Knowledge Finder analyzes
your search request and retrieves the most relevant articles based on
proprietary Knowledge Finder algorithms and probabilistic analysis
including the following elements:
1) Concept mapping - Knowledge Finder analyzes your search query and
maps your words to the language used in the database. Here are some simple
examples:
"Heart
Attack" maps to "Myocardial Infarction"
"SAH" maps
to "Subarachnoid Hemorrhage"
Drug brand
names such as "Prozac" are mapped to their generic equivalent, such as "Fluoxetine"
2) Spelling Equivalents - British/American spelling equivalents are applied (e.g., "paediatric" and "pediatric",
"haemorrhage" and "hemorrhage")
3) Word forms - Word forms are automatically introduced, including singular/plural and verb tense mapping
4) Weighting - Knowledge Finder attaches more importance to words and concepts
that appear in particular parts of the document such as the title and the thesaurus
5) Term frequency and normalization - Knowledge Finder counts the number
of words (and word variants) in a document to assess its relevance. However, unlike other
search engines that simply attach more importance to frequently occuring words, Knowledge Finder
analyses the term count in respect to document length and also recognizes the greater
importance of infrequently occuring terms with respect to other terms in the original query.
6) Automatic pre-explode - Databases such as MEDLINE have thesauri that organize specialized
language into hierarchical structures. Knowledge Finder uses this information to retrieve
terms that are "lower" in the structure as a way to identify additional relevant information. For
example, a search for "Myocardial Infarction" identifies terms such as "Cardiogenic Shock" that
are indexed below "Myocardial Infarction" in the MEDLINE thesaurus.
Knowledge Finder conveniently packages all of these enabling technologies into a single
search button. The continuous enhancement of the technology for more than 14 years ensures that you
retrieve excellent search results as quickly as possible.
To get the most out of Knowledge Finder, enter your full search query at the start. For
example, if you are interested in the use of aspirin to treat hypertension, you should enter "how
can aspirin be used to treat hypertension", not just "aspirin".
Retrieved documents are presented in order of likely relevance, unless you specifically select a
chronological ordering from the Relevance/Recency pop-up menu.