Embedding Semantic Markup in Web Pages
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
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 -
PDF Formats; the XHTML Version Has Active Links That You Can Follow
Semantic Web @ W3C: Activities, Recommendations and State of Adoption Athens, GA, USA, 2006-11-09 Ivan Herman, W3C Ivan Herman, W3C RDF(S), tools We have a solid specification since 2004: well defined (formal) semantics, clear RDF/XML syntax Lots of tools are available. Are listed on W3C’s wiki: RDF programming environment for 14+ languages, including C, C++, Python, Java, Javascript, Ruby, PHP,… (no Cobol or Ada yet ) 13+ Triple Stores, ie, database systems to store datasets 16+ general development tools (specialized editors, application builders, …) etc Ivan Herman, W3C RDF(S), tools (cont.) Note the large number of large corporations among the tool developers: Adobe, IBM, Software AG, Oracle, HP, Northrop Grumman, … …but the small companies and independent developers also play a major role! Some of the tools are Open Source, some are not; some are very mature, some are not : it is the usual picture of software tools, nothing special any more! Anybody can start developing RDF-based applications today Ivan Herman, W3C RDF(S), tools (cont.) There are lots of tutorials, overviews, or books around the wiki page on books lists 20+ (English) textbooks; 19+ proceedings for 2005 & 2006 alone… again, some of them good, some of them bad, just as with any other areas… Active developers’ communities Ivan Herman, W3C Large datasets are accumulating IngentaConnect bibliographic metadata storage: over 200 million triplets UniProt Protein Database: 262 million triplets RDF version of Wikipedia: more than 47 million triplets RDFS/OWL Representation -
Opera Software the Best Browsing Experience on Any Device
Opera Software The best browsing experience on any device The best Internet experience on any device Web Standards for the Future – Bruce Lawson, Opera.com • Web Evangelist, Opera • Tech lead, Law Society & Solicitors Regulation Authority (2004-8) • Author 2 books on Web Standards, edited 2 • Committee member for British Standards Institution (BSI) for the new standard for accessible websites • Member of Web Standards Project: Accessibility Task Force • Member of W3C Mobile Best Practices Working Group Web Standards for the Future – Bruce Lawson, Opera.com B.A., Honours English Literature and Language with Drama Theresa is blind But she can use the Web if made with standards The big picture WWW The big picture Western Western Web A web (pre)history • 1989 TBL proposes a project • 1992 <img> in Mosaic beta. Now 99.57% (MAMA) • 1994 W3C started at MIT • 1996 The Browser Wars • 1999 WAP, Web Content Accessibility Guidelines (WCAG) • 2000 Flash Modern web history • 2000-ish .com Crash - Time to grow up... • 2002 Opera Mobile with Small Screen Rendering • 2005 WHAT-WG founded, W3C Mobile Web Initiative starts • 2007 W3C adopts WHAT-WG spec as basis for HTML 5 • January 22, 2008 First public working draft of HTML 5 Standards at Opera • 25 employees work on standards • Mostly at W3C - a big player • Working on many standards • Bringing new work to W3C • Implementing Standards properly (us and you!) (Web Standards Curriculum www.opera.com/wsc) Why standards? The Web works everywhere - The Web is the platform • Good standards help developers: validate; separate content and presentation - means specialisation and maintainability. -
Rdfa in XHTML: Syntax and Processing Rdfa in XHTML: Syntax and Processing
RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing A collection of attributes and processing rules for extending XHTML to support RDF W3C Recommendation 14 October 2008 This version: http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014 Latest version: http://www.w3.org/TR/rdfa-syntax Previous version: http://www.w3.org/TR/2008/PR-rdfa-syntax-20080904 Diff from previous version: rdfa-syntax-diff.html Editors: Ben Adida, Creative Commons [email protected] Mark Birbeck, webBackplane [email protected] Shane McCarron, Applied Testing and Technology, Inc. [email protected] Steven Pemberton, CWI Please refer to the errata for this document, which may include some normative corrections. This document is also available in these non-normative formats: PostScript version, PDF version, ZIP archive, and Gzip’d TAR archive. The English version of this specification is the only normative version. Non-normative translations may also be available. Copyright © 2007-2008 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The current Web is primarily made up of an enormous number of documents that have been created using HTML. These documents contain significant amounts of structured data, which is largely unavailable to tools and applications. When publishers can express this data more completely, and when tools can read it, a new world of user functionality becomes available, letting users transfer structured data between applications and web sites, and allowing browsing applications to improve the user experience: an event on a web page can be directly imported - 1 - How to Read this Document RDFa in XHTML: Syntax and Processing into a user’s desktop calendar; a license on a document can be detected so that users can be informed of their rights automatically; a photo’s creator, camera setting information, resolution, location and topic can be published as easily as the original photo itself, enabling structured search and sharing. -
