关系数据上基于图的关键字搜索框架的实现

Q3 Computer Science

International Journal of Intelligent Information and Database Systems Pub Date : 2023-01-01 DOI:10.1504/ijiids.2023.128272

Vittoria Cozza

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引用次数: 1

摘要

如何方便地连接和利用来自结构化数据源的越来越多的数据，仍然是工业界和学术界研究人员主要关注的问题。结构化数据系统上的关键字搜索(KSS)由于提供了查询结构化数据的简单接口而引起了人们的极大兴趣。据我们所知，KSS既没有发展成标准模型，也没有发展成商业产品。到目前为止发布的每个新系统的实现都是与以前的系统隔离的，即使它在某个方面提高了技术水平。此外，这些系统的源代码是不共享的，实验结果也不容易复制。本研究旨在通过设计和共享实现基于图形的KSS统一框架来填补这一空白。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Implementation of a framework for graph-based keyword search over relational data

The challenge of easily interconnecting and exploiting the increasing amount of data from structured data sources is still a primary concern for researchers from the industry and the academy. Keyword search over structured data systems (KSS) has attracted much interest as it provides a simple interface to query structured data. At the best of our knowledge, KSS evolved neither into a standard model nor into a commercial product. The implementation of every new system published so far was isolated from the previous systems, even when it advanced the state of the art for a single aspect. Also, the source code of these systems is not shared and the experimental results are not easily replicable. The present study aims at filling this gap, by the design and the shared implementation of a unified framework for graph-based KSS.

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来源期刊

International Journal of Intelligent Information and Database Systems Computer Science-Information Systems

CiteScore

2.90

自引率

0.00%

发文量

期刊介绍： Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS provides a medium for exchanging scientific research and technological achievements accomplished by the international community. It focuses on research in applications of advanced intelligent technologies for data storing and processing in a wide-ranging context. The issues addressed by IJIIDS involve solutions of real-life problems, in which it is necessary to apply intelligent technologies for achieving effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.