The Initial Exploration Problem in Knowledge Graph Exploration
Claire McNamara, Lucy Hederman, Declan O'Sullivan

TL;DR
This paper introduces the Initial Exploration Problem in Knowledge Graphs, highlighting the challenges faced by new users due to structural complexity and proposing a theoretical framework for designing better exploration interfaces.
Contribution
It formalizes the IEP, identifies key barriers, and suggests the need for interaction primitives that reveal KG scope without requiring prior expertise.
Findings
Identifies scope uncertainty, ontology opacity, and query incapacity as key barriers.
Highlights the lack of interaction primitives for scope revelation in current systems.
Provides a theoretical framework for designing entry-point scaffolding in KG exploration.
Abstract
Knowledge Graphs (KGs) enable the integration and representation of complex information across domains, but their semantic richness and structural complexity create substantial barriers for lay users without expertise in semantic web technologies. When encountering an unfamiliar KG, such users face a distinct orientation challenge: they do not know what questions are possible, how the knowledge is structured, or how to begin exploration. This paper identifies and theorises this phenomenon as the Initial Exploration Problem (IEP). Drawing on theories from information behaviour and human-computer interaction, including ASK, exploratory search, information foraging, and cognitive load theory, we develop a conceptual framing of the IEP characterised by three interdependent barriers: scope uncertainty, ontology opacity, and query incapacity. We argue that these barriers converge at the…
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Taxonomy
TopicsInformation Retrieval and Search Behavior · Advanced Graph Neural Networks · Semantic Web and Ontologies
