Products
Features
copyright notice
and terms of use
Search Features — Search Types
 
Searching Multiple Data Sources
• Federated searching or distributed searching provides integrated searching of multiple data repositories across a network.
• Spider lets you index local and remote web-based data, including both static and dynamic data, and public-access and secure sites.
Basic Search Types
• Natural language searching lets you enter a “plain English” (or any other international language) unstructured search request.
• Phrase searching finds phrases like: due process of law.
• Boolean operators like and/or/not can join words and phrases: due process of law and not (equal protection or civil rights).
• Proximity searching finds a word or phrase within “n” words of another word or phrase: apple pie w/38 peach cobbler.
• Directed proximity searching finds a word or phrase “n” words before another word or phrase: apple pie pre/38 peach cobbler.
• Phonic searching finds words that sound alike, like Smythe in a search for Smith.
• Stemming finds variations on endings, like applies, applied, applying in a search for apply.
• Numeric range searching finds any number between two numbers, such as between 6 and 36.
• Macro capabilities make it easy to include frequently used items in a search request.
• Wildcard support allows ? to hold a single letter place, and * to hold multiple letter places: apple* and not appl?sauce.
• Regular expressions support provides a way to search for combinations of characters.
• Digit character matching enables searching for patterns of numbers.
• Unicode support allows for searching of all Unicode-based international languages, including support for “right to left” languages and special options for Asian character handling.
Fuzzy Searching
• Fuzzy searching uses a proprietary algorithm to find search terms even if they are misspelled.
• Search fuzziness adjusts from 0 to 10 so you can fine-tune fuzziness to the level of OCR or typographical errors in your files.
• A search for alphabet with a fuzziness of 1 would find alphaqet; with a fuzziness of 3, it would find both alphaqet and alpkaqet.
• Fuzziness is not built into the index, so you can vary fuzziness at the time of each search.
Concept / Synonym / Thesaurus Searching
• Concept searching lets you look for fast and find quick, speedy, etc.
• dtSearch offers variable levels of automatic synonym expansion based on a comprehensive semantic network of the English language.
• You can also add your own thesaurus terms.
Relevancy-Ranking Options
• “Vector space” term weighting
• Variable term weighting (positive and negative)
• Fielded data ranking
• Other ranking options
• Data classification objects
• Faceted search
Special Forensic Search Options
• “What is the difference between regular and forensic search?” (Links to dtSearch interview posted at enterprisefeatures.com.)
• Forensic filtering for unrecovered data
• Credit card searching, advanced data recognition and more
Combining Search Types
• Nearly all search types are combinable.
• You can make your search request as complex as you want.
 
 
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
 
 
dtSearch dtSearch Maze