Semantic Information Management
Knowledge sharing and collaboration has always been critical to human
activity. Human societies function through cooperation and teamwork.
People exchange ideas, information and knowledge to achieve consensus-based
decisions. The ubiquity of network connectivity and recent advances in
computing technology has raised this interaction to a new level by introducing
computer-mediated information sharing and consensus-based decision making
in all facets of everyday life. Continuous advancement in technologies
push the limits of the amount of information that can be processed and
the rate at which it can be processed.
Clearly the trend is moving towards providing quality time on networks at a reasonable price. These developments in technology in various areas together with the advances in network related technology provides an excellent basis for supporting collaboration in variety of application areas. Application scenarios that are now feasible include:
Medical Telediagnosis: Paramedics rushing a patient from a distant
location in an ambulance and collaborating with doctors at the hospital
on the patient's E.K.G. The two locations are physically separated
and the paramedics will have low end processing while the doctors at the
hospital will have relatively high end processing ability.
Crisis Management: Natural disaster relief and civil emergency teams manage and deploy assets and contribute critical information (from the site of the disaster) via symbols on terrain maps.
Mobile Office: A person in transit connects with the office to participate in a videoconference and accomplishes knowledge work.
Electronic Trading: A broker can now virtually trade on the trading floor from remote locations during travel. Number of brokers can collaborate to discuss using real-time quote inputs and market inputs from brokers at more than one location.
The User Interface is independent of the SEM architecture. The user
interface is the metaphor of the collaboration space where all the users
The main constituents of the SEM Architecture are
The primary function of GCOST is to ensure that all instances of objects in the collaboration session have consistent state. The table is implemented as a coordinated hierarchical hash table.; Each client in the collaboration session maintains a local GCOST, and all local GCOST’s in a collaboration session are globally coordinated so that if an entry is exists in more than one GCOST, all its instances are consistent.
The semantic Information Interpreter is responsible (a) for associatively multicasting events; over the communication media, and; (b) for interpreting incoming messages, corresponding to remote events, for relevance and translating them into local events.
For a typical interaction scenario click here.
Some Other work that uses SIM modules
Pravin Bhandarkar and Manish Parashar,Distributed Information Coordination in Dynamic Heterogeneous Environments,Extended Abstract submitted to the hpdc8 conference to be held in California,(Abstract in .ps format)
Pravin Bhandarkar and Manish Parashar," An Adaptive Framework for Collaboration in Heterogeneous Environments", submitted to the Groups 99 Conference
P.Agrawal,M.Parashar and P.Bhandarkar,"Adaptive Qos Management for Collaboration over Heterogeneous Networks",submitted to Infocom 2000 conference( file in .pdf format)
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Last updated: Mon April 04 09:28:28 EDT 1999
By Pravin Bhandarkar