A service-oriented search framework for full text, geospatial and semantic search

A. Both, A. N. Ngomo, Ricardo Usbeck, Denis Lukovnikov, Christian Lemke, Maximilian Speicher
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引用次数: 13

Abstract

Over the last decade, a growing importance of search engines could be observed. An increasing amount of knowledge is exposed and connected within the Linked Open Data Cloud, which raises users' expectations to be able to search for any information that is directly or indirectly contained. However, diverse data types require tailored search functionalities---such as semantic, geospatial and full text search. Hence, using only one data management system will not provide the required functionality at the expected level. In this paper, we will describe search services that provide specific search functionality via a generalized interface inspired by RDF. In addition, we introduce an application layer on top of these services that enables to query them in a unified way. This allows for the implementation of a distributed search that leverages the identification of the optimal search service for each query and subquery. This is achieved by connecting powerful tools like Openlink Virtuoso, ElasticSearch and PostGIS within a single framework.
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一个面向服务的搜索框架,用于全文、地理空间和语义搜索
在过去的十年里,搜索引擎的重要性与日俱增。越来越多的知识在关联开放数据云中被暴露和连接,这提高了用户对能够搜索直接或间接包含的任何信息的期望。然而,不同的数据类型需要定制的搜索功能——例如语义、地理空间和全文搜索。因此,仅使用一个数据管理系统将无法在预期级别上提供所需的功能。在本文中,我们将描述通过受RDF启发的通用接口提供特定搜索功能的搜索服务。此外,我们在这些服务之上引入了一个应用层,使我们能够以统一的方式查询它们。这允许实现分布式搜索,该搜索利用对每个查询和子查询的最佳搜索服务的标识。这是通过将强大的工具如Openlink Virtuoso、ElasticSearch和PostGIS连接在一个框架内实现的。
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