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Linked Data

This category contains 62 posts

Denormalizing graph-shaped data

As nicely pointed out by Ilya Katsov: Denormalization can be defined as the copying of the same data into multiple documents or tables in order to simplify/optimize query processing or to fit the user’s data into a particular data model. So, I was wondering, why is – in Ilya’s write-up – denormalization not considered to be … Continue reading

Schema.org + WebIntents = Awesomeness

Imagine you search for a camera, say a Canon EOS 60D, and in addition to the usual search results you’re as well offered a choice of actions you can perform on it, for example share the result with a friend, write a review for the item or, why not directly buy it? Sounds far fetched? … Continue reading

Linked Data – the best of two worlds

On the one hand you have structured data sources such as relational DB, NoSQL datastores or OODBs and the like that allow you to query and manipulate data in a structured way. This typically involves schemata (either upfront with RDB or sort of dynamically with NoSQL that defines the data layout and the types of … Continue reading

Large-Scale Linked Data Processing: Cloud Computing to the Rescue?

At the upcoming 2nd International Conference on Cloud Computing and Services Science (CLOSER 2012) we – Robert Grossman, Andreas Harth, Philippe Cudré-Mauroux and myself – will present a paper with the title Large-Scale Linked Data Processing: Cloud Computing to the Rescue? and the following abstract: Processing large volumes of Linked Data requires sophisticated methods and … Continue reading

Synchronising dataspaces at scale

So, I have a question for you – how would you approach the following (engineering) problem? Imagine you have two dataspaces, a source dataspace, such as Eurostat with some 5000+ datasets that can take up to several GB in the worst case, and a target dataspace (for example, something like what we’re deploying in the … Continue reading

JSON, HTTP and data links

In late 2011, Mark Nottingham, whom I very much admire on a personal and professional level, posted ‘Linking in JSON‘ which triggered quite some discussion (see the comments there). Back then already I sensed that the community at large is ready for the next aspect of the Web. A scalable, machine-targeted way to realise a … Continue reading

Open Data – a virtual natural resource

A virtual natural resource? Doesn’t make sense, does it? Let me explain. Natural resources are derived from the environment. Many of them are essential for our survival while others are used for satisfying our wants. … is with Wikipedia says about natural resources. Now, some 150 years ago a handful of people saw the potential … Continue reading

… you end up with a graph

Quite often I hear people coming up with rather strange explanations why we use graphs, or to be more specific for the Web case, RDF. Some think that the reason is to make the developer’s life harder. Right. It’s so much easier to understand a key-value structure. And there are the ones who claim that … Continue reading

Libraries – an important and vibrant Linked Data application domain

In late 2009 I was contacted by Tom Baker, Emmanuelle Bermes and Antoine Isaac to help fund the Library Linked Data Incubator Group (XG) at W3C and although I personally didn’t actively contribute (more a hurler-on-the-ditch like commenting, really) I am really, really happy with the outcome. To be fair, DERI was very active after … Continue reading

JSON, data and the REST

Tomorrow, on 8.8. is the International JSON day. Why? Because I say so! Is there a better way to say ‘thank you’ to a person who gave us so much – yeah, I’m talking about Doug Crockford – and to acknowledge how handy, useful and cool the piece of technology is, this person ‘discovered‘? From … Continue reading

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