 3. Formatted Page Produced -
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 -
XSAMS: XML Schema for Atomic, Molecular and Solid Data
XSAMS: XML Schema for Atomic, Molecular and Solid Data Version 0.1.1 Draft Document, January 14, 2011 This version: http://www-amdis.iaea.org/xsams/docu/v0.1.1.pdf Latest version: http://www-amdis.iaea.org/xsams/docu/ Previous versions: http://www-amdis.iaea.org/xsams/docu/v0.1.pdf Editors: M.L. Dubernet, D. Humbert, Yu. Ralchenko Authors: M.L. Dubernet, D. Humbert, Yu. Ralchenko, E. Roueff, D.R. Schultz, H.-K. Chung, B.J. Braams Contributors: N. Moreau, P. Loboda, S. Gagarin, R.E.H. Clark, M. Doronin, T. Marquart Abstract This document presents a proposal for an XML schema aimed at describing Atomic, Molec- ular and Particle Surface Interaction Data in distributed databases around the world. This general XML schema is a collaborative project between International Atomic Energy Agency (Austria), National Institute of Standards and Technology (USA), Universit´ePierre et Marie Curie (France), Oak Ridge National Laboratory (USA) and Paris Observatory (France). Status of this document It is a draft document and it may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use this document as reference materials or to cite them as other than “work in progress”. Acknowledgements The authors wish to acknowledge all colleagues and institutes, atomic and molecular database experts and physicists who have collaborated through different discussions to the building up of the concepts described in this document. Change Log Version 0.1: June 2009 Version 0.1.1: November 2010 Contents 1 Introduction 11 1.1 Motivation..................................... 11 1.2 Limitations..................................... 12 2 XSAMS structure, types and attributes 13 2.1 Atomic, Molecular and Particle Surface Interaction Data XML Schema Structure 13 2.2 Attributes .................................... -
Spatial Data Infrastructures and Linked Data
Spatial Data Infrastructures and Linked Data Carlos Granell Centre for Interactive Visualization Universitat Jaume I, Castellón, Spain Sven Schade European Commission - Joint Research Centre Institute for Environment and Sustainability, Ispra, Italy Gobe Hobona Centre for Geospatial Science University of Nottingham, Nottingham, United Kingdom ABSTRACT A Spatial Data Infrastructure (SDI) is a type of information infrastructure for enhancing geospatial data sharing and access. At the moment, we face the transition from the service-oriented second generation of SDI to a third generation, characterized by user-centric approaches. This new movement closes the gap between classical SDI and Volunteered Geographic Information (VGI). Public use and acquisition of information provides additional challenges within and beyond the geospatial domain. Linked data has been suggested recently as a possible overall solution. This notion refers to a best practice for exposing, sharing, and connecting resources in the (semantic) web. In this paper, we project the linked data approach to SDI and suggest it as a possibility to combine SDI with VGI. We advocate a Spatial Linked Data Infrastructure, which applies solutions for linked data to classical SDI standards. We detail different implementing strategies, give examples, and argue for benefits, while at the same time trying to outline possible fallbacks. We hope that this contribution will enlighten a way towards a single shared information space. 2 INTRODUCTION A Spatial Data Infrastructure (SDI) is a type of information infrastructure for enhancing geospatial data sharing and access. An SDI embraces a set of rules, standards, procedures, guidelines, policies, institutions, data, networks, technology and human resources for enabling and coordinating the management and exchange of geospatial data between stakeholders in the spatial data community (Nebert, 2004; Rajabifard et al., 2006; Masser, 2007). -
A Comparison of Two Navigational Aids for Hypertext Mark Alan Satterfield Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1992 A comparison of two navigational aids for hypertext Mark Alan Satterfield Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Business and Corporate Communications Commons, and the English Language and Literature Commons Recommended Citation Satterfield, Mark Alan, "A comparison of two navigational aids for hypertext" (1992). Retrospective Theses and Dissertations. 14376. https://lib.dr.iastate.edu/rtd/14376 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. A Comparison of two navigational aids for h3q5ertext by Mark Alan Satterfield A Thesis Submitted to the Gradxiate Facultyin Partial Fulfillment ofthe Requirements for the Degree of MASTER OF ARTS Department: English Major; English (Business and Technical Communication) Signatureshave been redactedforprivacy Iowa State University Ames, Iowa 1992 Copyright © Mark Alan Satterfield, 1992. All rights reserved. u TABLE OF CONTENTS Page ACKNOWLEDGEMENTS AN INTRODUCTION TO USER DISORIENTATION AND NAVIGATION IN HYPERTEXT 1 Navigation Aids 3 Backtrack 3 History 4 Bookmarks 4 Guided tours 5 Indexes 6 Browsers 6 Graphic browsers 7 Table-of-contents browsers 8 Theory of Navigation 8 Schemas ^ 9 Cognitive maps 9 Schemas and maps in text navigation 10 Context 11 Schemas, cognitive maps, and context 12 Metaphors for navigation ' 13 Studies of Navigation Effectiveness 15 Paper vs. -
