KGSum23: 2nd International Workshop on Knowledge Graph Summarization International Conference on Knowledge Capture Pensacola, FL, United States, November 6-7, 2023

There is a growing interest in generating summaries from the facts contained in a Knowledge Graph. Condensing relevant information into a few statistical data, sentences, paragraphs, or triplets is an emerging problem that remains to be solved as knowledge graphs increase complexity and expand in size and domains. Knowledge Graph Summarization (KGSum) aims at producing concise but informative descriptions of the content of a knowledge graph that help users to efficiently access and distill valuable information from it. Conversational systems, question-answering services or any other method leveraging the narrative content around the entities in a knowledge graph will benefit from these techniques.

This in-person workshop welcomes a wide range of papers, including full research papers, negative results, position papers, datasets, and system demos, that explore a variety of issues and processes related to the creation of summaries from knowledge graphs, such as question-answering, graph-to-text transformations, and entity summarization, among others. Also welcome are papers on resources (methods, tools, benchmarks, libraries, and datasets).

Submission Guidelines

The papers can be submitted via EasyChair. All papers must be original and not simultaneously submitted to another journal or conference/workshop. All submissions must be in English (CEURART format) and will be publicly available under CC-by 4.0 license.

• Full research papers (8-12 pages)
• In-Use and Experience papers (8-12 pages)
• Short research papers (4-6 pages)
• System/demo/Position papers (4-6 pages)

The workshop follows a double-blind review process, where the identity of both authors and reviewers are concealed. Submitted papers must be anonymized.

List of Topics

Researchers from multiple areas such as Semantic Web, Linked Data, Natural Language Processing (NLP), Entity Linking (EL), Knowledge Representation and Reasoning (KRR), and other related fields will find opportunities to present and discuss about emerging research and applications, and to identify new opportunities that address the following topics (but not limited to):

• Methods to summarize KGs
  • Research work and initiatives related to verbalizing facts expressed through subject-predicate-object triplets
  • Automatic generation of textual summaries as a way to measure the quality of KGs
  • Integration between Language Models and KGs
• KGs features related to summaries
  • Special features/metadata from KGs to generate coherent multi-sentence summaries
  • Extensions to current KGs formalisms to better support summaries
  • Benefits of incorporating automatic generation of textual summaries on KGs
• Scope and Impact of KG summaries
  • Use cases and applications for KGs summaries
  • Generating adaptive summaries from KGs so they suit the needs of the different agents consuming it.
  • Importance/role of KGs in the generation of summaries that express complex ideas
  • How KGs in conjunction with textual summaries can be used to improve QA systems

Committees

Organizing Committee

• Carlos Badenes-Olmedo, Universidad Politécnica de Madrid, Spain. 
• Jose Luis Redondo-García, Spotify, Sweden. 
• Nandana Mihindukolasooriya, IBM, UK.
• Maribel Acosta, Ruhr University Bochum, Germany.

Programm committee

• Gaetano Rossiello, IBM Research
• Soto Montalvo, Universidad Rey Juan Carlos
• Emilio Monti, Amazon
• Pasquale Lisena, Eurecom
• Pablo Calleja Ibañez, Universidad Politécnica de Madrid
• Hegler Tissot, Drexel University
• Patricia Martín Chozas, Universidad Politécnica de Madrid
• Boris Villazon-Terrazas, EY wavespace

Publication

The accepted papers will have the opportunity to submit an extended version in a proposed SWJ's special issue. More details to follow.

Venue

The conference will be held in Athens, Greece. It is co-located with the 22nd International Semantic Web Conference (ISWC'23). More information on the ISWC webpage.

Contact

All questions about submissions and more info available at: https://kgsum.github.io/2023