IBM Omnifind
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IBM Omnifind
IBM OmniFind was an enterprise search platform from IBM. It did come in several packages adapted to different business needs, including OmniFind Enterprise Edition, OmniFind Enterprise Starter Edition, and OmniFind Discovery Edition. IBM OmniFind as a standalone product was withdrawn in April 2011 and is now part of IBM Watson Content Analytics with Enterprise Search. IBM OmniFind Yahoo! Edition was a free-of-charge version that could handle up to 500,000 documents in its index and was intended for small businesses. IBM OmniFind Yahoo! Edition was simple to install, provided a user friendly front end for administration, and incorporated technology from the open source Lucene project. IBM withdrew this product from marketing effective September 22, 2010 and withdrew support effective June 30, 2011. IBM OmniFind Personal E-mail Search was a research product launched in 2007 for doing semantic search over personal emails by extracting and organizing concepts and relationships (such a ...
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Enterprise Search
Enterprise search is the practice of making content from multiple enterprise-type sources, such as databases and intranets, searchable to a defined audience. "Enterprise search" is used to describe the software of search information within an enterprise (though the search function and its results may still be public). Enterprise search can be contrasted with web search, which applies search technology to documents on the open web, and desktop search, which applies search technology to the content on a single computer. Enterprise search systems index data and documents from a variety of sources such as: file systems, intranets, document management systems, e-mail, and databases. Many enterprise search systems integrate structured and unstructured data in their collections. Enterprise search systems also use access controls to enforce a security policy on their users. Enterprise search can be seen as a type of vertical search of an enterprise. Components of an enterprise search sy ...
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Lucene
Apache Lucene is a free and open-source search engine software library, originally written in Java by Doug Cutting. It is supported by the Apache Software Foundation and is released under the Apache Software License. Lucene is widely used as a standard foundation for non-research search applications. Lucene has been ported to other programming languages including Object Pascal, Perl, C#, C++, Python, Ruby and PHP. History Doug Cutting originally wrote Lucene in 1999. Lucene was his fifth search engine, having previously written two while at Xerox PARC, one at Apple, and a fourth at Excite. It was initially available for download from its home at the SourceForge web site. It joined the Apache Software Foundation's Jakarta family of open-source Java products in September 2001 and became its own top-level Apache project in February 2005. The name Lucene is Doug Cutting's wife's middle name and her maternal grandmother's first name. Lucene formerly included a number of sub-projec ...
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Semantic Search
Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query. Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Content that ranks well in semantic search is well-written in a natural voice, focuses on the user's intent, and considers related topics that the user may look for in the future. Some authors regard semantic search as a set of techniques for retrieving knowledge from richly structured data sources like ontologies and XML as found on the Semantic Web. Such technologies enable the formal articulation of domain knowledge at a high level of expressiveness and could enable the user to specify their intent in more de ...
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LanguageWare
LanguageWare is a natural language processing (NLP) technology developed by IBM, which allows applications to process natural language text. It comprises a set of Java libraries which provide a range of NLP functions: language identification, text segmentation/tokenization, normalization, entity and relationship extraction, and semantic analysis and disambiguation. The analysis engine uses Finite State Machine approach at multiple levels, which aids its performance characteristics, while maintaining a reasonably small footprint. The behaviour of the system is driven by a set of configurable lexico-semantic resources which describe the characteristics and domain of the processed language. A default set of resources comes as part of LanguageWare and these describe the native language characteristics, such as morphology, and the basic vocabulary for the language. Supplemental resources have been created which capture additional vocabularies, terminologies, rules and grammars, which m ...
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UIMA
UIMA ( ), short for Unstructured Information Management Architecture, is an OASIS standard for content analytics, originally developed at IBM. It provides a component software architecture for the development, discovery, composition, and deployment of multi-modal analytics for the analysis of unstructured information and integration with search technologies. Structure The UIMA architecture can be thought of in four dimensions: # It specifies component interfaces in an analytics pipeline. # It describes a set of design patterns. # It suggests two data representations: an in-memory representation of annotations for high-performance analytics and an XML representation of annotations for integration with remote web services. # It suggests development roles allowing tools to be used by users with diverse skills. Implementations and uses Apache UIMA, a reference implementation of UIMA, is maintained by the Apache Software Foundation. UIMA is used in a number of software proj ...
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