Exploiting Conceptual Knowledge for Querying Information Systems
Joachim Selke, Wolf-Tilo Balke

TL;DR
This paper explores how to enhance information systems by integrating conceptual knowledge to improve personalization and better meet user expectations, drawing on cognitive psychology insights.
Contribution
It proposes a novel approach to incorporate conceptual knowledge into information systems, addressing limitations of current explicit-only personalization methods.
Findings
Identifies gaps in current personalization techniques
Suggests a framework for integrating conceptual knowledge
Highlights potential improvements in user satisfaction
Abstract
Whereas today's information systems are well-equipped for efficient query handling, their strict mathematical foundations hamper their use for everyday tasks. In daily life, people expect information to be offered in a personalized and focused way. But currently, personalization in digital systems still only takes explicit knowledge into account and does not yet process conceptual information often naturally implied by users. We discuss how to bridge the gap between users and today's systems, building on results from cognitive psychology.
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Taxonomy
TopicsData Management and Algorithms · Advanced Database Systems and Queries · Semantic Web and Ontologies