Semantic Web
Semantic Web Ing. Federico Chesani Corso di Fondamenti di Intelligenza Artificiale M a.a. 2009/2010 7 Maggio 2010 Outline 1. Introduction a) The map of the Web (accordingly to Tim Berners-Lee) b) The current Web and its limits c) The Semantic Web idea d) Few examples of Semantic Web applications 2. Semantic Information (a bird’s eye view) a) Semantic Models b) Ontologies c) Few examples 3. Semantic Web Tools a) Unique identifiers -URI b) XML c) RDF and SPARQL d) OWL 4. Semantic Web: where are we? a) Problems against the success of SW proposal b) Critics against SW c) Few considerations d) Few links to start with The Web Map (by Berners-Lee) ©Tim Berners-Lee, http://www.w3.org/2007/09/map/main.jpg About the content Knowledge Representation Semantic Web Web The Web 1.0 … • Information represented by means of: – Natural language – Images, multimedia, graphic rendering/aspect • Human Users easily exploit all this means for: – Deducting facts from partial information – Creating mental asociations (between the facts and, e.g., the images) – They use different communication channels at the same time (contemporary use of many primitive senses) The Web 1.0 … • The content is published on the web with the principal aim of being “human-readable” – Standard HTML is focused on how to represent the content – There is no notion of what is represented – Few tags (e.g. <title>) provide an implicit semantics but … • … their content is not structured • … their use is not really standardized The Web 1.0 … We can identify the title by means of its representation (<h1>, <b>) … … what if tomorrow the designer changes the format of the web pages? <h1> <!-- inizio TITOLO --> <B> Finanziaria, il voto slitta a domani<br> Al Senato va in scena l'assurdo </B> <!-- fine TITOLO --> </h1> The Web 1.0 … • Web pages contain also links to other pages, but .. -
HTML5 Favorite Twitter Searches App Browser-Based Mobile Apps with HTML5, CSS3, Javascript and Web Storage
Androidfp_19.fm Page 1 Friday, May 18, 2012 10:32 AM 19 HTML5 Favorite Twitter Searches App Browser-Based Mobile Apps with HTML5, CSS3, JavaScript and Web Storage Objectives In this chapter you’ll: ■ Implement a web-based version of the Favorite Twitter Searches app from Chapter 5. ■ Use HTML5 and CSS3 to implement the interface of a web app. ■ Use JavaScript to implement the logic of a web app. ■ Use HTML5’s Web Storage APIs to store key-value pairs of data that persist between executions of a web app. ■ Use a CSS reset to remove all browser specific HTML- element formatting before styling an HTML document’s elements. ■ Save a shortcut for a web app to your device’s home screen so you can easily launch a web app. = DRAFT: © Copyright 1992–2012 by Deitel & Associates, Inc. All Rights Reserved. Androidfp_19.fm Page 2 Friday, May 18, 2012 10:32 AM 2 Chapter 19 HTML5 Favorite Twitter Searches App 19.1 Introduction 19.5 Building the App 19.2 Test-Driving the Favorite Twitter 19.5.1 HTML5 Document Searches App 19.5.2 CSS 19.5.3 JavaScript 19.3 Technologies Overview Outline 19.6 Wrap-Up 19.1 Introduction The Favorite Twitter Searches app from Chapter 5 allowed users to save their favorite Twit- ter search strings with easy-to-remember, user-chosen, short tag names. Users could then conveniently follow tweets on their favorite topics. In this chapter, we reimplement the Fa- vorite Twitter Searches app as a web app, using HTML5, CSS3 and JavaScript. -
Linked Data Overview and Usage in Social Networks
