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QuWeDa 2019 : QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data
QuWeDa 2019 : QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data

QuWeDa 2019 : QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data

Co-located with ISWC 2019 at Auckland NZ
Event Date: October 26, 2019 - October 26, 2019
Submission Deadline: July 05, 2019
Notification of Acceptance: July 29, 2019
Camera Ready Version Due: August 05, 2019




Call for Papers

The constant growth of Linked Data on the Web raises new challenges for querying and integrating massive amounts of data across multiple datasets. Such datasets are available through various interfaces, such as data dumps, Linked Data Platform, 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. To exploit the massive amount of data to its full potential, users should be able to query and combine this data easily and effectively. This workshop at the International Semantic Web Conference (ISWC) seeks original articles describing theoretical and practical methods and techniques for fostering, querying, consuming, and benchmarking the Web of Data.
This workshop at the International Semantic Web Conference 2019 (ISWC 2019) seeks original articles describing theoretical and practical methods and techniques for fostering, querying, and consuming the Data Web. Topics relevant to this workshop include - but are not limited to - the following:

.SPARQL query processing
.Centralized, decentralized, federated, and distributed
.Demos and applications
.Optimization and source selection
.Benchmarks, ranking, measures, and performance evaluation
.Lightweight Linked Data interfaces
.Streams
.Big Data techniques
.Entailment regimes
.Caching and replication
.Integrating public and private Linked Data
.Querying personal Linked Data stores
.Domain-specific query languages (e.g., temporal and spatial queries)
.Querying embedded Linked Data
.Query relaxation and rewriting
.Alternative languages for representing and querying the Web of Data


Credits and Sources

[1] QuWeDa 2019 : QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data


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