PHP » Scripts and Programs » Search Engines » NeonSearch
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| Title |
NeonSearch |
| Platform |
Unix, Linux |
| Price |
$50 |
| Author |
Visit Author Website |
| Website |
Visit Website of - NeonSearch |
| Category |
PHP » Scripts and Programs » Search Engines |
| Hits |
172 |
| Description |
NeonSearch is a Web search engine written in PHP that can be easily integrated into any site. From one form, visitors can search the Web using any of the following engines: AOL, Alta Vista, Ask Jeeves, Netscape, MSN, Google, Lycos, MetaCrawler, Dogpile, Scrub the Web, Teoma, Web Wombat and Yahoo! Setup is simple and you can choose to have search results open with or without frames. If you elect to use frames, visitors will remain on your site and their search results will appear in a frameset. The top frame will contain a link back to the page they came from and an option to break out of the frameset. The bottom frame will contain the results of the submitted search. |
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Allows you to set up an easy index of your site so your visitors can search and easily find what they are looking for. You choose which pages to include in the index by adding the page names, URL and search words to the control panel. Control what keywords are found and on what page. When you add pages to the control panel to be searched you add the Title and Keywords so there is no confusion on the information found in the search.
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mnoGoSearch is a full-featured free search engine software for intranet and internet servers. mnoGoSearch has number of unique features, which makes it appropriative for a wide range of application from search within your site to specialized search system such as cooking recipes or newspaper search, ftp archive search, news articles search, etc. mnoGoSearch consists of two parts. The first is an indexing mechanism (indexer) that walks through HTTP, FTP, NEWS servers or local files, recursively grabbing all the documents and storing meta-data about that documents in a SQL database. After every document is referenced by its corresponding URL, meta-data which collected by indexer are used later in a search process. The search is performed via Web interface. C CGI, PHP and Perl search front ends are included.
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