Open Standards for the Semantic Web: XML / RDF(S) / OWL / SOAP
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This lecture elaborates on RDF, RDFS, and SOAP starting from a short recap of XML, and the history of the W3C and the development of "open standard recommendations". We also compare RDF triples with DOGMA lexons. We finalise by listing shortcomings of RDFS regarding semantics, and give short overview of the history of OWL as one answer to this. A full elaboration on OWL and description logic is for another lecture.
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XML Schema Patterns for DatabindingPaul Downey This document summarizes a presentation about the W3C XML Schema Patterns for Databinding Working Group. The working group aims to define patterns for how XML schemas can be more easily and reliably bound to data models. This will be done by specifying basic and advanced patterns, examples, and a detector to identify patterns in schemas. The goals are to improve the interoperability of databinding tools and help developers choose schemas that are more easily supported.
Markup As An Api
Markup As An ApiJean-Jacques Halans This document discusses the evolution of markup languages and semantic technologies on the web. It covers HTML, XML, RDF, OWL, microformats, CSS, HTML5, structured blogging, and client-side inclusion techniques like HInclude and Purple-Include. The overarching goals are to publish content once and share it across different formats and devices, add more semantic meaning that can be interpreted by machines, and create structured information like reviews and events that can be syndicated.
Ridingapachecamel
RidingapachecamelApache Event Beijing This document discusses the integration of Apache Servicemix and CXF. It provides an overview of JBI (Java Business Integration), components in JBI including binding components and service engines. It also discusses message exchange patterns, endpoints, and normalized message routing in JBI. Finally, it provides examples of WSDL definitions and Java interfaces used with JBI.
Creative Commons @ Seybold San Francisco 2004 - DRM Roundtable
Creative Commons @ Seybold San Francisco 2004 - DRM RoundtableMike Linksvayer This document summarizes a discussion on digital rights management (DRM) and rights description. It provides an example of using metadata to describe the license and permitted uses of a creative work according to a Creative Commons license. It also distinguishes between rights description, which promotes certain uses, and rights management, which focuses on restricting uses and protecting content.
Jsonsaga
Jsonsaganohmad The document discusses the history and development of JSON (JavaScript Object Notation). It describes how Douglas Crockford discovered JSON in 2001 and published the first JSON specification in 2002. It outlines some of the key decisions made in the design of JSON, such as requiring quoted keys and not including a version number to ensure stability. The document presents JSON as a minimal data interchange format influenced by languages like JavaScript, Python, and Lisp.
SPARQLing Services
SPARQLing ServicesLeigh Dodds The document discusses SPARQL, a query language for RDF data. It describes the key components of SPARQL, including its specification, query types, results format, and protocol. It also covers implementation issues for SPARQL services and provides examples of using SPARQL to query RSS feeds, geographical data, and more. Extensions discussed include querying by reference, XSLT transformation of results, and a JSON results format.
Xml Overview
Xml Overviewkevinreiss The document provides an overview of XML for catalogers in 2009, covering XML basics, XML and MARC formats, usage scenarios, XML tools, and experimentation. It discusses XML syntax, schemas, validation, transformations with XSLT, and how XML can be used within library applications and for cataloging. The presenter aims to provide an understanding of XML in the context of library work and highlight ways XML can be used, including as an export format from integrated library systems and for data sharing.
Douglas Crockford Presentation Jsonsaga
Douglas Crockford Presentation JsonsagaAjax Experience 2009 The document discusses the origins and development of JSON (JavaScript Object Notation). It describes how Douglas Crockford discovered JSON in 2001 and published the first JSON specification in 2002. It outlines some of the key decisions made in JSON's design, such as requiring quoted keys and allowing different programming languages to parse it.
The JSON Saga
The JSON Sagakaven yan The document discusses the origins and development of JSON (JavaScript Object Notation). It describes how Douglas Crockford discovered JSON in 2001 and published the first JSON specification in 2002. It outlines some of the key events in the early adoption of JSON, including its use for browser/server communication and as an alternative to XML.
