Spribo's core technology focuses on enabling context-based knowledge models and online communities (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., defined as "social objects") and the relationships between them in a specific knowledge domain (context).
This seamless knowledge representation method allows to describe the particular context in which people socially participate and perform data inference, recommendation, filtering, and search based on their profile attributes and social behavior, which characterizes the next-generation of the Web (beyond the limits of keyword search).
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 media sites like Facebook or Twitter, letting your network members link their accounts to share content from your own online community and aggregating and correlating particular "social objects" information related to it, generating a knowledgebase based on your own context to offer social applications oriented to these objects and tools for data inference, recommendation, search, filtering, and analysis that deliver more accurate responses to your network members, depending on the specific context of the community (e.g., healthcare, politics, entertainment, sports, innovation, etc.), as well as their profile attributes and social behaviour (i.e., identity, reputation, presence, relationships, groups, conversations, and sharing behavior).