The Journal of Web Semantics invites submissions for a special issue on Community-based Knowledge Bases and Knowledge Graphs, edited by Tim Finin, Sebastian Hellmann, David Martin, and Elena Simperl.
Submissions are due by November 01, 2021.
Community-based knowledge bases (KBs) and knowledge graphs (KGs) are critical to many domains. They contain large amounts of information, used in applications as diverse as search, question-answering systems, and conversational agents. They are the backbone of linked open data, helping connect entities from different datasets. Finally, they create rich knowledge engineering ecosystems, making significant, empirical contributions to our understanding of KB/KG science, engineering, and practices. From here forward, we use “KB” to include both knowledge bases and knowledge graphs. Also, “KB” and “knowledge” encompass both ontology/schema and data.
Community-based KBs come in many shapes and sizes, but they tend to share a number of commonalities:
They are created through the efforts of a group of contributors, following a set of agreed goals, policies, practices, and quality norms.
They are available under open licenses.
They are central to knowledge-sharing networks bringing together various stakeholders.
They serve the needs of a community of users, including, but not restricted to, their contributor base.
Many draw their content from crowdsourced resources (such as Wikipedia, OpenStreetMap).
Examples of community-based KBs include Wikidata, DBpedia, ConceptNet, GeoNames, FrameNet, and Yago. This special issue will highlight recent research, challenges, and opportunities in the field of community-based KBs and the interaction and processes between stakeholders and the KBs.
We welcome papers on a wide variety of topics. Papers that focus on the participation of a community of contributors are especially encouraged.