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Wellington-based software company Syl Semantics can now announce that since July, the Ministry of Business, Innovation and Employment, Science and Innovation group has being using Syl Semantics’ search engine technology across a number of their content sources.
Syl Semantics’ chief executive Sean Wilson said, “Although the new search technology formally went live earlier this year following a stress-free implementation, we haven’t been able to announce this contract until now. Winning this business was an important milestone for the company in that it provides a reference site within a core government agency.”
Initially, Syl’s semantic search technology was implemented across Science and Innovation’s client relationship management database, information management system, global expert database, windows file share and external website. Since becoming part of MBIE in July, this has been expanded to include the external websites of the former Departments of Labour, Building and Housing and Ministry of Economic Development.
Steve Pyne, Science and Innovation’s chief information officer said, “Syl provides a number of additional benefits over and above traditional enterprise search solutions, and is ideally suited to an environment in which much of the data uses highly technical, scientific language. Syl’s semantic search capability means we are now better able to access the information we require, and that searching produces faster and more accurate results.”
Syl Search's point of difference is that its search engine is an information access tool enabling enterprises to find information based on the context of words in any file or database record, automatically understanding synonyms, acronyms and relationships. The semantic search engine evaluates a much wider portion of content and its context when evaluating a search request, much as the human brain does.
Syl says the use of specialist search engine technology means significantly improved search efficiency when compared to other enterprise tools with a search component. The engine’s semantic design delivers smarter search capability through providing results that are in context.
The use of a customised dictionary of commonly used scientific acronyms, synonyms and specialist terms and language, integrated into Syl, allows Science and Innovation staff to search without having to hesitate and best guess how to reconfigure their particular search in everyday language.
Sean Wilson said, “This latest implementation of Syl Search provides further evidence that Syl can offer very significant benefits to any organisation that has a need for fast, accurate and comprehensive search across their structured or unstructured data environments.”