Intelligent searching and classifying
People everyday are under pressure to make
the right decisions at the right time, to help achieve this, quick,
comprehensive, and understandable searching of data knowledge
is a necessity. The ever increasing flood of information requires
structured organisation of the data found.
Intelligent search mechanism
With the growing information surge, polished search
mechanisms have become a requirement for document management systems.
onGO DMS meets this challenge with the use of a relational database,
this allows for high speed searches on indexed fields. Different
search criteria can be arbitrarily combined through logical and/or
linking references. In addition any desired combination of user-defined
attributes can also be specified.
Search results are clearly displayed in either an
explorer/file manager interface or via a web browser. The search
criteria can at any time be modified and the search restarted.
Especially complex searches can be stored
as an object within onGO DMS and be represented by an appropriate
icon, a simple double click can then restart the search, so that
a current, dynamic search result is always available.
Full text search
All documents are automatically converted into alpha
format; from this a full text index is created. On this index
full text searches can be processed, which is as with all other
search criteria arbitrarily combinable and storable.
The software technology used in the associative
search offers an innovative solution for the administration and
storing of unstructured digital information, especially files
in word processing and HTML formats.
In addition to the standard full text search, several
gigabytes of unstructured documents can be intelligently classified
and semantically searched. Context-sensitive keywords and linking
to similar documents are automatically processed.
The basis of this technology is a sophisticated
illustration of associative data, whereby similarities are captured
between both terms and text documents. This approach enables the
design of a search that warrantees the receipt of only the relevant
information requested by the user.
The resulting information becomes substantially
more efficient and a set of knowledge management functions to
be realised on this architecture:
- Linking of various databases
- Creation of personal profiles
- Cross-linking of persons and contents
- Creation of a knowledge pool
- Avoidance of redundant data
- Reduced search times
- Higher motivation from employees
- Improved knowledge structure
- Removal of knowledge deficits
- Web supported system, no rollout issues
- User defined interest profiles
- Active notifications