Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
A Hybrid Approach for Dynamic Business Process Mining Based On Reconfigurable Nets and Event Types
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Siena: From PowerPoint to Web App in 5 Minutes
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
Server Hunt: Using Enterprise Social Networks for Knowledge Discovery in IT Inventory Management
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
Peoplecloud for the globally integrated enterprise
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
From sensing to controlling: the state of the art in ubiquitous crowdsourcing
International Journal of Communication Networks and Distributed Systems
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Knowledge that cannot be discovered through automated methods, such as user practices, remains in informal mediums. It is unstructured, and in collective possession of the experts, yet it is key for business insights. Typically this "Non-Discoverable knowledge" is gathered in semi-automated way, which at best provides crude estimates, and doesn't scale. In this paper, we describe our novel approach to rapidly design a process solution for a family of business objects, gathering required knowledge through the use of social networking to identify the experts. We propose a "Deconstructed Survey" that captures the knowledge request, and manages its lifecycle through task forwarding and sub-tasking. We developed the system BizRay, instantiating the proposed approach as a general-purpose, self-service Web-based, crowdsourcing service. We demonstrate its effectiveness in accelerating knowledge discovery, through our experiences with deployments for IT Optimization and Services Delivery.