The search engine uses high-performance matching algorithms to identify patterns within text that can then be matched with similar patterns from other data sources. The identified patterns (concept agents) improve their ability to find similar, relevant patterns by “learning” which search hits the user prefers.
You can use the concept-based searching capability with any language to search data that has been indexed into the search engine.
Concept-based searching includes:
Natural language, Boolean, proximity, and concept queries.
Fast query speed. The speed is linked to the number of results requested rather than the number of documents indexed.
Retrieval of original document or its plain text content.
Automatic elimination of duplicates by content or reference on indexing.
There are several options for indexing data in the search engine, including:
WebFetch for searching Web data
Lotus Notes Fetch
ODBC Fetch
