Searching and browsing Linked Data with SWSE: The Semantic Web Search Engine
Searching and browsing Linked Data with SWSE: The Semantic Web Search Engine
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DOI：
10.1016/j.websem.2011.06.004
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发表时间：
2011-12-01
影响因子：
2.5
通讯作者：
Decker, Stefan
中科院分区：
文献类型：
--
作者：
Hogan, Aidan;Harth, Andreas;Decker, Stefan
本文讨论了语义Web搜索引擎（SWSE）的体系结构和实现。SWSE遵循传统的搜索引擎架构，包括爬取、数据增强、索引和用于搜索、浏览和检索信息的用户界面；与传统的搜索引擎不同，SWSE在RDF Web数据（也被称为关联数据）上操作，这意味着对系统设计、体系结构、算法、实现和用户界面的独特挑战。特别是，在为Web数据采用语义Web技术方面存在许多挑战：Web的独特挑战——在规模、不可靠性、不一致性和噪声方面——在很大程度上被当前的语义Web标准所忽视。在本文中，我们描述了当前的SWSE系统，首先详细介绍了体系结构，然后详细说明了每个单独组件的功能、设计、实现和性能。在此过程中，我们还深入了解了如何以最佳方式对当前的语义Web标准进行裁剪，以便在Web数据上使用。在整个过程中，我们提供评估和补充论证来支持我们的设计选择，也提供对未来方向和开放研究问题的讨论。随后，我们还将坦率地讨论将这样一个搜索引擎引入主流所面临的困难，以及从大约六年的语义网搜索引擎项目中吸取的经验教训。(C) 2011 Elsevier B.V.版权所有
In this paper, we discuss the architecture and implementation of the Semantic Web Search Engine (SWSE). Following traditional search engine architecture, SWSE consists of crawling, data enhancing, indexing and a user interface for search, browsing and retrieval of information; unlike traditional search engines, SWSE operates over RDF Web data - loosely also known as Linked Data - which implies unique challenges for the system design, architecture, algorithms, implementation and user interface. In particular, many challenges exist in adopting Semantic Web technologies for Web data: the unique challenges of the Web - in terms of scale, unreliability, inconsistency and noise - are largely overlooked by the current Semantic Web standards. Herein, we describe the current SWSE system, initially detailing the architecture and later elaborating upon the function, design, implementation and performance of each individual component. In so doing, we also give an insight into how current Semantic Web standards can be tailored, in a best-effort manner, for use on Web data. Throughout, we offer evaluation and complementary argumentation to support our design choices, and also offer discussion on future directions and open research questions. Later, we also provide candid discussion relating to the difficulties currently faced in bringing such a search engine into the mainstream, and lessons learnt from roughly six years working on the Semantic Web Search Engine project. (C) 2011 Elsevier B.V. All rights reserved.