Identity Systems, a division of Nokia's Enterprise Solutions business group and a worldwide leader in identity searching and matching technology, announced Identity Search Server (ISS) V2.7, a significant upgrade to the company's complete solution for identity searching, screening, matching and duplicate discovery across the enterprise. The new Unstructured Data Module (UDM) provides the functionality needed to identify and extract the desired entities - names, addresses, organizations, phone numbers, etc. - from an extended range of electronic depositories and index them using fuzzy algorithms. ISS v2.7 already supports 65 languages by default and can support every other language. The technology offers major advantages in search and match capabilities to Identity Systems' highly regarded customer base, which includes more than 600 global corporations and organizations, such as GE Capital, Bell Atlantic, Federal Express and the Internal Revenue Service.
The UDM facilitates discovery, indexing and searching by performing entity extraction from ASCII text and flat file documents. Extracted entities can include company, country, currency, date, person, phone number, address, product or social security number. The extracted entities and the metadata of the documents the entities originated from are then stored in ISS database objects. This stored metadata includes an abstract of the document, which can be defined by the user or generated by the UDM. The extracted entities are then passed to the ISS key logic for fuzzy index creation based on user-defined rules.
When a search is initiated, the input search criteria - name, address, organization, etc. - is used to perform a query on the indexed entities. The returned search results will include match scores, location of the source document and the abstract. The entities can be accessed through the ISS search APIs, and changes to the documents are automatically indexed by the Update Synchronizer.
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