On Dimensions of Plausibility for Narrative Information Access to Digital Libraries

TL;DR

This paper explores the concept of narrative information access in digital libraries, analyzing the challenges and proposing dimensions to evaluate the plausibility of complex narrative queries for improved search capabilities.

Contribution

It introduces a set of dimensions to assess the plausibility of narrative-based queries, addressing conceptual challenges in implementing narrative information access.

Findings

Identified key conceptual problems in narrative plausibility

Proposed a framework of dimensions for evaluating narrative plausibility

Analyzed case studies to understand the process of making narratives plausible

Abstract

Designing keyword-based access paths is a common practice in digital libraries. They are easy to use and accepted by users and come with moderate costs for content providers. However, users usually have to break down the search into pieces if they search for stories of interest that are more complex than searching for a few keywords. After searching for every piece one by one, information must then be reassembled manually. In previous work we recommended narrative information access, i.e., users can precisely state their information needs as graph patterns called narratives. Then a system takes a narrative and searches for evidence for each of its parts. If the whole query, i.e., every part, can be bound against data, the narrative is considered plausible and, thus, the query is answered. But is it as easy as that? In this work we perform case studies to analyze the process of making a given narrative plausible. Therefore, we summarize conceptual problems and challenges to face. Moreover, we contribute a set of dimensions that must be considered when realizing narrative information access in digital libraries.