4th International Workshop on Dataset PROFIling & fEderated Search for Web Data

Co-located with: The 16th International Semantic Web Conference (ISWC 2017).


Upcoming PROFILES edition in 2018 at The Web Conference, Lyon, 24 April 2018:  PROFILES & DATA:SEARCH @ TheWebConf 2018: International Workshop on Profiling and Searching Data on the Web. 

Submission deadline (extended): February 6, 2018

Workshop scope

The Web of Data, including Linked Data and knowledge graphs, has seen tremendous growth recently. In addition, new forms of structured data have emerged in the form of Web markup, such as, and entity-centric data in the Web tables. Considering these rich, heterogeneous and evolving data sources which cover a wide variety of domains, exploitation of Web Data becomes increasingly important in the context of various applications, including federated search, entity linking, question answering and fact verification. These applications require reliable information on dataset characteristics, including general metadata, quality features, statistical information, dynamics, licensing and provenance. Lack of a thorough understanding of the nature, scope and characteristics of data from particular sources limits their take-up and reuse, such that applications are often limited and focused on well-known reference datasets. The PROFILES workshop series aim at gathering approaches to analyse, describe and discover data sources – including but not limited to SPARQL endpoints – as a facilitator for applications and tasks such as query distribution, semantic search, entity retrieval and recommendation. PROFILES offers a highly interactive forum for researchers and practitioners bringing together experts in the fields of Semantic Web, Linked Data, Semantic Search, Databases, NLP, IR and application domains.

PROFILES’17 will gather novel works from the fields of semantic query interpretation and federated search for entity-centric Web data, dataset selection and discovery as well as automated profiling of datasets using scalable data assessment and profiling techniques. PROFILES’17 will equally consider both novel scientific methods and techniques for querying, assessment, profiling, discovery of distributed datasets as well as the application perspective, such as the innovative use of tools and methods for providing structured knowledge about datasets, their evolution and fundamentally, means to search and query Web Data. We will seek application-oriented, as well as more theoretical papers and position papers.

Previous PROFILES editions: