Texts and Works: Ontology-based Modeling Patterns

The classification of texts in digital libraries or catalog systems is a longstanding subject in knowledge repre- sentation. In these contexts, the concept of work is pivotal, serving to group multiple texts for easier retrieval. However, the principles guiding this classification are often contingent on differing interpretations of what constitutes a work. This variability can present challenges in information system design, since different groups may organize the same texts differently, potentially causing issues when exchanging or integrating data. The purpose of this paper is to show that the intended meaning of work cannot be given for granted because scholars disagree on what a work amounts to. Instead of a monolithic ontology, we propose alternative ontology-based modeling patterns, which can be used in different application contexts by considering their match with users’ requirements, as well as their advantages and shortcomings.