ERCIM News 96
July 2026
Special theme Linked Open Data
Guest editors Irini Fundulaki (Institute of Computer Science, FORTH) and Sören Auer (University of Bonn and Fraunhofer IAIS)
Linked Data: The Quiet Revolution
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by Wendy Hall
In 2014 we celebrate the twenty-fifth anniversary of the birth of the idea that became the World Wide Web. In March 1989, while working at CERN, Tim Berners-Lee wrote a document entitled “Information Management – a Proposal” which described his ideas for creating a hypertext system that worked over the internet to enable physicists and other researchers around the world to easily exchange documents [1]. I first heard about his ideas at the European Hypertext Conference (ECHT’90) in November 1990, where we presented our first paper on the Microcosm “open hypermedia system” that we had been developing at Southampton since 1989 [2]. I first saw Tim and his colleague Robert Cailliau demonstrate the system they had by then called the World Wide Web at the ACM Hypertext conference (HT’91) in December 1991. This was the conference that famously rejected their paper about the WWW but it also marked the beginning of the revolution that the Web has brought to all our lives – the killer application for the Internet, the disruptive technology that has changed the way we communicate and manage information forever.
Linked Open Data - Introduction to the Special Theme
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by Irini Fundulaki and Sören Auer
The Linked Data paradigm has emerged as a powerful enabler for publishing, enriching and sharing data, information and knowledge in the Web. It offers a set of best practices that promote the publication of data on the Web using semantic web technologies such as URIs and RDF, support the exchange of structured data to be done as easily as the sharing of documents, allow the creation of typed links between Web resources and offer a single, standardized access mechanism. In particular, the Linked Data shift is based on (1) using Universal Resource Identifiers (URIs) for identifying all kinds of “things”, (2) making these URIs accessible via the HTTP protocol and (3) providing a description of these things in the Resource Description Format (RDF) along with (4) URI links to related information (see Tim Berners-Lee’s Linked Data design principles http://www.w3.org/DesignIssues/LinkedData.html).
- Building Virtual Earth Observatories Using Scientific Database and Semantic Web Technologies
- GeoKnow: Making the Web an Exploratory Place for Geospatial Knowledge
- Open Education: A Growing, High Impact Area for Linked Open Data
- Raising the Stakes in Linked Data Education
- RITMARE: Linked Open Data for Italian Marine Research
- Lost in Semantics? Ballooning the Web of Data
- Publishing Greek Census Data as Linked Open Data
- Linked Open Vocabularies
- Linking Historical Entities to the Linked Open Data Cloud
- Benchmarking Linked Open Data Management Systems
- Making it Easier to Discover, Re-Use and Understand Search Engine Experimental Evaluation Data
- Analysing RDF Data: A Realm of New Possibilities
- The Web Science Observatory - The Challenges of Analytics over Distributed Linked Data Infrastructures
- SPARQL: A Gateway to Open Data on the Web?
- CODE Query Wizard and Vis Wizard: Supporting Exploration and Analysis of Linked Data
- AV-Portal - The German National Library of Science and Technology's Semantic Video Portal
- Browsing and Traversing Linked Data with LODmilla
- Diachronic Linked Data: Capturing the Evolution of Structured Interrelated Information on the Web
- Supporting the Data Lifecycle at a Global Publisher using the Linked Data Stack
- MonetDB/RDF: Discovering and Exploiting the Emergent Schema of RDF Data
- A SOLID Architecture to Weather the Storm of Real-Time Linked Data
- Ontology-based Integration of Heterogeneous and Distributed Information of the Marine Domain
- New President for ERCIM AISBL
- Future Plans and Strategy for ERCIM
- New Swiss ERCIM Member: the University of Geneva
- Small Data
- The D4Science Research-Oriented Social Networking Facilities
- ShapeForge: Modeling by Examples for 3D Printing
- Discriminating Between the Wheat and the Chaff in Online Recommendation Systems
- Uncovering Plagiarism - Author Profiling at PAN