Dean Allemang

dblp:03/2240 · DBLP profile ↗
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4ranked-venue papers in the field
3as first author
2since 2021 · last 2025
—ORCID · conflict

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 3 (2 first)Information Retrieval & Web Search · 1 (1 first)
YearPublicationVenuePosition
2025 Knowledge Graphs as a source of trust for LLM-powered enterprise question answering
abstract
Generative AI provides an innovative and exciting way to manage knowledge and data at any scale; for small projects, at the enterprise level, and even at a world wide web scale. It is tempting to think that Generative AI has made other knowledge-based technologies obsolete; that anything we wanted to do with knowledge-based systems, Knowledge Graphs or even expert systems can instead be done with Generative AI. Our position is counter to that conclusion.Our practical experience on implementing enterprise question answering systems using Generative AI has shown that Knowledge Graphs support this infrastructure in multiple ways: they provide a formal framework to evaluate the validity of a query generated by an LLM, serve as a foundation for explaining results, and offer access to governed and trusted data. In this position paper, we share our experience, present industry needs, and outline the opportunities for future research contributions.
Juan F. Sequeda, Dean Allemang, Bryon Jacob
J. Web Semant.2
2024 Increasing the Accuracy of LLM Question-Answering Systems with Ontologies
Dean Allemang, Juan F. Sequeda
ISWC (3)1
2019 Linked Data: Storing, Querying, and Reasoning. Sakr, Sherif, Wylot, Marcin, Mutharaju, Raghava, Le Phuoc, Danh, and Fundulaki, Irini. Cham, Switzerland: Springer International Publishing, 2018. 233 pp. $129.00 (hardcover). (ISBN 9783319735146)
Dean Allemang
J. Assoc. Inf. Sci. Technol.1
2005 Enterprise Architecture Reference Modeling in OWL/RDF
Dean Allemang, Irene Polikoff, Ralph Hodgson
ISWC1