Year: 2025
Type: article
Abstract: The long‐standing goal of creating a comprehensive, multi‐purpose knowledge resource, reminiscent of the 1984 Cyc project, still persists in AI. Despite the success of knowledge resources like WordNet, ConceptNet, Wolfram|Alpha and other commercial knowledge graphs, verifiable, general‐purpose, widely available sources of knowledge remain a critical deficiency in AI infrastructure. Large language models struggle due to knowledge gaps; robotic planning lacks necessary world knowledge; and the detection of factually false information relies heavily on human expertise. What kind of knowledge resource is most needed in AI today? How can modern technology shape its development and evaluation? A recent AAAI workshop gathered over 50 researchers to explore these questions. This paper synthesizes our findings and outlines a community‐driven vision for a new knowledge infrastructure. In addition to leveraging contemporary advances in knowledge representation and reasoning, one promising idea is to build an open engineering framework to exploit knowledge modules effectively within the context of practical applications. Such a framework should include sets of conventions and social structures that are adopted by contributors.
Source: AI Magazine
DOI: 10.1002/aaai.70035
Authors: Vinay K Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G Cohn, Rina Dechter, Esra Erdem, Dave Ferrucci, Ken Forbus, Gregory Gelfond, Michael Genesereth, Andrew S. Gordon, Benjamin Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton McFate, Hande Küçük McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandečić, Mark Whiting, Michael Witbrock
Institutions: Knowledge Systems Research, U.S. National Science Foundation, Directorate for Technology, Innovation and Partnerships, University of Leeds, Örebro University, Amazon (United States), University of California, Irvine, Sabancı Üniversitesi, Northwestern University, University of Dayton, University of Dayton Research Institute, Stanford University, University of Southern California, Defense Advanced Research Projects Agency, The University of Texas at Dallas, Rensselaer Polytechnic Institute, University of California, San Francisco, University of Maryland, Baltimore County, Educational Testing Service, University of Nebraska at Omaha, The University of Texas at Austin, Kansas State University, SRI International, Carnegie Mellon University, University of Pennsylvania, Cycorp (United States), Wright State University, Wikimedia Foundation, University of Auckland
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,400
OpenAlex ID: W4415556596