Open Geospatial Consortium Testbed 11 Implementing JSON/Geojson
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Show Guideguide Web Searching for GIS Services and Web Mapping Have Been Either Published Or an Introduction Adopted by OGC
showshow guideguide Web searching for GIS services and Web Mapping have been either published or An Introduction adopted by OGC. Who are OGC’s members? to OpenGIS There are three main levels of OGC membership: Principal, Technical and By Adam Gawne-Cain and Chris Holcroft Associate. The higher membership levels confer more voting rights. There are now OpenGIS is the activity pursued by the Open GIS over 300 members featuring 20 Principal members and 25 Technical members from Consortium (OGC). OpenGIS seeks to achieve around the globe. transparent access to disparate geo-data and geo- The membership of OGC is impressively processing resources in a networked environment by broad. Most major GIS companies are members, along with database companies, providing a rich suite of open interface specifications. operating system companies, national mapping agencies, large government These interface specifications will enable GIS developers departments, universities and research to create inter-operable components that provide this institutes. The membership is international, but mainly focused in North transparency. America and Europe. The difference between OpenGIS and A second advantage of OGC’s interface- How does OGC make Interface previous attempts to standardise GIS is based approach is that users can be sure Specifications? that OGC agrees interfaces, and not that they are looking at genuine, live data, Every two months, the OGC Technical neutral file formats. The problem with and not at a static file generated some time Committee (TC) and Management neutral file formats (e.g. SDTS or NTF) in the past. Committee (MC) meet for a week. was that specifications grew so complex The meetings are held in different that each GIS could only support a sub-set A third, practical advantage of interfaces locations around the world, hosted by one of the format. -
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. -
Mapping Between Digital Identity Ontologies Through SISM
Mapping between Digital Identity Ontologies through SISM Matthew Rowe The OAK Group, Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK [email protected] Abstract. Various ontologies are available defining the semantics of dig- ital identity information. Due to the rise in use of lowercase semantics, such ontologies are now used to add metadata to digital identity informa- tion within web pages. However concepts exist in these ontologies which are related and must be mapped together in order to enhance machine- readability of identity information on the web. This paper presents the Social identity Schema Mapping (SISM) vocabulary which contains a set of mappings between related concepts in distinct digital identity ontolo- gies using OWL and SKOS mapping constructs. Key words: Semantic Web, Social Web, SKOS, OWL, FOAF, SIOC, PIMO, NCO, Microformats 1 Introduction The semantic web provides a web of machine-readable data. Ontologies form a vital component of the semantic web by providing conceptualisations of domains of knowledge which can then be used to provide a common understanding of some domain. A basic ontology contains a vocabulary of concepts and definitions of the relationships between those concepts. An agent reading a concept from an ontology can look up the concept and discover its properties and characteristics, therefore interpreting how it fits into that particular domain. Due to the great number of ontologies it is common for related concepts to be defined in separate ontologies, these concepts must be identified and mapped together. Web technologies such as Microformats, eRDF and RDFa have allowed web developers to encode lowercase semantics within XHTML pages. -
Cityjson: a Compact and Easy-To-Use Encoding of the Citygml Data Model