The Lumber Mill Xslt For Your Templates
The Lumber Mill Xslt For Your TemplatesThomas Weinert The document discusses using XSLT for templates. It provides an overview of XSLT, comparing it to other template systems like PHP. Key aspects of XSLT covered include applying templates, importing templates, embedding output, and using EXSLT extensions. It also describes using XSLT with PHP, such as via a streamwrapper or callbacks, and caching transformed output.
Semantic Web
Semantic Webhardchiu The document provides an overview of the semantic web including its goals of making data meaningful and discoverable. It discusses approaches to building the semantic web such as RDF, RDFS, OWL, and SPARQL. It also covers microformats as a more practical approach and provides examples of using RDF, OWL, SPARQL, and various microformats.
Linked Data on Rails
Linked Data on RailsPatrick Sinclair The document discusses Linked Data and RDF, describing how data from different sources on the web can be connected using URIs, HTTP, and structured data formats like RDF. It provides examples of retrieving and representing data from DBpedia in RDF format using Ruby tools and libraries. It also discusses publishing RDF from a Rails application by adding MIME types and generating RDF representations.
Ontologias - RDF
Ontologias - RDFelliando dias This document provides an introduction to Resource Description Framework (RDF) and RDF XML. It defines key RDF concepts like URI references, qualified names, basic RDF triples, RDF graphs, and RDF Schema. It also explains how to represent RDF models and descriptions in RDF XML format using elements like rdf:RDF, rdf:Description, and properties. Examples are provided to illustrate RDF triples and RDF XML representations.
Getting Started With The Talis Platform
Getting Started With The Talis PlatformLeigh Dodds Developer training session providing an overview of the core features and services of the Talis Platform. Includes basic overview of REST and RDF
XSLT+SPARQL: Scripting the Semantic Web with SPARQL embedded into XSLT styles...
XSLT+SPARQL: Scripting the Semantic Web with SPARQL embedded into XSLT styles...Diego Berrueta This document introduces XSLT+SPARQL, which allows using SPARQL queries embedded in XSLT stylesheets to transform RDF data. It describes how XSLT is not well-suited for transforming RDF/XML due to its complex structure and graph-based data model. XSLT+SPARQL provides functions to execute SPARQL queries locally or remotely and retrieve results as standard XML, enabling further processing with XSLT. Examples demonstrate using it to generate HTML displays of RDF data from DBPedia and SKOS thesauri. The approach overcomes XSLT limitations for RDF and can be used to write declarative scripts for the semantic web.
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More from Pieter De Leenheer (8)
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...
TiE DC GovCon Panel on Emerging Technologies: AI/ML/Blockchain/Data Managemen...Pieter De Leenheer Pieter De Leenheer presented on the future of data and policy. Technologies have created new ways to use and value data. Data collection, processing, and sharing responsibilities have diffused and control of data has become less institutional. The cycles of data technology and policy have compressed in time. Public health crises will likely drive new data regulations, as the 2008 financial crisis and COVID-19 pandemic have previously done. There are opportunities to create value from AI but also increasing ethical and regulatory challenges to address regarding data use and privacy concerns. Multi-platform innovation, data sharing protocols, smart contracts, and education can help balance data innovation and policy requirements going forward.
MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...
MIT ICIQ 2017 Keynote: Data Governance and Data Capitalization in the Big Dat...Pieter De Leenheer We live in the age of abundant data. Through technology, more data is available, and the processing of that data easier and cheaper than ever before. But to realize the true value of this wealth of data, data leaders must rethink our assumptions, processes, and approaches to managing, governing, and stewarding that data. And to succeed, they must deliver credible, coherent, and trustworthy data into the hands of everyone who can use it.
