The Social Semantic Web constitutes the next evolutionary step of the World Wide Web (WWW) by combining semantic technologies with social computing paradigms (Breslin et. al. 2009).

A core concept of the Social Semantic Web is Linked Data, which allows for publishing and interlinking data in a machine understandable way on the WWW. Linked Data builds on established W3C techniques, such as Unique Resource Identifiers (URI) for uniquely identifying data sources, the Resource Description Framework (RDF) for semantic representation of those data sources and SPARQL as query language for data access.

One recent result is the Linked Open Data (LOD) cloud, which aims at massively connecting available information in all domains, e.g., Friend of a Friend (FOAF), DBPedia, Linked Life Data, GeoData as well as academic data. The LOD cloud currently includes over 100 different datasets and has been growing from one billion triples and 250k RDF links in mid-2007 to 25 billion triples and 395 million RDF links in September 2010 (Heath & Bizer 2011).

Successful web systems and technologies need to fulfil three core criterions:

  1. an active community of users
  2. smart services utilizing the systems data
  3. a clear and well-defined added value provided by data and services

However, poor usability, reliability, quality and, most importantly, a lack of added value in Linked Open Data hinders its widespread adoption. This was perfectly outlined by database, semantic web and machine learning experts:

“For broader adoption of semantic web techniques, two main challenges arguably exist:

  1. lack of good use cases
  2. ever existing data integration troubles

that makes creating links so hard.“

(Christian Bizer, Peter Boncz, Michael L. Brodie, Orri Erling, The Meaningful Use of Big Data: Four Perspectives – Four Challenges, submitted to SIGMOD Record, Fall 2011)

In order to grow usage around LOD, CODE’s vision is to establish the foundation of a web-based, commercially oriented ecosystem for Linked Open Data. This ecosystem, realized as a web-based platform named (Linked) Open Data Store, will serve as broker between information providers and their interested consumers.