CityJSON: A compact and easy-to-use encoding of the CityGML data model Hugo Ledoux Ken Arroyo Ohori Kavisha Kumar Balazs´ Dukai Anna Labetski Stelios Vitalis This is the author’s version of the work. It is posted here only for personal use, not for redistribution and not for commercial use. The definitive version will be published in the journal Open Geospatial Data, Software and Standards soon. H. Ledoux, K. Arroyo Ohori, K. Kumar, B. Dukai, A. Labetski, and S. Vitalis (2018). CityJ- SON: A compact and easy-to-use encoding of the CityGML data model. Open Geospatial Data, Software and Standards, In Press. DOI: http://dx.doi.org/10.1186/s40965-019-0064-0 Full details of the project: https://cityjson.org The international standard CityGML is both a data model and an exchange for- mat to store digital 3D models of cities. While the data model is used by several cities, companies, and governments, in this paper we argue that its XML-based ex- change format has several drawbacks. These drawbacks mean that it is difficult for developers to implement parsers for CityGML, and that practitioners have, as a con- sequence, to convert their data to other formats if they want to exchange them with others. We present CityJSON, a new JSON-based exchange format for the CityGML data model (version 2.0.0). CityJSON was designed with programmers in mind, so that software and APIs supporting it can be quickly built. It was also designed to be compact (a compression factor of around six with real-world datasets), and to be friendly for web and mobile development. -
Understanding and Working with the OGC Geopackage Keith Ryden Lance Shipman Introduction
Understanding and Working with the OGC Geopackage Keith Ryden Lance Shipman Introduction - Introduction to Simple Features - What is the GeoPackage? - Esri Support - Looking ahead… Geographic Things 3 Why add spatial data to a database? • The premise: - People want to manage spatial data in association with their standard business data. - Spatial data is simply another “property” of a business object. • The approach: - Utilize the existing SQL data access model. - Define a simple geometry object. - Define well known representations for passing structured data between systems. - Define a simple metadata schema so applications can find the spatial data. - Integrate support for spatial data types with commercial RDBMS software. Simple Feature Model 10 area1 yellow Feature Table 11 area2 green 12 area3 Blue Feature 13 area4 red Geometry Feature Attribute • Feature Tables contain rows (features) sharing common properties (Feature Attributes). • Geometry is a Feature Attribute. Database Simple Feature access Query Connection model based on SQL Cursor Value Geometry Type 1 Type 2 Spatial Geometry (e.g. string) (e.g. number) Reference Data Access Point Line Area Simple Feature Geometry Geometry SpatialRefSys Point Curve Surface GeomCollection LineString Polygon MultiSurface MultiPoint MultiCurve Non-Instantiable Instantiable MultiPolygon MultiLineString Some of the Major Standards Involved • ISO 19125, Geographic Information - Simple feature access - Part 1: common architecture - Part 2: SQL Option • ISO 13249-3, Information technology — Database -
Linked Data Schemata: Fixing Unsound Foundations
Linked data schemata: fixing unsound foundations. Kevin Feeney, Gavin Mendel Gleason, Rob Brennan Knowledge and Data Engineering Group & ADAPT Centre, School of Computer Science & Statistics, Trinity College Dublin, Ireland Abstract. This paper describes an analysis, and the tools and methods used to produce it, of the practical and logical implications of unifying common linked data vocabularies into a single logical model. In order to support any type of reasoning or even just simple type-checking, the vocabularies that are referenced by linked data statements need to be unified into a complete model wherever they reference or reuse terms that have been defined in other linked data vocabularies. Strong interdependencies between vocabularies are common and a large number of logical and practical problems make this unification inconsistent and messy. However, the situation is far from hopeless. We identify a minimal set of necessary fixes that can be carried out to make a large number of widely-deployed vocabularies mutually compatible, and a set of wider-ranging recommendations for linked data ontology design best practice to help alleviate the problem in future. Finally we make some suggestions for improving OWL’s support for distributed authoring and ontology reuse in the wild. Keywords: Linked Data, Reasoning, Data Quality 1. Introduction One of the central tenets of the Linked Data movement is the reuse of terms from existing well- known vocabularies [Bizer09] when developing new schemata or datasets. The semantic web infrastructure, and the RDF, RDFS and OWL languages, support this with their inherently distributed and modular nature. In practice, through vocabulary reuse, linked data schemata adopt knowledge models that are based on multiple, independently devised ontologies that often exhibit varying definitional semantics [Hogan12]. -
OGC Testbed-14: Semantically Enabled Aviation Data Models Engineering Report
