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Databases, Other Fielded Data, Data Classification Objects and Faceted Search

Related article:  Crossing the Full-Text Search / Fielded Data Divide from a Development Perspective

In addition to full-text search options, dtSearch offers extensive fielded data support.  These include:
indexing and searching of all popular database formats
special XML and SQL search features
indexing and searching of BLOB data
indexing and searching of fields in all supported file types
extensive developer support for adding on-the-fly classification information and other fields to documents during indexing
Additional information:
dtSearch automatically detects fields (including document summary information fields) in a wide range of supported file types.
In addition to full-text searching, dtSearch can also search by field name: (Author contains John Smith) and (Subject contains turbine generators).
Variable term weighting can also apply to fields:  (description:5 contains (apple and pear)) or (author:2 contains smith)
dtSearch supports hierarchical field structures in XML data, including both fields and attributes, enabling highly refined nested field queries.
The dtSearch Engine supports SQL-type databases through developer APIs (.NET, Java, C++ and COM).
dtSearch Engine APIs also support faceted search.
API options for data classification:
A wide range of API filters and objects support categorization via document full-text contents, document fielded data, database content, or data attributes attached during document indexing.
For example, search filter objects work in conjunction with end-user query dialects to allow multiple users with different security classifications to search the same document collection, without having to maintain separate indexes corresponding to each classification level.
A single query can include an “exact phrase” full-text end-user search request; second-level Boolean search expressions (such as one or more field or metadata search criteria); and developer-added filtering expressions (such as a filtering expression to filter out documents that do not match a user’s security classification).
For additional information on database indexing, adding fields to documents during indexing, sorting search results, generating a synopsis to display in search results, and faceted search, please see the Databases and Field Searching topic and the Displaying Search Results topics on the FAQ Selected Articles by Subject page. 
See Also: Relevancy-Ranking
 
Instantly Search Terabytes of Text
dtSearch document filters support a broad range of data
Supports MS Office through current versions (Word, Excel, PowerPoint, Access), OpenOffice, ZIP, HTML, XML/XSL, PDF and more
Supports Exchange, Outlook, Thunderbird and other popular email types, including nested and ZIP attachments
Spider supports public and secure, static and dynamic (ASP.NET, SharePoint, CMS, PHP, etc.) web data
APIs for SQL-type data, including BLOB data
Highlights hits in all supported data types
25+ full-text and fielded data search options
Federated searching
Special forensics search options
Advanced data classification objects
APIs for C++, Java and .NET through current versions
64-bit and 32-bit Win / Linux APIs; .NET Spider API
Document filters also available for separate licensing
 
 
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