Spribo's core technology focuses on developing knowledge models and enabling knowledge networks, via a proprietary semantic engine that complies with industry standards. Among other things, this technology makes possible to represent concepts (e.g., people, organizations, places, events, multimedia content, diseases, etc.) and the relationships between them in a knowledge domain. This seamless knowledge representation method allows to describe the context in which people socially participate and perform inference, recommendation, and search based on their profile and behavior, which characterizes the next-generation of the Web (beyond the limits of keyword search).
Layers of a context-based online community (knowledge network).
Our vision aims at using this technology to modify substantially the way people create online communities today. The objective is to extend the value of Social Web sites (e.g., Facebook, Twitter, Blogger, YouTube, etc.) by aggregating and correlating information coming from diverse sources (e.g., blogs, discussions, documents, contacts, photos, videos, surveys, databases, applications, etc.), generating a knowledgebase to drive social applications, and offering search and analysis tools that deliver more accurate responses depending on the specific context of the community (e.g., environment, education, healthcare, politics, etc.), and the roles and social attributes of its members (i.e., identity, reputation, presence, relationships, groups, conversations, and sharing behavior).
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