OGC Testbed-14 Semantically Enabled Aviation Data Models Engineering Report Table of Contents 1. Summary . 4 1.1. Requirements & Research Motivation . 4 1.2. Prior-After Comparison. 4 1.3. Recommendations for Future Work . 5 1.4. What does this ER mean for the Working Group and OGC in general . 6 1.5. Document contributor contact points . 6 1.6. Foreword . 6 2. References . 8 3. Terms and definitions . 9 3.1. Semantics . 9 3.2. Service Description. 9 3.3. Service-Oriented Architecture (SOA) . 9 3.4. Registry . 9 3.5. System Wide Information Management (SWIM) . 9 3.6. Taxonomy . 9 3.7. Web Service . 10 4. Abbreviated Terms . 11 5. Overview . 12 6. Review of Data Models . 13 6.1. Information Exchange Models . 13 6.1.1. Flight Information Exchange Model (FIXM). 13 6.1.2. Aeronautical Information Exchange (AIXM) Model. 13 6.1.3. Weather Information Exchange Model (WXXM) . 14 6.1.4. NASA Air Traffic Management (ATM) Model . 14 6.2. Service description models . 19 6.2.1. Service Description Conceptual Model (SDCM) . 19 6.2.2. Web Service Description Ontological Model (WSDOM). 23 6.2.3. SWIM Documentation Controlled Vocabulary (FAA) . 25 7. Semantic Enablement Approaches . 27 8. Metadata level semantic enablement . 33 8.1. Issues with existing metadata standards . 34 8.1.1. Identification of Resources. 34 8.1.2. Resolvable URI. 34 8.1.3. Multilingual Support . 35 8.1.4. External Resource Descriptions . 35 8.1.5. Controlled Vocabulary Management . 36 8.1.6. Keywords Types . 37 8.1.7. Keyword Labeling Inconsistencies . -
OWL 2 Web Ontology Language XML Serialization W3C Proposed Recommendation 22 September 2009
OWL 2 Web Ontology Language XML Serialization W3C Proposed Recommendation 22 September 2009 OWL 2 Web Ontology Language XML Serialization W3C Proposed Recommendation 22 September 2009 This version: http://www.w3.org/TR/2009/PR-owl2-xml-serialization-20090922/ Latest version: http://www.w3.org/TR/owl2-xml-serialization/ Previous version: http://www.w3.org/TR/2009/CR-owl2-xml-serialization-20090611/ (color-coded diff) Editors: Boris Motik, Oxford University Computing Laboratory Bijan Parsia, University of Manchester Peter F. Patel-Schneider, Bell Labs Research, Alcatel-Lucent Contributors: (in alphabetical order) Sean Bechhofer, University of Manchester Bernardo Cuenca Grau, Oxford University Computing Laboratory Achille Fokoue, IBM Corporation Rinke Hoekstra, University of Amsterdam This document is also available in these non-normative formats: PDF version. Copyright © 2009 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. Page 1 of 35 http://www.w3.org/TR/2009/PR-owl2-xml-serialization-20090922/ OWL 2 Web Ontology Language XML Serialization W3C Proposed Recommendation 22 September 2009 This document specifies an XML serialization for OWL 2 that mirrors its structural specification. -
XHTML+Rdfa 1.1 - Third Edition Table of Contents
XHTML+RDFa 1.1 - Third Edition Table of Contents XHTML+RDFa 1.1 - Third Edition Support for RDFa via XHTML Modularization W3C Recommendation 17 March 2015 This version: http://www.w3.org/TR/2015/REC-xhtml-rdfa-20150317/ Latest published version: http://www.w3.org/TR/xhtml-rdfa/ Implementation report: http://www.w3.org/2010/02/rdfa/wiki/CR-ImplementationReport Previous version: http://www.w3.org/TR/2014/PER-xhtml-rdfa-20141216/ Previous Recommendation: http://www.w3.org/TR/2013/REC-xhtml-rdfa-20130822/ Editor: Shane McCarron, Applied Testing and Technology, Inc., [email protected] Please check the errata for any errors or issues reported since publication. This document is also available in these non-normative formats: XHTML+RDFa, Diff from Previous Recommendation, Postscript version, and PDF version The English version of this specification is the only normative version. Non-normative translations may also be available. Copyright © 2007-2015 W3C® (MIT, ERCIM, Keio, Beihang). W3C liability, trademark and document use rules apply. Abstract RDFa Core 1.1 [RDFA-CORE [p.61] ] defines attributes and syntax for embedding semantic markup in Host Languages. This document defines one such Host Language. This language is a superset of XHTML 1.1 [XHTML11-2e [p.61] ], integrating the attributes as defined in RDFa Core 1.1. This document is intended for authors who want to create XHTML Family documents that embed rich semantic markup. - 1 - Status of This Document XHTML+RDFa 1.1 - Third Edition Status of This Document This section describes the status of this document at the time of its publication. -
State of the Semantic Web
