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
. Analysis of the SPARQL query logs, i.e., real queries

*Submission Information*

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:​​​​​​​

. Long papers (up to 15 pages): Presenting novel scientific research pertaining to
querying the Web of Data
. Short papers (up to 8 pages): Position papers, System, Library, API and Dataset
descriptions, relevant to the topics of interest.
. Demo/Poster papers (up to 4 pages): Describe a demo or poster of a tool on the workshop
topics.

Submissions must be in English 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.
We accept PDF submissions as well as HTML submissions in RASH (https://github.com/essepuntato/rash) or dokieli (https://github.com/linkeddata/dokieli).

Papers should be submitted through the EasyChair system https://easychair.org/conferences/?conf=quweda2018 no later than midnight Friday March 2, 2018, Hawaii Time. Submissions will be reviewed by members of the workshop program committee. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop.

*Proceedings*

The complete set of papers will be published with the CEUR Workshop Proceedings (CEUR-WS.org), listed by the DBLP.