BusinessObjects ThingFinder SDK
"Read" and identify key entities, relations and events in text.
ThingFinder extracts entities, relations and events in all major languages for information discovery applications, including publishing, categorization, link analysis, data and text mining, business intelligence, customer service, content management, and more.
Virtually all of the leading software development companies use ThingFinder to add the best information analysis and discovery capabilities to their software applications for sale to their own customers.
Our well-designed and thoroughly tested APIs make it easy for software OEMs to tightly integrate Inxight's technology into their own applications, providing their customers the best tools available, and giving the software OEM a distinct competitive edge in both capability and time-to-market. Applications include: Business Intelligence and CRM, Legal and eDiscovery, Publishing & Information Aggregation, Information Leak Prevention, Security, Smart Storage, and Search.
"SmartDiscovery's tools will allow us to process our site's content more quickly and efficiently. By reducing the amount of time it takes to sort the content, we will be able to provide more information to our customers with greater precision and accuracy."
Matthew Rowley
Chief Information Officer
Onvia
Technical Specifications
Version:
4.3
Product Editions:
ThingFinder SDK. Server-based version included in BusinessObjects Text Analysis.
License Model:
Please contact a sales representative for license details.
Available Language Modules:
Arabic, Bokmål, Catalan, Croatian, Czech, Danish, Dutch, English, Farsi, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Japanese, Korean, Nynorsk, Polish, Portuguese, Romanian, Russian, Serbian, Simplified Chinese, Slovak, Spanish, Swedish, Thai, Traditional Chinese, Turkish.
Pre-defined Entity Types:
Address, City, Company, Country, Currency, Date, Day, Financial Index, Holiday, Internet Address, Month, Measure, Noun Group, Organization, Percent, Person (Affiliation, Position, Given Name, Family Name, Suffix, Phone Number), Place (Regions, Political, Geographic Types), Product, Social Security Number, State, Time, Time Period, Vehicle (Make, Model, Color, VIN, License Plate), Year
Entity types can be customized and new categories may be added. Pre-defined types vary by language module.
Entity types can be customized and new categories may be added. Pre-defined types vary by language module.
Pre-defined Event and Relationship Types:
Company information, such as contact information and executives, mergers and acquisitions; people's familial and interpersonal relationships, attributes and appearance; people's and organizations' actions, such as travel events and more
Supported Operating Systems and Compilers:
Solaris 9.0
(Sparc, 32 Bits, gCC 3.2.3)
Solaris 9.0
(Sparc, 32 Bits, Sun Studio 11)
Red Hat ES 4.0 and 5.0
(Intel, 32 Bits, gCC 3.4.3)
Windows 2000
(Intel, 32 Bits, MSVC 7.1)
Windows XP
(Intel, 32 Bits, MSVC 7.1)
Windows 2003 Server
(Intel, 32 Bits, MSVC 7.1)
HPUX 11.11
(PPA, 32 Bits, aCC A.03.37)
AIX 5.2
(PPC, 32 Bits, Visual Age 5.0)
Contact Us:
For sales or general inquiries call:
U.S. and Canada: +1 866 681 3435
Europe: 00800 55 11 55 11
Asia Pacific: find an office near you
Request Information:
Need a demonstration or additional product information?
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Thank you for your interest
Please contact a local sales office near you so we can help understand your business needs and tailor a complete solution that will work best for your business.
Alternatively, locate a Business Objects alliance or system integrator partner using our partner locator tool.These partners are global leaders in a wide variety of specialties, industries and vertical markets and can also work with you to create an overarching solution.
Key Features
Language-Aware Tokenization
Uses language-aware tokenization, part-of-speech tagging and noun phrase identification to automatically extract/classify entities, relations, events.
Easily Extended
Can be easily extended to identify and extract custom pattern-based or list-based entities, relation and events using a GUI or RegEx language.
Variant Identification and Grouping
Variant Identification and Grouping provides true counts reflecting the number and location of ALL appearances of a given entity.
Custom Extraction
Custom extraction can include regex, stems, part-of-speech, phrase/clause boundaries, list matching, input matching filters, case insensitive matching, etc.
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BusinessObjects Text Analysis
'Read' text in 30+ languages, extracting key information so text can be used as a data source for business intelligence.
Contact sales now:
Request a demo:
U.S. & Canada 1 866 681 3435
Europe: 00800 55 11 55 11
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