Data

Linked Data Basics for Techies - OpenOrg Intended Audience This is intended to be a crash course for a techie/programmer who needs to learn the basics ASAP. It is not intended as an introduction for managers or policy makers (I suggest looking at Tim Berners-Lee's TED talks if you want the executive summary). It's primarily aimed at people who're tasked with creating RDF and don't have time to faff around. It will also be useful to people who want to work with RDF data. Please Feedback-- especially if something doesn't make sense!!!! If you are new to RDF/Linked Data then you can help me! I put a fair bit of effort into writing this, but I am too familar with the field! If you are learning for the first time and something in this guide isn't explained very well, please drop me a line so I can improve it. cjg@ecs.soton.ac.uk Warning Some things in this guide are deliberately over-simplified. Alternatives If you don't like my way of explaining things, then there's other introductions out there; (suggest more!) Structure Merging URI vs URL a

The Linking Open Data cloud diagram Taxonomy and Recirculation The taxonomy’s main job is to help users explore the site, and it can only do that if the tags and categories are used consistently. We wanted a system that was easy for editors to manage, with clear guidelines for how to apply tags and categories to posts. When we looked at the original taxonomy on The Toast, we found, well, the exact opposite of what we wanted. The Old Toast: Like your closet, but with more piles of random stuff Peeking inside The Toast uncovered a big ol’ stew of tags. The complete tags list, as you can imagine, was a hot mess. Some tags were topical: disabilitythe great outdoorstravel Some grouped posts into recurring series: two monks inventing thingstexts fromwatching downton abbey with an historian Some were funny: opinions i formed when i was thirteen with no life experienceat least one of you is going to tell me that elementary is better but that’s just because you like lucy liulicorice is disgusting The New Toast: Your closet after a visit to the Container Store

Linked Data: Evolving the Web into a Global Data Space Linked Open Data Find now everything about Europeana Linked Open Data- data.europeana. eu on: labs.europeana.eu Linked Open Data is a way of publishing structured data that allows metadata to be connected and enriched, so that different representations of the same content can be found, and links made between related resources. Linked Open Data - What is it? from Europeana on Vimeo (also in French, German, Italian and Spanish). The data roadmap for IBM’s first CDO | IBM Big Data & Analytics Hub This year, at the 2016 Spring CDO Summit, IBM Chief Data Officer Inderpal Bhandari gave a forward looking presentation about his plans for IBM’s data strategy. Among the topics covered were a general data strategy applicable to many CDOs, a description of cognitive technology, and more specific details about how he will personally move forward in his new role. While a full replay of the presentation is available, a brief recap is also provided below. Inderpal pointed to five activities that are important for a data strategy plan. Sequential Developing a clear data strategy. Concurrent Building deep data and analytics partnerships with business units. “In terms of nurturing talent, the open source angle is critical.” Cognitive systems are also an important consideration, and Inderpal reviewed their four main attributes: Their primary value is expertise. Inderpal finished his presentation by speaking a bit more specifically about his plans for the data strategy at IBM.

sameAs New York Times - Linked Open Data Linked Data Platform 1.0 5.1 Introduction This section is non-normative. Many HTTP applications and sites have organizing concepts that partition the overall space of resources into smaller containers. To which URLs can I POST to create new resources? This document defines the representation and behavior of containers that address these issues. This document includes a set of guidelines for creating new resources and adding them to the list of resources linked to a container. The following illustrates a very simple container with only three members and some information about the container (the fact that it is a container and a brief title): Example 1 # The following is the representation of # # @base < @prefix dcterms: < This example is very straightforward - there is the containment triple with subject of the container, predicate of ldp:contains and objects indicating the URIs of the contained resources. Example 2 Example 3 Example 4 Example 5

Linked Data | Linked Data - Connect Distributed Data across the Web Getty Vocabularies as LOD The Getty vocabularies are constructed to allow their use in linked data. A project to publish AAT, TGN, ULAN, and CONA to the LOD (Linked Open Data) cloud is underway. The documents on this page contain news and presentations about releasing the Getty vocabularies as LOD. These materials are subject to frequent modification and addition. News and Status of the Project Ontology update: Note that the ontology has changed. Additional releases: Plans are in place to release the other vocabularies as LOD on the following dates: ULAN in January 2015 and the CONA demo in July 2015. Other formats: In addition to LOD, we plan to continue providing the data in relational tables and XML releases. Working with the community: We have established an open community and we welcome collaboration. For questions and comments about editorial content or general information regarding the Getty Vocabularies, please contact us at vocab@getty.edu What Is LOD?

LODLAM - Linked Open Data in Libraries, Archives & Museums Basic Semantic Concepts | Semantic Strategy Inc What is an Ontology? An ontology formally represents knowledge as a set of concepts within a domain, and the relationships among those concepts. The World Wide Web Consortium (W3C) uses the word vocabulary, but they can essentially mean the same thing: Vocabularies define the concepts and relationships (also referred to as “terms”) used to describe and represent an area of concern. Vocabularies are used to classify the terms that can be used in a particular application, characterize possible relationships, and define possible constraints on using those terms. The role of vocabularies on the Semantic Web are to help data integration when, for example, ambiguities may exist on the terms used in the different data sets, or when a bit of extra knowledge may lead to the discovery of new relationships. What is a Triple? A triple is a data entity composed of subject-predicate-object, like “Bob is a Person” or “Bob knows Fred”. Examples of triples: Ted Derek Alexandria has employee has supervisor Jimmy