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LWDM 2014 : 4th International Workshop on Linked Web Data Management

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Link: http://www.ing.unibs.it/~bianchin/LWDM2014/Home.html
 
When Mar 28, 2014 - Mar 28, 2014
Where Athens, Greece
Submission Deadline Dec 6, 2013
Categories    databases   data mining
 

Call For Papers



The joint application of data management and Semantic Web competencies, through the design of new models, languages and tools, has turned out to be very useful to enable the use of the Web as a huge, interlinked, dynamic repository of linked resources. A good starting point is the introduction of a data management perspective within the Linked Data world, up to now mainly focused on publishing, retrieving, querying, browsing and mashing-up the ever growing amount of linked data in a meaningful way. The fruitful combination of knowledge coming from data management, Semantic Web and Linked Data fields enables also to better exploit the Web 2.0 potential, where people and applications discover new linked information in an unexpected way, according to an explorative perspective, moving through linked sources of knowledge.

The fourth edition of the International Workshop on Linked Web Data Management (LWDM) maintains the same goal of the first three editions, aiming at stimulating participants to discuss about data management issues related to the Linked Data and the relationships with other Semantic Web technologies, and at the same time proposes a glance at new issues. On the one hand, Web 2.0 contents such as blogs, forums, wikis, user's reviews and shared resources are now first class citizens of the modern Web 2.0. On the other hand, the Web is increasingly assuming a social perspective, where also the relationships between users might play a crucial role in finding the right resources in an efficient way. Web 2.0 and social Web contents might be fruitfully exploited as additional (possibly linked) sources of knowledge in the Linked Data world to access and explore linked resources. Nevertheless, the amount of such contents requires the innovative application of data management tools.

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