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 of 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. Topics relevant to this workshop include -- but are not limited to -- the following:
Centralized, federated, and distributed SPARQL query processing
SPARQL query processing in streams
Temporal and spatial queries
Querying embedded Linked Data
Caching and replication in SPARQL query processing
Query processing under entailment regimes
SPARQL query processing in Map-Reduce and Big Data
SPARQL query optimization and source selection
SPARQL query processing benchmarks, especially those focusing on multiple measures
Ranking, measures, and performance evaluation of SPARQL querying engines
Query relaxation and rewriting
SPARQL query processing demos and applications
Lightweight Linked Data interfaces for querying
Live Linked Data querying
Query execution over Linked Data Fragments interfaces
Dividing query execution between clients and servers
User interfaces for querying
Security and privacy in querying the Web of Data
Alternative languages for querying the Web of Data

Submission Information

The workshop accepts the following types of submissions:

Long papers (up to 15 pages): Describe methods pertaining to querying the Web of Data in details
Short papers (up to 8 pages): Describe approaches or ideas / challenges on the topics of the workshop.
Demo papers (up to 4 pages): Describe a demo or poster of a tool on the workshop topics.
Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer’s Author Instructions. Papers should be submitted through the EasyChair system https://easychair.org/conferences/?conf=quweda2017. Submissions will be reviewed by members of the workshop program committee. Accepted papers will be included in the ESWC 2017 Workshop on QuWeDa 2017 proceedings.