Framing serendipitous information-seeking behavior for facilitating literature-based discovery: A proposed model

Several researchers have studied serendipitous knowledge discovery in information‐seeking behavior. Electronic data in the form of semantic predications have a potential role in literature‐based discovery, which can be guided by serendipitous knowledge discovery research findings. We sought to model information‐seeking behavior within the context of serendipitous knowledge discovery by leveraging existing research. These efforts were done with an eye for a potential literature‐based discovery application that utilizes semantic predications. We performed a literature search, reviewed the results, and applied the findings in developing a model for serendipitous knowledge discovery as an information‐seeking behavior. The literature review indicated four important themes in serendipitous knowledge discovery: iteration, change or clarification, a seeker's prior knowledge, and the role of information organization and presentation. The Interaction Flow in Serendipitous Knowledge Discovery (IF‐SKD) model includes these themes, and accommodates iterative, evolving search interests. Output can be presented in a manner to enhance short‐term memory conceptualization and connections with prior knowledge. Although the IF‐SKD model is currently a theoretical structure, its utility is demonstrated through replicating a literature‐based discovery event, using a documented search method within the model's steps. The IF‐SKD model can potentially serve as the foundation for future literature‐based discovery applications.