In the last decades, we have experienced a substantial increase of Knowledge Graphs (KGs) published on the Web. The focus of this workshop is to reveal novel approaches, methodologies and frameworks on profiling Linguistic Linked Data (LLD) (corpora, lexicons, ontologies, etc.) as well as to highlight tools and user interfaces that can effectively assist different use cases for profiling such data. In addition, the workshop seeks methodologies that help effective profiling in building real-world Linked Data applications leveraging linguistic data, as well as use cases that reveal success stories or aspects that have been neglected so far. The benefits of addressing Linguistic Linked Data profiling issues will not only help in understanding and exploring such data, but also provide the means to increase Linguistic Linked Data consumption, and to maintain track of the evolution of the relevant datasets.
Despite the high number of datasets published as LLD, their usage is still not exploited as they lack comprehensive metadata. Data consumers need to obtain information about datasets in a concise form to decide if they are useful for their use case or not. Data profiling techniques offer an efficient solution to this problem as they are used to generate a semantic profile that contains metadata and statistics that describe the content of the dataset. Semantic profiles are very important for different use cases, such as: (1) provision of a general overview of the data, (2) ontology / dataset integration, (3) identification of quality issues, (4) query optimization, (5) data visualization, (6) data analytics tasks, (7) schema discovery, and (8) entity summarization.
Besides academia, the workshop targets developers and other knowledge workers. We envision the workshop as a forum for researchers and practitioners to come together and discuss common challenges and identify synergies for joint initiatives. We welcome contributions describing technical approaches, as well as those related to real use cases in using semantic profiles.
To assure a high quality of the accepted papers, a peer review process is chosen for the workshop. Each submission will be reviewed by at least 2 members of the PC. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop.