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.

Screenshot of a web application titled 'Collaborative High Precision Search' with search results for medical topics. The interface includes a search input section at the bottom, a result set pane listing four search results in the middle, and menu bar and lyMBA logos at the top. Labels point out the 'Menu Bar,' 'Result Set Pane,' and 'Search Input Text Pane.'

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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.