Data Source Indexing

Indexing Data Sources independently from their original source

Providing advanced full text indexing capabilities.

Data Sources can also be indexed independently from their original source to provide advanced full text indexing capability without a third-party dependency.

Multiple data sources can be independently indexed and used in the same search context even if the underlying data provider does not support indexing.

KnowledgeKube’s indexing technology supports the following features:

“Did you mean?” spelling suggestions.
Includes custom dictionary support for organisational acronyms, terminology and names.

Indexes can be assigned to location categories and multiple content categories, giving end-users choice in which sections of data are searched.

Most common file formats can be indexed.
Office 97, 2007+, PDF, RTF, TXT, HTML, …

Complex expression support.
Nested groups, partial matching, NOT, OR and AND
Brackets indicate grouping, "-" indicates a NOT operator, OR indicates OR logic, AND indicates AND logic (implicit when not specified). Groups can be nested to any number of levels, and may contain any legal expressions (phrases, NOT, OR, AND). Wildcards * can be used to indicate partial matches.

Phrase matching.
Portions of a query to be surrounded with quotes causing the contained keywords to be treated as an exact phrase, search results will contain the words in the phrase in precise order.

Indexing supports the most common text encoding schemes.
Unicode, UTF-8, ASCII, Cyrillic, Greek, …

Stemming and lemmas support.
For example, run, runs, ran and running are forms of the same lexeme, with run as the lemma.

Smart results and keyword highlighting.


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