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. 

The proposed workshop seeks application-oriented papers, as well as more theoretical papers and position papers. The workshop proposes a multidisciplinary discussion on the following themes, with a focus on RDF data. Main topics but not limited to:

• Linguistic dataset profiling tools and algorithms

• Linguistic data summarisation

• Ontology and data quality evaluation for linguistic data

• Fusing and refining linguistics profiling results

• Scalable approaches for linguistic profiles generation

• SHACL shapes as means for profiling

• Topic profiling for linguistic data

• Semantic profiles representation of linguistic data

09:00 - 09:10   Opening 

09:10 - 10:00   Keynote by Marieke Van Erp on Contextual Profiling of Linguistic Datasets.  

10:00 - 10:30   RDF Shapes ecosystem: tooling and uses: Daniel Fernandez 

10:30 - 11:00   Profiling Linguistic Knowledge Graphs: Blerina Spahiu, Renzo Alva Principe and Andrea Maurino

11:00 - 11:30   Coffee Break

11:30 - 12:00   Pruning and re-ranking the frequent patterns in knowledge graph profiling using machine learning: Gollam Rabby, Farhana Keya, Vojtěch Svátek and Blerina Spahiu

12:00 - 13:00  Discussion & Closing

13:00 - 14:00  Lunch Break

We welcome the following types of contributions:

• Short (up to 5 pages) and full (up to 10 pages) research papers

• Industry and use case presentations (up to 5 pages)

• Tool and system demonstrations should not exceed 4 pages

• Position papers (up to 4 pages)

All submission lengths are given including references. Accepted submissions will be published in an open-access conference proceedings volume, free of charge for authors. The ACL templates should therefore be used for all conference submissions.

Papers have to be submitted through easychair: https://easychair.org/conferences/?conf=prolingknower2023

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.

ORGANISING COMMITTEE

PROGRAM COMMITTEE (TBC):

• Albin Ahmeti - Semantic Web Company, Austria

• Alfonso Guarino - Università degli Studi di Foggia, Italy

• Anisa Rula - University of Brescia, Italy

• Andrea Maurino -  Università degli Studi di Milano - Bicocca, Italy

• Beyza Yaman - ADAPT Centre, Dublin City University, Ireland

• Daniele Schicchi - Università di Palermo, Italy

• Daniele Spaladori - Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato (STIIMA) – CNR, Italy

• Dimitrios Skoutas - Information Management Systems Institute/Athena RC, Greece

• Gabriella Casalino - University of Bari "A.Moro", Italy

• Jakub Klímek - Charles University, Prague, Czech Republic

• Jeremy Debattista - Top Quadrant, Malta

• Jose Emilio Labra Gayo -University of Oviedo, Spain

• Luigi Asprino - University of Bologna, Italy

• Manuel Vimercati - Università degli Studi di Milano - Bicocca, Italy

• Marco Cremaschi - Università degli Studi di Milano - Bicocca, Italy

• Riccardo Albertoni - Institute for Applied Mathematics and Information Technologies, Consiglio Nazionale delle Ricerche, Genoa, Italy

• Theodore Dalamagas - Information Management Systems Institute/Athena RC, Greece

• Thierry Declerck – DFKI GmbH - Saarbrücken, Germany

• Włodzimierz Lewoniewski - Poznań University of Economics and Business, Poland