Narrative Query Graphs for Entity-Interaction-Aware Document Retrieval

TitleNarrative Query Graphs for Entity-Interaction-Aware Document Retrieval
Publication TypeConference Paper
Year of Publication2021
AuthorsKroll, H., J. Pirklbauer, J. - C. Kalo, M. Kunz, J. Ruthmann, and W. - T. Balke
Conference NameThe 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021)
Date Published12/2021
PublisherSpringer
Conference LocationOnline
Abstract

Finding relevant publications in the scientific domain can be quite tedious: Accessing large-scale document collections often means to formulate an initial keyword-based query followed by many refinements to retrieve a sufficiently complete, yet manageable set of documents to satisfy one's information need. Since keyword-based search limits researchers to formulating their information needs as a set of unconnected keywords, retrieval systems try to guess each user's intent. In contrast, distilling short narratives of the searchers' information needs into simple, yet precise entity-interaction graph patterns provides all information needed for a precise search. As an additional benefit, such graph patterns may also feature variable nodes to flexibly allow for different substitutions of entities taking a specified role. An evaluation over the PubMed document collection quantifies the gains in precision for our novel entity-interaction-aware search. Moreover, we perform expert interviews and a questionnaire to verify the usefulness of our system in practice.

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ICADL2021_Kroll_NarrativeQueryGraphs.pdf1.44 MB