At Rice University I was a member of Pliny research project. Within the Pliny project I was working on Pliny Database (PDB) system which is a Cluster Compute Platform. You can find more details on our initial research paper and poster.
At Free University Berlin I was involved in the following research projects:
- Corporate Smart Content, our sub-project Smart Content Enrichment funded by the German Federal. Ministry of Education and Research (BMBF). I worked on “Semantic Mining of Complex Event Patterns from Coprorate Data Streams“.Abstract: “In this research, we address the problem of automated extraction of patterns for detection of complex events. The existing approaches for the pattern detection are primarily dealing with syntactical processing of event sequences to detect complex patterns only based on the sequences of event happening. As an extension of the existing approaches for pattern mining, we investigate the usage of ontological background knowledge to be able to extract complex event patterns based on the relations of patterns to the resources in the background knowledge.”
- Corporate Semantic Web funded by the German Federal. Ministry of Education and Research (BMBF). I was involved in multiple subprojects but more was focused on my research on Semantic Complex Event Processin.Abstract: “One of the critical success factors of event-driven systems is the capability of detecting complex events from simple and ordinary event notifications. Complex events which trigger or terminate actionable situations can be inferred from large event clouds or event streams based on their event instance sequence, their syntax and semantics. Using semantics of event algebra patterns defined on top of event instance sequences for event detection is one of the promising approaches for detection of complex events. The developments and successes in building standards and tools for semantic technologies such as declarative rules and ontologies are opening novel research and application areas in event processing. One of these promising application areas is semantic event processing. “
- “Digipolis” project funded by the German Federal. Ministry of Education and Research (BMBF) under grant number 03WKP07B. I worked on a “A Swarm-based Semantic Storage Service”.
Abstract: The amount of data handled by semantic applications is expected to increase over a level manageable by available storage systems. Distributed semantic storage solutions are a promising way to increase storage capacity, but current approaches often rely on static network structures. We are in the process of developing a Self-Organized Semantic Storage Service using swarm intelligence to overcome the limitations in storage capacity and network dynamics.
- TripCom (Triple Space Communication) project was a Strategic Research Project (STREP) funded by the European Commission under FP6. I was involved in project workpackage 2 and worked on building a distributed middelware for semantic data.
I am also active in the following Open Source Projects:
- Prova an open source rule language for reactive agents and event processing rule engine.
I worked on an approach for semantic event processing in Prova.
My github profile is: https://github.com/kiat