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About RealTerm

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RealTerm Technical Specification

RealTerm Distribution

RealTerm distribution includes
  • RealTerm real-time topic extraction and browsing engine;
  • RealTerm advanced search engine;
  • Bridges to other search engines, databases and legacy systems;
  • Libraries for integration to C/C++ and Java applications;
  • User Documentation;

Topic Extraction and Browsing Engine

Topic Extraction and Browsing Engine intuitively blends the flexibility of a query-based search with guided browsing capabilities of Information directories. It achieves this by using advanced statistical, linguistic and conceptual analysis to real-time automatically identify major topics and their sub-topics that are contained in a document collection. This allows the user within a few mouse clicks to identify and aggregate all and only relevant documents regardless whether they have been listed in the first ten or the last hundred in the return set.

Currently RealTerm technology is available for

  • English
  • German
  • Spanish
  • French
  • Italian
  • Portuguese
At the moment we are targeting RealTerm to Eastern European and Scandinavian languages.

The engine is capable of processing 15,000 words a second on Pentium 1GH computer. This speed allows it to generate the topic index for a return set of 1,000 documents from the abstracts returned by the search engine in 2-3 seconds.

RealTerm Search Engine

RealTerm comes with its own advanced search engine which supports
  • KeyWord in Context document summaries. RealTerm not only finds relevant documents and ranks them according to the user's query, it also extract specific passages from these documents that contain required information. This functionality, also call Key-Word In Context (KWIC), enables the users to validate importance of the document at a glance without opening and scanning through the document itself.
  • Concept based search. RealTerm not only searches for keywords specified in the user query but it also dynamically detects synonyms and can extend its search to them after the user validates which synonyms to use and which to not to. For instance, in a search for "heart disease" RealTerm detects that "cardiac arrest" or "cardiology" are often mentioned and will suggest these terms to extend the search.
  • Keyword and Natural Language queries. Coming from a team of developers with a collective experience of over 30 years in Natural Language Processing and Information Retrieval in academia and industry, naturally RealTerm can handle both keyword queries and queries expressed in Natural Language.
  • Multiple file format support. RealTerm indexing engine can index over 30 file formats including Microsoft Word, PDF, Postscript, HTML, Lotus, etc.

RealTerm external compatibility

RealTerm can be integrated with any mainstream search engine and can add advanced knowledge management capabilities to traditional Information Management software without extensively re-engineering the existing deployment platform.

  • Internet Search Engines - Yahoo, Altavista, FAST, Google...
  • Oracle Context and Intermedia
  • Inktomi
  • Verity
  • SQL database search through ODBC
  • legacy indexing systems
  • ... and many others including Lotus Notes and Domino

Hardware/Software Platforms

RealTerm is designed to operate as a server which communicates with thin clients (usually Internet browsers) through HTTP protocol. Therefore there is no limitation on the client configurations provided that they are capable of running Internet Explorer 4 and above or Netscape Navigator 4 and above.

RealTerm server can run on all major platforms including Microsoft NT/2000, Linux and Solaris.


RealTerm server can be directly accessed from other applications through special developers libraries. Currently we support integration with C/C++ applications on various platforms, COM integration, Java integration and EJB (stateful session) integration.

User Interface

RealTerm user interface is easily customizable in terms of corporate look-and-feel and information layout. RealTerm server communicates with the interface generation module by outputting XML structures with required information. The interface building module applies special templates and XSLT scripts to generate HTML which then can be displayed by the browsers. Both templates the scripts can be easily modified to reflect specific requirements.
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