Giant Global Graph. Well, it has been a long time since my last post here.
So many topics, so little time. Some talks, a couple of Design Issues articles, but no blog posts. To dissipate the worry of expectation of quality, I resolve to lower the bar. More about what I had for breakfast. So The Graph word has been creeping in. Maybe it is because Net and Web have been used. The Net we normally use as short for Internet, which is the International Information Infrastructure. Simpler, more powerful. Programmers could write at a more abstract level.
The word Web we normally use as short for World Wide Web. Also, it allowed unexpected re-use. So the Net and the Web may both be shaped as something mathematicians call a Graph, but they are at different levels. Now, people are making another mental move. Biologists are interested in proteins, drugs, genes. We can use the word Graph, now, to distinguish from Web. I called this graph the Semantic Web, but maybe it should have been Giant Global Graph!
Linked Data: Evolving the Web into a Global Data Space. Semweb4j. You know Java, and now You want to use semantic technologies or build semantic web applications?
No problem. Thesemweb4j project gives you simple libraries to do complicated things with Java and RDF. Very little semantic web knowledge is required.  Components & Download RDF2Go - a unified API to access RDF Models RDFReactor - generates convenient Java classes from an RDF Schema. For Maven users: Our release-repository lives here: .
 See also  Lessons  Lesson 1: RDF Models What is RDF?  Lesson 2: Files and queries Serialization: Read and write RDF files in different syntaxes Finding: Triple pattern queries Querying: SPARQL queries SELECT, CONSTRUCT, DESCRIBE and ASK.  Lesson 3: Multiple models Using mutltiple models What are Named Graphs?  Lesson 4: RDF Schema. Hypergraph Winfo.
RDF - Semantic Web Standards. Overview RDF is a standard model for data interchange on the Web.
RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications. This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. Recommended Reading The RDF 1.1 specification consists of a suite of W3C Recommendations and Working Group Notes, published in 2014.
A number of textbooks have been published on RDF and on Semantic Web in general. Discussions on a possible next version of RDF. Virtuoso. Jena Semantic Web Framework. Sesame. DBpedia. DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web.
DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself. News DBpedia Version 2014 releasedHi all, we are happy to announce the release of DBpedia 2014. DBpedia Spotlight V0.7 releasedDBpedia Spotlight is an entity linking tool for connecting free text to DBpedia through the recognition and disambiguation of entities and concepts from the DBpedia KB.
The DBpedia Knowledge Base Knowledge bases are playing an increasingly important role in enhancing the intelligence of Web and enterprise search and in supporting information integration. How to publish Linked Data on the Web. This document provides a tutorial on how to publish Linked Data on the Web.
After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web. This tutorial has been superseeded by the book Linked Data: Evolving the Web into a Global Data Space written by Tom Heath and Christian Bizer. This tutorial was published in 2007 and is still online for historical reasons. The Linked Data book was published in 2011 and provides a more detailed and up-to-date introduction into Linked Data.