Robert Emmett Mccann

Matching Schemas in Online Communities: A Web 2.0 Approach

When integrating data from multiple sources, a key task that online communities often face is to match the schemas of the data sources. Today, such matching often incurs a huge workload that overwhelms the relatively small set of volunteer integrators. In such cases, community members may not even volunteer to be integrators, due to the high workload, and consequently no integration systems can be built. To address this problem, we propose to enlist the multitude of users in the community to help match the schemas, in a Web 2.0 fashion. We discuss the challenges of this approach and provide initial solutions. Finally, we describe an extensive set of experiments on both real-world and synthetic data that demonstrate the utility of the approach.

Model Selection Management Systems: The Next Frontier of Advanced Analytics

John Boyd recognized in the 1960s the importance of situation awareness for military operations and introduced the notion of the OODA loop (Observe, Orient, Decide, and Act). Today we realize that many applications have to deal with situation awareness: Customer Relationship Management, Human Capital Management, Supply Chain Management, patient care, power grid management, and cloud services management, as well as any IoT (Internet of Things) related application; the list seems to be endless. Situation awareness requires applications to support the management of data, knowledge, processes, and other services such as social networking in an integrated way. These applications additionally require high personalization as well as rapid and continuous evolution. They must provide a wide variety of operational and functional requirements, including real time processing. Handcrafting these applications is an almost impossible task requiring exhaustive resources for development and maintenance. Due to the resources and time involved in their development, these applications typically fall way short of the desired functionality, operational characteristics, and ease and speed of evolution. We - the authors - have developed a model enabling the development and maintenance of situation-aware applications in a declarative and therefore economical manner; we call this model KIDS - Knowledge Intensive Data-processing System.