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arXiv · 2307.16396

Olio: A Semantic Search Interface for Data Repositories

Vidya Setlur·Andriy Kanyuka·Arjun Srinivasan
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Abstract

Search and information retrieval systems are becoming more expressive in interpreting user queries beyond the traditional weighted bag-of-words model of document retrieval. For example, searching for a flight status or a game score returns a dynamically generated response along with supporting, pre-authored documents contextually relevant to the query. In this paper, we extend this hybrid search paradigm to data repositories that contain curated data sources and visualization content. We introduce a semantic search interface, OLIO, that provides a hybrid set of results comprising both auto-generated visualization responses and pre-authored charts to blend analytical question-answering with content discovery search goals. We specifically explore three search scenarios - question-and-answering, exploratory search, and design search over data repositories. The interface also provides faceted search support for users to refine and filter the conventional best-first search results based on parameters such as author name, time, and chart type. A preliminary user evaluation of the system demonstrates that OLIO's interface and the hybrid search paradigm collectively afford greater expressivity in how users discover insights and visualization content in data repositories.

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Vidya Setlur, Andriy Kanyuka, Arjun Srinivasan. 2023-07-31. Olio: A Semantic Search Interface for Data Repositories. https://arxiv.org/abs/2307.16396

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