開発元/発売元: dtSearch Corp. 主要なカテゴリー: 検索 製品のタイプ: コンポーネント / アプリケーション / ActiveX OCX / ActiveX DLL / DLL / VC++ Class Library / JavaBean / Java ClassMulti lingual searching. dtSearch Engine/Web is supplied with stemming rules and a noise-word file for English(US). If you are searching documents written in other languages then this could mean that plurals and noise words are missed. ElectronArt Language Extension Packs are available for Eastern and Western European languages to improve your non English(US) search results. もっと見る
開発元/発売元: dtSearch Corp. 主要なカテゴリー: 検索 製品のタイプ: コンポーネント / アプリケーション / .NET Class / ActiveX OCX / ActiveX DLL / DLL / VC++ Class Library / JavaBean / Java ClassAdd search functionality to your Web site. dtSearch Web with Spider quickly publishes with instant text searching a wide variety of content to an IIS Web site. Most searches take less than a second, even through multiple terabytes of text. Over a dozen indexed & fielded data search options. Highlights hits in HTML, XML & PDF, while displaying links & images. Converts word processor, database, spreadsheet, ZIP, etc. files to HTML, with highlighted hits. Operating through dtSearch Web, the spider can expand the scope of the searchable database beyond a site's own data to content on a third-party Web sites (both publicly available and secure), including support for a wide variety of content (HTML, XML, ASP.NET, MS CMS, SharePoint, etc.) and WYSWYG hit highlighted displays. Optional API for SQL, Java, C++, .NET available. Now includes a 64 bit version. もっと見る
開発元/発売元: DBI Technologies 主要なカテゴリー: 検索 製品のタイプ: コンポーネント / Managed/Unmanaged Code - without COM / DLLPowerful text summarization engine. Extractor is a software text summarization engine. It consumes documents (text, html, email) and using a patented genetic extraction algorithm (GenEx) analyzes the recurrence of words and phrases, their proximity to one another, and the uniqueness of the words to a particular document. The engine returns a list of key words and phrases found in the document together with their relative ranking (how many times was the word/phrase found in the document) along with contextual links back to the position of the key word/phrase in the document itself. もっと見る
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