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. RDF is a data structure perfect for people creating mash-ups! 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 (suggest more!) Structure Tree data: (JSON, XML.) Graph data: (RDF). RDFa

http://openorg.ecs.soton.ac.uk/wiki/Linked_Data_Basics_for_Techies

Related: teaching: Linked Data

Understanding SKOS with an example Ontology : An ontology formally defines a common set of terms that are used to describe and represent a domain. An ontology is domain specific, and it is used to describe and represent an area of knowledge. It contains terms and the relationships among these terms. There is another level of relationship expressed by using a special group of terms: properties. owl:sameAs owl:sameAs is an OWL built-in property used to link an individual to an individual. Such an owl:sameAs statement indicates that two URI references actually refer to the same thing: the individuals have the same "identity". In N3 syntax = is a synonym for owl:sameAs.

MO - the Movie Ontology In the following, the movie ontology MO is described. The overview of the defined concepts are presented in Figure â€œConcept overview of the movie ontologyâ€. Overview of the movie ontology domain Movie related concepts Documentation - COEUS COEUS has now the capability to share your data in the Nanopublication format. With this new plugin you can transform your integrated data in this prominent format by following the next steps: Go to the Nanopublication Section on the Dashboard. Select the concept root and related data that will generate the nanopublications.

TAPoR TAPoR 3 Discover research tools for studying texts. Filters: Narrow the Selection of Tools URL, URN, URI, IRI - Why So Many? Computer guys tend to lack imagination, especially when they work with acronyms. This may lead to a lot of funny stuff. Let’s look at the following acronyms, for instance: URI, URN, URL, and IRI. In interviews I like to ask this question and only once a guy was able to give an almost 100% correct answer. Somehow, I was not particularly surprised about it, as even widely adopted specifications contain subtle mistakes.

Access Innovations Q? What can I do with a taxonomy? A. You can use a taxonomy in many ways: Provide a common language basis for all activities within an organization.Coordinate documents, people, and activities by using the same descriptive terminology throughout.Categorize content (documents) using taxonomy terms.Search the data in your database by taxonomy term.Use taxonomy terms as metadata for HTML records.Use the taxonomy as a browsable topic list in a portal or web site. For more detail on the business utility of a taxonomy, see this Taxodiary article. Linked Data OCLC has been working with Linked Data for several years. As can be seen from the publishing of the Dewey Decimal Classification (DDC), the Virtual International Authorities File (VIAF) and Faceted Application of Subject Terminology (FAST) as linked data. The release of experimental WorldCat Linked Data in June 2012 was another milestone in the exposure of WorldCat.org bibliographic metadata as linked data. The OCLC linked data strategy is an evolving mix of Linked Open Data (LOD) and Linked Enterprise Data (LED). This means that we will have incremental releases of new data and services, as we better understand how to model and publish the information.