A Functional Model For Information Exploration Systems
Thiago Nunes, Daniel Schwabe

TL;DR
This paper introduces a formal framework for information exploration systems that aims to unify and evaluate the range of exploration operations supported by different tools, addressing gaps in expressiveness and understanding.
Contribution
It presents a comprehensive formal model of exploration operations and a new evaluation method to compare exploration tools based on their supported tasks.
Findings
Framework covers most state-of-the-art exploration interfaces
Enables precise comparison of exploration tools
Supports a wide range of exploration tasks
Abstract
Information exploration tasks are inherently complex, ill-structured, and involve sequences of actions usually spread over many sessions. When exploring a dataset, users tend to experiment higher degrees of uncertainty, mostly raised by knowledge gaps concerning the information sources, the task, and the efficiency of the chosen exploration actions, strategies, and tools in supporting the task solution process. Provided these concerns, exploration tools should be designed with the goal of leveraging the mapping between user's cognitive actions and solution strategies onto the current systems' operations. However, state-of-the-art systems fail in providing an expressive set of operations that covers a wide range of exploration problems. There is not a common understanding of neither which operators are required nor in which ways they can be used by explorers. In order to mitigate these…
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Taxonomy
TopicsData Visualization and Analytics · Semantic Web and Ontologies · Data Quality and Management
