Enterprise Search Is Stuck in the Past

July 4, 2016

Enterprise search is one of the driving forces behind an enterprise system because the entire purpose of the system is to encourage collaboration and quickly find information. While enterprise search is an essential tool, according to Computer Weekly’s article. “Beyond Keywords: Bringing Initiative To Enterprise Search” the feature is stuck in the past.

Enterprise search is due for an upgrade. The amount of enterprise data has increased, but the underlying information management system remains the same. Structured data is easy to make comply with the standard information management system, however, it is the unstructured data that holds the most valuable information. Unstructured information is hard to categorize, but natural language processing is being used to add context. Ontotext combined natural language processing with a graph database, allowing the content indexing to make more nuanced decisions.

We need to level up the basic keyword searching to something more in-depth:

“Search for most organisations is limited: enterprises are forced to play ‘keyword bingo’, rephrasing their question multiple times until they land on what gets them to their answer. The technologies we’ve been exploring can alleviate this problem by not stopping at capturing the keywords, but by capturing the meaning behind the keywords, labeling the keywords into different categories, entities or types, and linking them together and inferring new relationships.”

In other words, enterprise search needs the addition of semantic search in order to add context to the keywords. A basic keyword search returns every result that matches the keyword phrase, but a context-driven search actually adds intuition behind the keyword phrases. This is really not anything new when it comes to enterprise or any kind of search. Semantic search is context-driven search.

Whitney Grace, July 4, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

Written by Stephen E. Arnold · Filed Under Data, Enterprise, Enterprise search, News, Security

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Stephen E. Arnold monitors search, content processing, text mining and related topics from his high-tech nerve center in rural Kentucky. He tries to winnow the goose feathers from the giblets. He works with colleagues worldwide to make this Web log useful to those who want to go "beyond search". Contact him at sa [at] arnoldit.com. His Web site with additional information about search is arnoldit.com.