State of the Semantic Web Ivan Herman, W3C Sunday, 18 May, 2008 (2) > So where are we with the Semantic Web? State of the Semantic Web, Ivan Herman (2) Copyright © 2008, W3C (3) > We have the basic technologies Stable specifications for the basics since 2004: RDF, OWL Work is being done to properly incorporate rules We have a standard for query since 2008: SPARQL We have some additional technologies to access/create RDF data: GRDDL, RDFa, POWDER, … Some fundamental vocabularies became pervasive (FOAF, Dublin Core,…) State of the Semantic Web, Ivan Herman (3) Copyright © 2008, W3C (4) > Lots of Tools (not an exhaustive list!) • Triple Stores • Middleware • RDFStore, AllegroGraph, Tucana • IODT, Open Anzo, DartGrid • RDF Gateway, Mulgara, SPASQL • Ontology Works, Ontoprise • Jena’s SDB, D2R Server, SOR • Profium Semantic Information Router • Virtuoso, Oracle11g • Software AG’s EII, Thetus Publisher, Asio, SDS • Sesame, OWLIM, Tallis Platform • … • … • Semantic Web Browsers • Reasoners • Disco, Tabulator, Zitgist, OpenLink Viewer • Pellet, RacerPro, KAON2, FaCT++ • … • Ontobroker, Ontotext • Development Tools SHER, Oracle 11g, AllegroGraph • • SemanticWorks, Protégé • … • Jena, Redland, RDFLib, RAP • Converters • Sesame, SWI-Prolog • flickurl, TopBraid Composer • TopBraid Composer, DOME • GRDDL, Triplr, jpeg2rdf • … • … • Semantic Wiki and CMS systems • Search Engines • Semantic Media Wiki, Platypus • Falcon, Sindice, Swoogle • Visual knowledge • … • Drupal 7 Inspired by “Enterprise Semantic Web in Practice”, Jeff Pollock, Oracle. See also -
Standardization's All Very Well, but What About the Exabytes of Existing
Standardization’s all very well, but what about the Exabytes of Existing Content and Learner Contributions? Felix Mödritscher 1), Victor Manuel García-Barrios 2) 1) Institute for Information Systems and New Media, Vienna University of Economics and Business Administration, Augasse 2-6, 1090 Vienna, Austria [email protected] 2) Institute for Information Systems and Computer Media, Graz University of Technology, Inffeldgasse 16c, 8010 Graz, Austria [email protected] 1. Problem Definition Standardization in the field of technology-enhanced learning focuses on structuring and aggregating assets to interoperable educational entities, like a course package. However, available standards and specifications in this area do not include an approach for addressing semantics embedded in existing content. This consideration might be useful for user-centered concepts, like learners tagging or commenting existing material, as well as for automated mechanism, like extracting relations or other meta-information automatically from the resources. In the upcoming section we indicate application areas and explain why available standards and specifications do not support these scenarios. Thereafter, we present a XML- based description language for semantics embedded in web-based content, which might be a solution for these use cases. Finally, we summarize and discuss some experiences on in- content semantics from former projects, particularly AdeLE (Adaptive e-Learning with Eye- tracking, http://adele.fh-joanneum.at) and iCamp (http://icamp.eu), and give an outlook on future work. 2. Application Areas and Shortcomings of Standards In 2004 we came in the situation that we had to cope with semantic enrichment of existing learning content, precisely to enable facilitators to tag web-based resources. -
RIF in RDF W3C Working Draft 22 June 2010
RIF In RDF W3C Working Draft 22 June 2010 RIF In RDF W3C Working Draft 22 June 2010 This version: http://www.w3.org/TR/2010/WD-rif-in-rdf-20100622/ Latest version: http://www.w3.org/TR/rif-in-rdf/ Editors: Sandro Hawke, W3C/MIT This document is also available in these non-normative formats: PDF version. Copyright © 2010 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract This document specifies a reversible mapping (or transformation) from Rule Interchange Format (RIF) XML documents to Resource Description Framework (RDF) graphs. This mapping allows the contents of RIF documents to be interoperably stored and processed as RDF triples, using existing serializations and tools for RDF. When used with the standard mapping from RDF triples to RIF frames, this also provides a "reflection" or "introspection" mechanism, an interoperable way for RIF rules to operate on RIF documents. Status of this Document May Be Superseded This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/ TR/. Page 1 of 17 http://www.w3.org/TR/2010/WD-rif-in-rdf-20100622/ RIF In RDF W3C Working Draft 22 June 2010 Set of Documents This document is being published as one of a set of 11 documents: 1. RIF Overview 2. RIF Core Dialect 3. RIF Basic Logic Dialect 4.