Linked Data Overview and Usage in Social Networks Gustavo G. Valdez Technische Universitat Berlin Email: project [email protected] Abstract—This paper intends to introduce the principles of Webpages, also possibly reference any Object or Concept (or Linked Data, show some possible uses in Social Networks, even relationships of concepts/objects). advantages and disadvantages of using it, aswell as presenting The second one combines the unique identification of the an example application of Linked Data to the field of social networks. first with a well known retrieval mechanism (HTTP), enabling this URIs to be looked up via the HTTP protocol. I. INTRODUCTION The third principle tackles the problem of using the same The web is a very good source of human-readable informa- document standards, in order to have scalability and interop- tion that has improved our daily life in several areas. By using erability. This is done by having a standard, the Resource De- rich text and hyperlinks, it made our access to information scription Framewok (RDF), which will be explained in section something more active rather than passive. But the web was III-A. This standards are very useful to provide resources that made for humans and not for machines, even though today are machine-readable and are identified by a URI. a lot of the acesses to the web are made by machines. This The fourth principle basically advocates that hyperlinks has lead to the search for adding structure, so that data is should be used not only to link webpages, but also to link more machine-readable. -
An Investigation Into World Wide Web Publishing with the Hypertext Markup Language Eric Joseph Cohen
Rochester Institute of Technology RIT Scholar Works Theses Thesis/Dissertation Collections 11-1-1995 An Investigation into world wide web publishing with the hypertext markup language Eric Joseph Cohen Follow this and additional works at: http://scholarworks.rit.edu/theses Recommended Citation Cohen, Eric Joseph, "An Investigation into world wide web publishing with the hypertext markup language" (1995). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by the Thesis/Dissertation Collections at RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. An Investigation into World Wide Web Publishing with the Hypertext Markup Language by Eric Joseph Cohen A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the School of Printing Management and Sciences in the College of Imaging Arts and Sciences of the Rochester Institute of Technology November 1995 Thesis Advisor: Professor Frank Romano School of Printing Management and Sciences Rochester Institute of Technology Rochester, New York Certificate of Approval Master1s Thesis This is to certify that the Master's Thesis of Eric joseph Cohen With a major in Graphic Arts Publishing has been approved by the Thesis Committee as satisfactory for the thesis requirement for the Master of Science degree at the convocation of November 1995 Thesis Committee: Frank Romano Thesis Advisor Marie Freckleton Graduate Program Coordinator C. Harold Goffin Director or Designate Title of Thesis: An Investigation into World Wide Web Publishing with the Hypertext Markup Language September 12, 1995 I, Eric Joseph Cohen, hereby grant permission to the Wallace Memorial Library of RIT to reproduce my thesis in whole or in part. -
Rdfs:Frbr– Towards an Implementation Model for Library Catalogs Using Semantic Web Technology
rdfs:frbr– Towards an Implementation Model for Library Catalogs Using Semantic Web Technology Stefan Gradmann SUMMARY. The paper sets out from a few basic observations (biblio- graphic information is still mostly part of the ‘hidden Web,’ library au- tomation methods still have a low WWW-transparency, and take-up of FRBR has been rather slow) and continues taking a closer look at Se- mantic Web technology components. This results in a proposal for im- plementing FRBR as RDF-Schema and of RDF-based library catalogues built on such an approach. The contribution concludes with a discussion of selected strategic benefits resulting from such an approach. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: <[email protected]> Web- site: <http://www.HaworthPress.com> © 2005 by The Haworth Press, Inc. All rights reserved.] Stefan Gradmann, PhD, is Head, Hamburg University “Virtual Campus Library” Unit, which is part of the computing center and has a mission of providing information management services to the university as a whole, including e-publication services and open access to electronic scientific information resources. Address correspondence to: Stefan Gradmann, Virtuelle Campusbibliothek Regionales Rechenzentrum der Universität Hamburg, Schlüterstrasse 70, D-20146 Hamburg, Germany (E-mail: [email protected]). [Haworth co-indexing entry note]: “rdfs:frbr–Towards an Implementation Model for Library Cata- logs Using Semantic Web Technology.” Gradmann, Stefan. Co-published simultaneously in Cataloging & Classification Quarterly (The Haworth Information Press, an imprint of The Haworth Press, Inc.) Vol. 39, No. 3/4, 2005, pp. 63-75; and: Functional Requirements for Bibliographic Records (FRBR): Hype or Cure-All? (ed: Patrick Le Boeuf) The Haworth Information Press, an imprint of The Haworth Press, Inc., 2005, pp.