CHiPS™: Collaborative High Precision Search
CHiPS™ is an ontology-based semantic search engine for an enterprise document repository. Unlike traditional search engines that find documents by matching literal keywords given in a brief search string provided by the user, semantic search is finding documents that are semantically similar (i.e. similar in meaning) to the search query.
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The key advantages comparing to traditional search systems are:
Using full sentences and paragraphs instead of just sparse keywords, will enable for a more complete and focused search. The search query in CHiPS™ can be a single question or an even an entire document which enables more applications: search for similar documents, finding relevant forum branches for a verbose new message, etc.
Discover new directions of research through the Related Concepts cloud comprised of ontology concepts found in the result set, but missing from the query.
Each search is cached and assigned a unique bookmark link in order to enable collaborative data analysis between teams. When sharing with a collaborator the same search bookmark link, the collaborator will see the same search and results.