In many organizations, employees keep their research, financial projections, and presentations on local PCs or team-shared space on the company network. Finding and accessing this information often proves difficult when staff or storage rules and structures change.
Sybase Search extracts and processes text content from file systems, databases, intranets, and the Internet. The ability to automatically process unstructured 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. Sybase Search technology offers an efficient and cost-effective solution for searching unstructured information, regardless of the format and the language in which it is written.
The Internet offers familiarity with keyword search, which is the most common type of search-and-retrieval technology. Most people are familiar with the process of retrieving the information by typing one or two relevant keywords into a search engine.
However, keyword search technology requires a business to identify documents by associating keywords with the document, which are then used for retrieval. This process, known as document “tagging,” can be costly and time-consuming.
Sybase Search lets you automatically capture and retrieve information based on concepts rather than keywords. Through the use of proprietary algorithms, Sybase Search delivers a language-independent product capable of operating without the costly overhead associated with tagging.
Sybase Search:
Supports different formats of data, including most types of document, presentation, spreadsheet, and Web content formats
Automatically captures and aggregates all unstructured data
Eliminates preprocessing or manual tagging of files, greatly improving the accuracy and efficiency of document retrieval
Extracts paragraphs from matching documents
Finds similar documents by automatically providing a set of relevant content that is conceptually related to each document
Allows indexing millions of documents using a fully distributed architecture
Queries and processes using a natural language
Eliminates any language dependency
Easily integrates with other applications using Sybase Search well-defined Java APIs, XML APIs, and Web service
Presents search results with alternative matching, relevant documents that might not have been suggested from the original query
Supports multidocument files (like XML, ZIP); allows separate documents in a single file to be indexed separately
Slices large documents into manageable sections that improves search results
