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Abstract
The ever-increasing amount of data available on the web is the result of the simplicity of sharing data over the current Web. To retrieve relevant information efficiently from this huge dataspace, a sophisticated search technology, which is further complicated due to the various data formats used, is crucial. Semantic Web (SW) technology has a prominent role in search engines to alleviate this issue by providing a way to understand the contextual meaning of data so as to retrieve relevant, high-quality results. An Exploratory Search System (ESS), is a featured data looking and search approach which helps searchers learn and explore their unclear topics and seeking goals through a set of actions. To retrieve high-quality retrievals for ESSs, Linked Open Data (LOD) is the optimal choice. In this paper, SW technology is reviewed, an overview of the search strategies is provided, and followed by a survey of the state of the art Linked Data Browsers (LDBs) and ESSs based on LOD. Finally, each of the LDBs and ESSs is compared with respect to several features such as algorithms, data presentations, and explanations.
Highlights
Over the time, World Wide Web (WWW) has made data sharing online an easy task for all users which created an immense amount of data available and transformed the Web to a massive semi-structured database [1]
A broad purpose of our study is to show to what extent the subject of exploration systems for LD has arrived, what kind of algorithms and technologies are used, and which Linked Datasets are most utilized
The growth of the syntactic Web to the Semantic Web (SW) technology where the information is understandable by machines has raised expectations
Summary
World Wide Web (WWW) has made data sharing online an easy task for all users which created an immense amount of data available and transformed the Web to a massive semi-structured database [1]. Retrieving relevant information efficiently from this huge dataspace is a huge challenge. Search engines are used to retrieve data from the current Web, to get accurate retrievals, very efficient indexing and seeking strategies and increasingly more complicated heuristics must be employed. The search approaches have two main categories: lookup (or keyword-based) and exploratory search [2]. Lookup search approaches have database systems in the background and information is retrieved based on the keywords given. In this widely used search approach, the data is mainly textual documents, and the search items are known [3]
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