Designing and Implementing the OP and OP2 Web Browsers
Designing and Implementing the OP and OP2 Web Browsers CHRIS GRIER, SHUO TANG and SAMUEL T. KING, University of Illinois at Urbana-Champaign Current web browsers are plagued with vulnerabilities, providing hackers with easy access to computer systems via browser-based attacks. Browser security efforts that retrofit existing browsers have had lim- ited success because the design of modern browsers is fundamentally flawed. To enable more secure web browsing, we design and implement a new browser, called the OP web browser, that attempts to improve the state-of-the-art in browser security. We combine operating system design principles with formal methods to design a more secure web browser by drawing on the expertise of both communities. Our design philosophy is to partition the browser into smaller subsystems and make all communication between subsystems sim- ple and explicit. At the core of our design is a small browser kernel that manages the browser subsystems and interposes on all communications between them to enforce our new browser security features. To show the utility of our browser architecture, we design and implement three novel security features. First, we develop flexible security policies that allow us to include browser plugins within our security framework. Second, we use formal methods to prove useful security properties including user interface invariants and browser security policy. Third, we design and implement a browser-level information-flow tracking system to enable post-mortem analysis of browser-based attacks. In addition to presenting the OP browser architecture, we discuss the design and implementation of a second version of OP, OP2, that includes features from other secure web browser designs to improve on the overall security and performance of OP. -
CODATA Workshop on Big Data Programme Book
Sponsor I CODACODATA S UU Co-Sponsors Organizer Workshop on Big Data for International Scientific Programmes CONTENTS I. Sponsoring Organizations International Council for Science (ICSU) I. Sponsoring Organizations 2 The International Council for Science (ICSU) is a the international scientific community to II. Programme 7 non-governmental organization with a global strengthen international science for the benefit of membership of national scientific bodies society. (121members, representing 141 countries) and international scientific unions (31 members). ICSU: www.icsu.org III. Remarks and Abstracts 13 ICSU mobilizes the knowledge and resources of Committee on Data for Science and Technology (CODATA) IV. Short Biography of Speakers 28 I CODACODATA S UU V. Conference Venue Layout 41 CODATA, the ICSU Committee on Data for Science challenges and ‘hot topics’ at the frontiers and Technology, was established in 1966 to meet of data science (through CODATA Task a need for an international coordinating body to Groups and Working Groups and other improve the management and preservation of initiatives). VI. General Information 43 scientific data. CODATA has been at the forefront 3. Developing data strategies for international of data science and data policy issues since that science programmes and supporting ICSU date. activities such as Future Earth and Integrated About Beijing 43 Research on Disaster Risk (IRDR) to address CODATA supports ICSU’s mission of ‘strengthening data management needs. international science for the benefit of society’ by ‘promoting improved scientific and technical data Through events like the Workshop on Big Data for About the Workshop Venue 43 management and use’. CODATA achieves this International Scientific Programmes and mission through three strands of activity: SciDataCon 2014, CODATA collaborates with 1. -
Automated Cross-Browser Compatibility Testing
Automated Cross-Browser Compatibility Testing ∗ Ali Mesbah Mukul R. Prasad Electrical and Computer Engineering Trusted Systems Innovation Group University of British Columbia Fujitsu Laboratories of America Vancouver, BC, Canada Sunnyvale, CA, USA [email protected] [email protected] ABSTRACT web browsers render web content somewhat differently [18, With the advent of Web 2.0 applications and new browsers, 24, 25, 26]. However, the scope and impact of this problem the cross-browser compatibility issue is becoming increas- has been rapidly growing due to two, fairly recent trends. ingly important. Although the problem is widely recognized First, modern, rich-content web applications have a heavy among web developers, no systematic approach to tackle client-side behavioral footprint, i.e., they are designed to ex- it exists today. None of the current tools, which provide ecute significant elements of their behavior exclusively on the screenshots or emulation environments, specifies any notion client-side, typically within the web browser. Further, tech- of cross-browser compatibility, much less check it automat- nologies such as Ajax [12], Flash, and event-handling for ically. In this paper, we pose the problem of cross-browser dynamic HTML, which support this thick-client behavior, compatibility testing of modern web applications as a `func- are the very aspects in which web browsers differ. tional consistency' check of web application behavior across Second, recent years have seen an explosion in the num- different web browsers and present an automated solution ber of available web browsers. There are nearly 100 different for it. Our approach consists of (1) automatically analyzing web browsers available today [31]. -
