QuWeDa 2018 - 2nd Workshop on Querying the Web of Data

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 2018 (ESWC 2018) 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