Rww. Linked Data at the Guardian | Open Platform. The semantic web is given a rough raking by the syntactic web, and it is not impossible to see why when you first get taken down the SPARQL/RDF/Ontology rabbit hole. It is not great fun learning to develop with the semantic web today. (As an aside, using a semi-SQL model as a primary metaphor in SPARQL did not help me personally. But then, SQL has always seemed like an assembly language designed by Prolog programmers) But the capability to use semantic data to accurately join data is fantastically powerful. More seriously, you decide your music application could benefit from a bit of descriptive text and some mashed up functionality.
But in general, ours is a cruel universe. In the MusicBrainz/Wikipedia case, there is a deeper semantic option. There are two things happening here, two sides of the semantic question. What we did... We took the Last.fm path, and extended the Guardian's Content API to include non-Guardian identifiers. How we did it... (Tip: The MusicBrainz API is XML only. Linked Data FAQ. Linked data is the first practical expression of the semantic Web, useful and doable today, and applicable to all forms of data. Sources such as the four principles of linked data in Tim Berners-Lee's Design Issues: Linked Data and the introductory statements on the linked data Wikipedia entry approximate -- but do not completely express -- an accepted or formal or official definition of linked data per se.
Building from these sources and attempting to be more precise, here is the definition of linked data used internally by Structured Dynamics: Linked data is a set of best practices for publishing and deploying instance and class data using the RDF data model, and uses uniform resource identifiers (URIs) to name the data objects. The approach exposes the data for access via the HTTP protocol, while emphasizing data interconnections, interrelationships and context useful to both humans and machine agents. All references to linked data below embrace this definition. 1. 2. No. 3. 4. 5. 6. L’intérêt de l’OpenApi pour les entreprises. Le système d’information des entreprises est généralement un système fermé.
Ce n’est pas forcément par crainte d’intrusion, ou de malveillance, mais parce que la philosophie de base du monde industriel est qu’il y a une vie dans l’entreprise, une vie en dehors de l’entreprise, et que la frontière entre les deux doit être simple: fermée, avec quelques points de passage bien surveillés, par exemple par une machine inventée par IBM en 1912 (l’horloge pointeuse) faisant office de système d’information, et une logique basée sur l’horaire qui permet de faire une barrière temporelle entre le dedans et le dehors. Bien évidemment, le monde a changé. Plusieurs frontières entre l’intérieur et l’extérieur de l’entreprise, entre la sphère privée et la sphère professionnelle, ont explosé. Les systèmes d’information, traditionnellement fermés, ont été bouleversés par la philosophie ouverte de l’Internet. Observons ce qui se passe dans le monde de la politique.
Est-ce utopique? Young Lives Linked Data Demonstrator : Tim's Blog. [Summary: showcasing linked data for development project] Over the past month or so I’ve been working for IKM Emergent on a demonstrator project to explore the potential implications of linked data for information management in the development sector – seeking put a small sub-section of the survey micro-data from the Young Lives longitudinal study online in order to explore the process and potential of generating linked data in development-focussed settings. The results of that project are now live and online for the time being, and accessible here. The most visually interesting part of the demonstrator (thanks to the work or Rupert Redington at NeonTribe) is the Comparator tool which does some pretty clever things to identify ‘Data Cubes’ in the Young Lives linked data dataset we’ve published, and to offer (in the case of the smoking prevalence data) comparisons between the Young Lives dataset, and another comparable dataset we’ve also loaded into our Young Lives datastore.
Share photos on Twitter. Virtuoso Linked Data Deployment In 3 Simple Steps. Well, someone had to … — Linked Data Matters. ISKO–UK Linked Data Conference, 26/10/10, WRAP repository blog. Writing about web page **Finally getting round to making this live after having to put off the editing for OAW and the start of term! ** This event, hosted by UCL, was one that I had been looking forward to for some time. Whether or not linked data is the 'next big thing' in web technology, and one that has to potential to solve a number of thorny problems for the administrators and maintainers of web resources in the face of increasingly complex demands, is a question that only time will answer.
However as it stands at present linked data has enormous potential as a service and as a tool and I wanted to find out more before I started getting any awkward questions from stakeholders! The sessions on the day were a nice mix of technical and non-technical and my biggest fear of being lost before the end of the keynote was mercifully misplaced. Richard Wallis for Talis Information took us on a ‘Linked Data Journey’ next. Veille Oct. II « What is Data Quality? There are several different opinions and definitions on what data quality is supposed to be. Most of the time, we adapt the “fitness for use by data consumers” definition as defined by Richard Wang and Diane Strong [1] who investigated the subjective quality perception of data quality by data consumers.
Although this research work has been a milestone in data quality research, in my opinion data quality is not necessarily always subjective. Imagine valid combinations of cities and countries or accurate population values. Who defines these quality measures? Surely not an individual. Real-world phenomena (e.g. city/country combinations)Organizational policies (e.g. all TV’s in my data must have a screen size)Legal regulations (e.g. all groceries must have an expiration date)IT-needs (e.g. So reflecting the sources of data quality definitions, I would define data quality as the degree to which data fits to the composed requirements for the task at hand.
. [1] Wang, R. So what can I do with the new Ordnance Survey Linked Data? « John’s Weblog. In a previous post I wrote up some of the features of the new Ordnance Survey Linked Data. In this blog post I want to run through a concrete example of the sort of thing you can build using this linked data. A while ago Talis built their BIS Explorer. The aim of this application was to allow users to “identify centres of excellence at the click of a button” and more can be read about the application here.
This data mash-up took different data sources about funded research projects and joined them together using linked data. In the original application you could, for example, look at funded research projects by European Region in Great Britain. This can be seen here. At the time this demo was created Ordnance Survey was yet to publish its postcode data as linked data, but if they had it would have been very easy to get a more fine grained view of research projects down at the county and district level.
The basic data model of the original BIS data was fairly straight forward. Like this: