Q-Sensei, Creating a New Standard for Search: Multi-Dimensional Search Defined
Derived from the Japanese word "sensei", characterizing a skilled master showing others new paths forward, Q-Sensei offers a new and advanced search technology − called multi-dimensional search − to quickly and easily find and leverage business critical information from vast stores of data.
With an intuitive user interface, Q-Sensei's multi-dimensional search leverages the wealth of data by offering multiple clear paths to navigate according to individual users' preferences and needs. It delivers a holistic, correlated, 360-degree view on data, better relevancy for each user, thus increasing productivity and driving better-informed decision-making.
Multi-dimensional search defined. This next-generation search builds on a unique combination of full-text and dynamic contextual faceted search techniques along with real-time content analysis of the data, which are organized along multiple categories or "dimensions" − content, descriptions, relations, as well as metadata tags (e.g. date, source, type, keywords, etc.).
When a user types in a search query, Q-Sensei's engine not only delivers literal matches to the query, but also provides dynamic contextual filters, organized by dimensions, which are based on the semantic and content analysis of the search results. The end result is a new end-user search experience − multiple paths to efficiently narrow the search results and/or execute lateral discoveries.
The user "interacts" with the data by selecting (or deselecting) one or more filters to quickly and efficiently narrow or expand the search, as relevant for his/her particular needs. Going beyond conventional faceted search, Q-Sensei's engine recalibrates on the fly and presents new contextually-based filters as the user moves along his/her search process. The engine works in lock-step with the user, constantly delivering controls to navigate through the data and quickly hone in on relevant and actionable information.
Ideal for creating search-based applications for all kinds of content. Q-Sensei's unique search platform makes it ideal to leverage all kinds of content, from enterprise information to web feeds and social networking feeds. Whatever the data − structured or unstructured − Q-Sensei's next-generation search tackles it with ease. Users no longer have to know a certain important data exists, as Q-Sensei guides them through the search process. Users gain better understanding of the context, relevancy and correlations of data when extracting valuable business information from multiple sources and content schemes.
Q-Sensei search is built on an open API-driven platform, with modular architecture and a light footprint − easily adaptable for any industry, company, business unit to create search-based application to address the increasing volumes of information on the Internet, in business networks (Intranet), and on private/personal computers and hand-held devices.
For further exploration:
Links:
Downloads:
- White Paper - "Advanced Search Technologies: Applicability and Trends"
- White Paper - "Multi-Dimensional Search: Unlocking the Potential of Search-Based Applications"
- Q-Sensei's KMWorld "Intelligent Search" White Paper - "Multi-Dimensional Search: Powering Data Discovery"
- NEW: White Paper - Q-Sensei Ontology-Driven Data Processing