Enhancing JSON to RDF Data Conversion with Entity Type Recognition
Enhancing JSON to RDF Data Conversion with Entity Type Recognition Fellipe Freire, Crishane Freire and Damires Souza Academic Unit of Informatics, Federal Institute of Education, Science and Technology of Paraiba, João Pessoa, Brazil Keywords: RDF Data Conversion, Entity Type Recognition, Semi-Structured Data, JSON Documents, Semantics Usage. Abstract: Nowadays, many Web data sources and APIs make their data available on the Web in semi-structured formats such as JSON. However, JSON data cannot be directly used in the Web of data, where principles such as URIs and semantically named links are essential. Thus it is necessary to convert JSON data into RDF data. To this end, we have to consider semantics in order to provide data reference according to domain vocabularies. To help matters, we present an approach which identifies JSON metadata, aligns them with domain vocabulary terms and converts data into RDF. In addition, along with the data conversion process, we provide the identification of the semantically most appropriate entity types to the JSON objects. We present the definitions underlying our approach and results obtained with the evaluation. 1 INTRODUCTION principles of this work is using semantics provided by the knowledge domain of the data to enhance The Web has evolved into an interactive information their conversion to RDF data. To this end, we use network, allowing users and applications to share recommended open vocabularies which are data on a massive scale. To help matters, the Linked composed by a set of terms, i.e., classes and Data principles define a set of practices for properties useful to describe specific types of things publishing structured data on the Web aiming to (LOV Documentation, 2016). -
Where Is the Semantic Web? – an Overview of the Use of Embeddable Semantics in Austria
Where Is The Semantic Web? – An Overview of the Use of Embeddable Semantics in Austria Wilhelm Loibl Institute for Service Marketing and Tourism Vienna University of Economics and Business, Austria [email protected] Abstract Improving the results of search engines and enabling new online applications are two of the main aims of the Semantic Web. For a machine to be able to read and interpret semantic information, this content has to be offered online first. With several technologies available the question arises which one to use. Those who want to build the software necessary to interpret the offered data have to know what information is available and in which format. In order to answer these questions, the author analysed the business websites of different Austrian industry sectors as to what semantic information is embedded. Preliminary results show that, although overall usage numbers are still small, certain differences between individual sectors exist. Keywords: semantic web, RDFa, microformats, Austria, industry sectors 1 Introduction As tourism is a very information-intense industry (Werthner & Klein, 1999), especially novel users resort to well-known generic search engines like Google to find travel related information (Mitsche, 2005). Often, these machines do not provide satisfactory search results as their algorithms match a user’s query against the (weighted) terms found in online documents (Berry and Browne, 1999). One solution to this problem lies in “Semantic Searches” (Maedche & Staab, 2002). In order for them to work, web resources must first be annotated with additional metadata describing the content (Davies, Studer & Warren., 2006). Therefore, anyone who wants to provide data online must decide on which technology to use. -
Mathematical Model of Semantic Look-An Efficient Context Driven Search
Mathematical Model of Semantic Look - An Efficient Context Driven Search Engine Leena Giri Ga, Srikanth P La, Manjula S Ha, K R Venugopal a, L M Patnaikb aDepartment of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore 560 001 India, Contact: [email protected]. bHonorary Professor, IISc., Bangalore. The World Wide Web (WWW) is a huge conservatory of web pages. Search Engines are key applications that fetch web pages for the user query. In the current generation web architecture, search engines treat keywords provided by the user as isolated keywords without considering the context of the user query. This results in a lot of unrelated pages or links being displayed to the user. Semantic Web is based on the current web with a revised framework to display a more precise result set as response to a user query. The current web pages need to be annotated by finding relevant meta data to be added to each of them, so that they become useful to Semantic Web search engines. Semantic Look explores the context of user query by processing the Semantic information recorded in the web pages. It is compared with an existing algorithm called OntoLook and it is shown that Semantic Look is a better optimized search engine by being more than twice as fast as OntoLook. Keywords : Ontology, RDF, Semantic Web. 1. INTRODUCTION the web page playing multiple roles. Both Ontolo- gies and RDF are embedded in web pages forming Semantic Web (Web 3.0) is the proliferation of the semantic annotation of a web page.