Olio：面向数据仓库的语义搜索接口
Olio: A Semantic Search Interface for Data Repositories
AI总结：
本文提出面向数据仓库的语义搜索接口OLIO，通过混合自动生成可视化响应与预编写图表，支持问答、探索和设计搜索场景及分面过滤，提升用户发现洞察与内容的表现力。
摘要：
搜索与信息检索系统在解释用户查询方面正变得更具表现力，超越了传统的基于权重的词袋文档检索模型。例如，搜索航班状态或比赛分数会返回动态生成的响应，以及与查询上下文相关的预编写支持文档。本文将这种混合搜索范式扩展到包含精选数据源和可视化内容的数据仓库。我们引入了语义搜索接口OLIO，它提供混合结果集，包括自动生成的可视化响应和预编写图表，将分析性问答与内容发现搜索目标相融合。我们具体探索了数据仓库上的三种搜索场景——问答、探索性搜索和设计搜索。该接口还提供分面搜索支持，允许用户基于作者姓名、时间和图表类型等参数细化和过滤传统的最佳优先搜索结果。初步用户评估表明，OLIO的接口和混合搜索范式共同为用户在数据仓库中发现洞察和可视化内容提供了更强的表现力。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
