Abstract

This paper presents the design and construction of GoKnowGraph, a Knowledge Graph (KG) that is customized exclusively for storing and semantically searching for system documents pertaining to the Government of Kerala (GoK). GoKnowGraph empowers the efficient retrieval of relevant government documents in multiple languages, thus augmenting accessibility and information retrieval within this GoK system. Our contributions encompass the development of a meticulously curated ontology, integrating essential information from GoK, and proposing a robust method for constructing and querying the KG. Moreover, our system supports cross-language document search for queries in English and advanced querying options, including attribute-based filters, to ensure precise information retrieval. Comparative assessments against a state-of-the-art system underscore GoKnowGraph’s pronounced superiority in both relevance and accuracy. The meticulous alignment between user queries and the retrieved documents highlights the platform’s capacity to effectively bridge the gap between unstructured data and the facilitation of informed decision-making within the GoK system.

中文翻译：

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GoKnowGraph：喀拉拉邦政府系统文档的多语言语义搜索系统

 抽象的

本文介绍了 GoKnowGraph 的设计和构建，这是一种专门为存储和语义搜索与喀拉拉邦政府 (GoK) 相关的系统文档而定制的知识图 (KG)。 GoKnowGraph 能够以多种语言高效检索相关政府文件，从而增强 GoK 系统内的可访问性和信息检索。我们的贡献包括开发精心策划的本体、整合 GoK 的基本信息以及提出构建和查询知识图谱的稳健方法。此外，我们的系统支持英语查询的跨语言文档搜索和高级查询选项，包括基于属性的过滤器，以确保精确的信息检索。与最先进系统的比较评估强调了 GoKnowGraph 在相关性和准确性方面的显着优势。用户查询和检索到的文档之间的细致一致性凸显了该平台有效弥合非结构化数据与 GoK 系统内明智决策之间差距的能力。