Sebastian Huettemann , Roland M. Mueller , Barbara Dinter
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Designing ontology-based search systems for research articles
The process of conducting scientific literature reviews is becoming increasingly complex and time-consuming due to the rapid expansion of available research. Popular academic search engines offer limited filtering capabilities and suffer from low precision. Machine learning-enhanced approaches tend to target rather specific areas, and novel approaches based on generative artificial intelligence suffer from hallucinations. Drawing on information foraging theory, this article presents a design science research project aimed at generating design knowledge for developing domain-specific search systems for research articles. Our contributions include: (1) integrating domain ontologies with large language models to design ontology-based search systems, (2) generating descriptive design knowledge by exploring the problem space, (3) generating prescriptive design knowledge for developing domain-specific search systems, and (4) presenting an ontology-based search engine prototype. Our results indicate that the proposed solution supports researchers in conducting literature reviews by increasing information gain while reducing interaction costs.
期刊介绍:
The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include:
Comprehensive Coverage:
IJIM keeps readers informed with major papers, reports, and reviews.
Topical Relevance:
The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues.
Focus on Quality:
IJIM prioritizes high-quality papers that address contemporary issues in information management.