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Workshop on Querying the Web of Data (QuWeDa 2017)
Half Day Workshop at ESWC2017, Portoroz, Slovenia
The constant growth of Linked Open Data (LOD) on the Web opens new challenges pertaining to querying such massive amounts of publicly available data. LOD datasets are available through various interfaces, such as data dumps, SPARQL endpoints and triple pattern fragments. In addition, various sources produce streaming data. Efficiently querying these sources is of central importance for the scalability of Linked Data and Semantic Web technologies. The trend of publicly available and interconnected data is shifting the focus of Web technologies towards new paradigms for Linked Data querying. To exploit the massive amount of LOD data to its full potential, users should be able to query and combine this data easily and effectively.
This workshop at the Extended Semantic Web Conference (ESWC) seeks original articles describing theoretical and practical methods and techniques for fostering, querying, and consuming the Data Web.
More information on QuWeDa 2017 Workshop can be found here: https://sites.google.com/site/quweda2017/