Where is enterprise search headed? Dick Weisinger takes a look at this question in his Formtek.com article, “Enterprise Search: Consumer Search Path Hints at Direction for the Enterprise.” Weisinger suggests that the consumer search space, such as how consumers interact with Google or Bing, may hold the clues for what enterprise search becomes. The author shares this about Gartner’s prediction:
Gartner says that the Enterprise Search market has grown at a rate of 11.7 percent each year since Andrews made his prediction in 2008. The market size ended 2012 at $1.7 billion and is expected to reach $1.9 billion by the end of 2013.
The author also says that traditionally a search, on Google for example, would bring back a list of documents or Web pages that are highly related to the search criteria. The user then has to look at those results to find the ‘final answer.’ Now, search engines are attempting to directly answer questions. For example, Google will directly answer a math question, world time, or word definitions. This is taken from the article:
Andrews says that by the end of 2017 that more than half of consumer searches will not be producing lists of documents, but a ‘final answer’.
While consumers get accustomed to this ‘final answer,’ it may very well lead to that demand in the enterprise search arena. Time will tell. Part of this ability to provide a ‘final answer’ and accurate search result lies in semantics and contextual meaning.
When it comes to enterprise search, consider the Semaphore platform which includes an ontology manager and classification and text mining server. These modules classify content for organizations using the process of analyzing a document and adding metadata “tags” that describe the document which is sourced from taxonomy or other form of controlled vocabulary. The ontology manager is powered by semantic technology, meaning it covers the life-cycle of taxonomy, thesauri or ontology development and maintenance. The platform automatically manages the language that defines your space or industry and with accurate metadata, business data is given contextual meaning so searchers can efficiently find the answers to their questions and thus delivering enterprises a complete information management experience.
Alice Wilson, June 18, 2013