In many organizations, employees keep their research, financial projections, and presentations on local PCs or team-shared space on the company network. Accessing, or even finding, such information often proves difficult when staff or storage rules and structures change.
Sybase OmniQ technology extracts and processes the text content from Web pages, e-mail messages, documents, and other forms of information where the content is unstructured. The ability to automatically process this content removes the need to index or describe information manually and allows organizations to automate such common business operations as data capture, retrieval, and linking. OmniQ technology offers an efficient and cost-effective solution for searching unstructured information, regardless of the format, and independent of the language in which the content is written.
The Internet offers familiarity with the most common type of search and retrieval technology—keyword search. Most people are familiar with the process of retrieving the information by typing one or two relevant keywords into a search engine. This process can be frustrating, ineffective, and time-consuming.
Keyword search technology requires a business to identify documents by associating keywords with the document, which are then used for subsequent retrieval. This process is known as document “tagging.” There are a number of problems with this approach:
It is difficult to select a small number of keywords to represent all the concepts in a long document.
Chosen keywords may be language-specific.
The process of tagging information is expensive.
OmniQ provides the means to automatically capture and retrieve information based on concepts rather than keywords. Through the use of proprietary algorithms, OmniQ delivers a language-independent product capable of operating without the costly overhead associated with tagging. This provides an essential tool for managing the proliferation of unstructured information in today’s business environment.
OmniQ Enterprise Edition offers a number of features that allow today's organizations to ease or eliminate the time and cost required to support the demands of managing an organizations unstructured information. These features include:
The support of more than 250 different formats of data, including most types of document, presentation, spreadsheet, and Web content formats.
The automatic capture and aggregation all of unstructured data.
The elimination of preprocessing or manual tagging of files, greatly improving the accuracy and efficiency of document retrieval.
The extraction of paragraphs from matching documents.
The ability to find similar documents by automatically providing a set of relevant content that is conceptually related to each document.
The ability to scale to millions of documents using a fully distributed architecture
The ability to query and process using natural language.
Language independence.
A well-defined Java and XML API that allows OmniQ Enterprise Edition to be integrated easily into other applications.
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