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Web Search Engine Software
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July 10, 2017

ht://Dig system

The ht://Dig system is a complete World Wide Web indexing and searching system for a domain or intranet. This system is not meant to replace the need for powerful internet-wide search systems like Lycos, Infoseek, Google and AltaVista. Instead it is meant to cover the search needs for a single company, campus, or even a particular sub section of a web site. As opposed to some WAIS-based or web-server based search engines, ht://Dig can easily span several web servers. The type of these different web servers doesn’t matter as long as they understand common protocols like HTTP. ht://Dig has the ability to search through many servers on a network by [...]

2.25
 
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July 10, 2017

Webinator

The Webinator Web Index & Retrieval System is a highly customizable website search engine software package built on the Texis platform and coded in Vortex (Texis Web Script) that allows for the easy creation and deployment of a high quality search interface to collections of web documents—no matter where they reside. A single installation can serve searches for many websites, or different areas within a website, and a customizable thesaurus or synonym file allows users to find documents even if the terminology they use is different from that on the site. As a flexible solution, Webinator indexes multiple sites into one common index or separate indexes [...]

4
 
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July 10, 2017

OpenSearchServer

OpenSearchServer is open-source enterprise class search engine software. Users of OpenSearchServer will be able to enjoy its features which are a full set of search functions, the ability for users to build their own indexing strategy and a fully integrated solution. Parsers extract full-text data while the crawlers can index everything. When it comes to its search features, OpenSearchServer provides Full-text, boolean and phonetic search, Outer and inner join, Clusters with faceting & collapsing, Filtered search (date, distance), Geolocation using square or radius, Several spell-checking algorithms, Relevance customization and Suggestion [...]

4.25
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