Data Governance in a big data era
Data Governance in a big data eraPieter De Leenheer This document discusses data governance challenges in the era of big data and proposes solutions. It begins by outlining the rise of data-driven businesses and the challenges they face with data quality, access, and trust issues. This has led to the rise of the Chief Data Officer role. The document then discusses how data governance approaches need to shift from hierarchical systems of record to more networked systems of engagement to manage expanding data volumes and types from sources like IoT and big data analytics. Key challenges discussed include digitalizing trust in data and addressing risks from opaque big data models. The document proposes taking a hybrid governance approach and implementing a system of record for data assets to provide findability, understandability and trust for all organizational data. Example use
Data Governance in the Big Data Era
Data Governance in the Big Data EraPieter De Leenheer The document discusses challenges and opportunities for data governance in the era of big data. It argues that traditional hierarchical models of data governance are insufficient and that a hybrid approach is needed that combines hierarchical control with networked empowerment. Specifically, it recommends (1) focusing on digitalizing trust through social capital, (2) shifting from predictive analytics to lifetime customer value, and (3) establishing Chief Data Officer leadership to oversee a collaborative, hybrid approach.
The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer The document discusses implementing data governance and stewardship programs at universities. It provides examples of programs at Stanford University, George Washington University, and in the Flanders region of Belgium. The key aspects covered are:
- Establishing a data governance framework with roles, processes, asset definitions. and oversight council.
- Implementing data stewardship activities like data quality management, metadata development, and reference data management.
- Stanford's program established foundations for institutional research through data quality and context definitions.
- George Washington runs a centralized program managed by the IT governance office.
- The Flanders program provides research information and services across universities through consistent definitions, roles and collaborative workflows.
Business Semantics for Data Governance and Stewardship
Business Semantics for Data Governance and StewardshipPieter De Leenheer Data quality and regulations are perpetual drivers for Data Governance and Stewardship solutions that systematically monitor the execution of data policy. And yet, there is a long road ahead to achieve Trust in Data. It is still a relatively unknown topic or comes with trauma from past failed attempts; there is no political framework with executive champions, leading to reactive rather than proactive behavior, and software support is marginal.
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve a wide adoption and confluence of Data Trust between business and IT communities in the organization.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of data pain as a company grows, and we map their situation on this spectrum of semantics.
Next, we introduce the principles and framework for business semantics management to support data governance and stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with stories from the field.
Data Stewardship and Governance: how to reach global adoption and systematic ...
Data Stewardship and Governance: how to reach global adoption and systematic ...Pieter De Leenheer Data quality and regulations are perpetual drivers for Data Governance solutions that systematically monitor the execution of data policy. And yet, there is along road ahead to achieve Data Governance: the term is still relatively unknown, there is no political forum in the form of a Data Governance Council, and software support is moderate. Time for change ! Data Governance requires automation on the one hand and a wide adoption of business to ICT on the other.
In this lecture, we set out the basic principles to successful develop Data Governance. By way of example, we show how to translate this in Collibra's Data Governance Center. We pay particular attention to identifying and modelling data policies and rules, and to empowering them on the basis of data stewardship and configurable workflows across silos and functions in the organization. The example is drawn from the Flanders Research Information Space, where data quality is critical to drive and boost pan-European Research policy.
Business Service Semantics: Ontological Representation & Governance of Busine...
Business Service Semantics: Ontological Representation & Governance of Busine...Pieter De Leenheer The Internet would enable new ways for service innovation and trading, as well as for analysing the resulting value networks, with an unprecedented level of scale and dynamics. Yet most related eco- nomic activities remain of a largely brittle and manual nature. Service- oriented business implementations focus on operational aspects at the cost of value creation aspects such as quality and regulatory compliance. Indeed they enforce how to carry out a certain business in a prefixed non-adaptive manner rather than capturing the semantics of a business domain in a way that would enable service systems to adapt their role in changing value propositions. In this paper we set requirements for SDL- compliant business service semantics, and propose a method for their ontological representation and governance. We demonstrate an imple- mentation of our approach in the context of service-oriented Information Governance.
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In this book and presentation, I investigate the systemic issues that make creative work both exhilarating and unsustainable. Drawing on extensive research and in-depth interviews with media professionals, the hidden downsides of doing what you love get documented, analyzing how workplace structures, high workloads, and perceived injustices contribute to mental and physical distress.
All of this is not just about what’s broken; it’s about what can be done. The talk concludes with providing a roadmap for rethinking the culture of creative industries and offers strategies for balancing passion with sustainability.
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