Re: ANN: Linked Media Framework 2.0 Release

Sebastian, all,
This is a fantastic bit of work. I am playing around with it and will see
where I get to.

I have found that to build out, just as in agile development, there should
be something (a framework) that touches all bases. Only then can I find my
way around and add where needed.

Interestingly I looked at Kiwi and found myself wishing for the modularised
approach I think you have achieved here.

Adam Saltiel

On 23 March 2012 17:58, Sebastian Schaffert <
sebastian.schaffert@salzburgresearch.at> wrote:

> Dear all,
>
> after months of work, we are happy to announce the general availability
> release of our Linked Media Framework 2.0 under Apache 2.0 License.
>
> LMF Server
> ==========
>
> The Linked Media Framework is an easy-to-setup server application that
> bundles central Semantic Web technologies to offer advanced services. In
> this release, the following modules are included:
> - LMF SPARQL offers complete SPARQL 1.1 Query and Update support for
> modifying
>  the triple store underlying the Linked Media Framework
> - LMF LD Path offers user-friendly querying over the Linked Data Cloud
> based
>  on the LDPath language
> - LMF Semantic Search offers a highly configurable Semantic Search service
>  based on Apache SOLR. Several semantic search indexes can be configured in
>  the same LMF instance.
> - LMF Linked Data Cache implements a cache to the Linked Data Cloud that is
>  transparently used when querying the content of the LMF using either
> LDPath
>  or the Semantic Search component. In case a local resource links to a
> remote
>  resource in the Linked Data Cloud and this relationship is queried, the
>  remote resource will be retrieved in the background and cached locally.
> - LMF Reasoner implements a rule-based reasoner that allows to process
>  Datalog-style rules over RDF triples; the LMF Reasoner is be based on the
>  reasoning component developed in the KiWi project, the predecessor of LMF
> - LMF Text Classification provides basic statistical text classification
>  services; multiple classifiers can be created, trained with sample data
> and
>  used to classify texts into categories
> - LMF Versioning implements versioning of metadata updates; the module
> allows
>  getting metadata snapshots for a resource for any time in its history and
>  provides an implementation of the memento protocol
>
> LMF Client Library
> ==================
>
> Accompanying the LMF server is a LMF Client Library, currently implemented
> for Java, PHP and Javascript, that allows simple access to the main
> functionalities of the LMF from several popular software development
> environments. The LMF Client Library is available as a separate download
> and can be used with local as well as remote LMF installations.
>
>
> Download
> =========
>
> Version 2.0.0 of the LMF has been released today. It is available for
> download in several different forms:
>
> - Standalone Installer (bundling Apache Tomcat, the LMF Server, and H2 db):
>  http://lmf.googlecode.com/files/lmf-standalone-2.0.0-installer.jar
>
>  Run with java -jar (or double-click) and follow the instructions
>
> - Java Web Application (for Jetty Tomcat and other Servlet containers):
>  http://lmf.googlecode.com/files/LMF-2.0.0.war
>
>  Deploy as usual in Tomcat or Jetty, but don't forget to set memory
>  parameters correctly (heap and permgenspace)
>
> - Source Code (requires Mercurial and Gradle):
>  http://code.google.com/p/lmf/source/checkout
>
> - Build Environment for custom projects (requires Gradle):
>  http://lmf.googlecode.com/files/lmf-buildenv-2.0.0.zip
>
>  Unzip, run "gradle jettyRun" or "gradle idea" … and start
>  implementing your own LMF extensions.
>
> - Maven Artifacts:
>  The core modules of the LMF are also available as Maven artifacts
>  at our Maven repository at
>  http://devel.kiwi-project.eu:8080/nexus/content/groups/public/
>
>
> Documentation
> =============
>
> We have tried to provide as much documentation as was possible so far.
> Here are some entry points:
>
> - Installation and Setup:
>  http://code.google.com/p/lmf/wiki/InstallationSetup
> - Introduction for Developers
>  http://code.google.com/p/lmf/wiki/DeveloperIntroduction
> - Java API:
>  http://doc.lmf.googlecode.com/hg/api/index.html
> - Webservice API:
>  http://doc.lmf.googlecode.com/hg/rest/overview-summary.html
>
> In general, the Wiki at Google Code (http://code.google.com/p/lmf/w/list)
> provides a good entry point.
>
>
> Scenarios
> =========
>
> Why another Linked Data Server? We had a number of scenarios in mind where
> the Linked Media Framework can offer you immediate benefit:
>
> 1. Quickly setting up a Linked Data server
>
> Setting up the LMF can be done in 5 minutes; together with Google
> Refine+RDF Extension, you can publish legacy structured data very quickly.
> I can give you a quick demo whenever you want ;-)
>
> 2. Building Media + Linked Data applications
>
> The LMF offers you to manage multimedia data (videos, images, etc) and the
> corresponding metadata (e.g. using Media Fragments URI and the Ontology for
> Media Resources). See our demo at WWW if you are interested.
>
> A demo installation with content from our partner Red Bull Mediahouse is
> available under:
> - http://labs.newmedialab.at/RedBull/video/redbull.html
>
> Note that this server still runs a pre-release version of the LMF Server.
> We will update the server to the final release in the next weeks.
>
> 3. Implementing Semantic Search based on Linked Data
>
> Another scenario we are working on is to facilitate Linked Data sources to
> improve full-text search over media content. For example, we are doing this
> together with Salzburger Nachrichten, one of the big Austrian news
> providers by interlinking news article content with Linked Data (GeoNames
> and others). As a side effect, we also have 1.1 million news articles
> published as Linked Data ;-)
>
> The dataset will be officially deployed under http://search.salzburg.comin the coming days. In the meantime, you can have a preview on the
> application and data at:
> - http://search-dev.salzburg.com/news/ (search interface)
> -
> http://search-dev.salzburg.com/news/resource?uri=http%3A%2F%2Fsearch.salzburg.com%2Fnews%2Fresource%2Fsn%2Fnews%2Fnacht_01.12.2011_41-36427556(sample resource, use with Firefox or some linked data client)
> -
> http://search-dev.salzburg.com/news/meta/text/html?uri=http%3A%2F%2Fsearch.salzburg.com%2Fnews%2Fresource%2Fsn%2Fnews%2Fnacht_01.12.2011_41-36427556(direct html link, any browser)
>
>
>
> If you have any questions don't hesistate to ask me or any of the
> colleagues at Salzburg Research. Have fun!
>
>
> Sebastian
> --
> | Dr. Sebastian Schaffert          sebastian.schaffert@salzburgresearch.at
> | Salzburg Research Forschungsgesellschaft  http://www.salzburgresearch.at
> | Head of Knowledge and Media Technologies Group          +43 662 2288 423
> | Jakob-Haringer Strasse 5/II
> | A-5020 Salzburg
>
>