A few useful Linked Data resources


Done a bit of semantic web work in the last couple of weeks, which gave me a chance to explore better the current web-scenario around this topic. I'm working on some example applications myself, but in the meanwhile I thought I'd share here a couple of quite useful links I ran into.

Development Tools:

  • Quick and Dirty RDF browser. It does just what is says: you pass it an rdf file and it helps you making sense of it. For example, check out the rdf graph describing the city of Southampton on DbPedia: http://dbpedia.org/resource/Southampton. Minimal, fast and useful!

  • Namespace lookup service for RDF developers. The intention of this service is to simplify a common task in the work of RDF developers: remembering and looking up URI prefixes.You can look up prefixes from the search box on the homepage, or directly by typing URLs into your browser bar, such as http://prefix.cc/foaf or http://prefix.cc/foaf,dc,owl.ttl.

  • Knoodl Knoodl is an online tool for creating, managing, and analyzing RDF/OWL descriptions. It has several features that support collaboration in all stages of these activities (eg it lets you create quite easily discussion forums around ontological modeling decisions). It's hosted in the Amazon EC2 cloud and can be used for free.

  • Rdf Goole chrome extensions. Just a list of extensions for Google Chrome that make working with rdf much simpler, for example by detecting rdf annotations embedded in HTML.

  • Get the data. Ask and answer questions about getting, using and sharing data! A StackOverflow clone that crowd-sources the task of finding out whether the data you need are available, and where.

Articles / Tutorials

  • Linked Data Guide for Newbies. It's primarily aimed at "people who're tasked with creating RDF and don't have time to faff around." It's a brief and practical introduction to some of the concepts and technical issues behind Linked Data - simple and effective, although it obviously hides all the most difficult aspects.

  • What you need to know about RDF+XML. Again, another gentle and practical intro.

  • Linked Data: design issues. One of the original articles by Berners Lee. It goes a little deeper into the theoretical issues involved with the Linked Data approach.

  • Linked Data: Evolving the Web into a Global Data Space. Large and thorough resource: this book is freely available online and contains all that you need to become a Linked Data expert - whatever that means!

  • Linked Data/RDF/SPARQL Documentation Challenge. A recent initiative aimed at pushing people to document the 'path to rdf' with as many languages and environments as possible. The idea is to move away from some kind of academic-circles-only culture and create something "closer to the Django introduction tutorial or the MongoDB quick start guide than an academic white paper". This blog post is definitely worth checking out imho, especially because of the wealth of responses it has elicited!

  • Introducing SPARQL: Querying the Semantic Web. An in-depth article at XML.com that introduces SPARQL - the query language and data access protocol for the Semantic Web.

  • A beginner’s guide to SPARQLing linked data. A more hands-on description of what SPARQL can do for you.

  • Linked Data: how to get your dataset in the diagram. So you've noticed the Linked Data bubbles growing bigger and bigger. Next step is - how to contribute and get in there? This article gives you all the info you need to know.

  • Semantic Overflow Answers.semanticweb.com. If you run out of ideas, this is the place where to ask for help!

Cite this blog post:


Michele Pasin. A few useful Linked Data resources. Blog post on www.michelepasin.org. Published on March 17, 2011.

Comments via Github:


See also:

2019


paper  Interlinking SciGraph and DBpedia datasets using Link Discovery and Named Entity Recognition Techniques

Second biennial conference on Language, Data and Knowledge (LDK 2019), Leipzig, Germany, May 2019.


2017



paper  Data integration and disintegration: Managing Springer Nature SciGraph with SHACL and OWL

Industry Track, International Semantic Web Conference (ISWC-17), Vienna, Austria, Oct 2017.



paper  Using Linked Open Data to Bootstrap a Knowledge Base of Classical Texts

WHiSe 2017 - 2nd Workshop on Humanities in the Semantic web (colocated with ISWC17), Vienna, Austria, Oct 2017.




2016



paper  Insights into Nature’s Data Publishing Portal

The Semantic Puzzle (online interview), Apr 2016.


2015


paper  Learning how to become a linked data publisher: the nature.com ontologies portal.

5th Workshop on Linked Science 2015, colocated with ISWC 2015., Bethlehem, USA, Sep 2015.


2013


2010




paper  Data integration perspectives from the London Theatres Bibliography project

Annual Conference of the Canadian Society for Digital Humanities / Société pour l'étude des médias interactifs (SDH-SEMI 2010), Montreal, Canada, Jun 2010.


2009



paper  Ontological Requirement for Supporting Smart Navigation of Philosophical Resources

PhD Thesis, Milton Keynes, UK, The Open University, Jul 2009.



paper  Laying the Conceptual Foundations for Data Integration in the Humanities

Proc. of the Digital Humanities Conference (DH09), Maryland, USA, Jun 2009. pp. 211-215




2006



paper  An ontology for the description and navigation through philosophical resources

European Conference on Philosophy and Computing (ECAP-06), Trondheim, Norway, Jun 2006.