- From: Kashyap, Vipul <VKASHYAP1@PARTNERS.ORG>
- Date: Wed, 10 Oct 2007 14:07:43 -0400
- To: <public-owl-wg@w3.org>
- Message-ID: <DBA3C02EAD0DC14BBB667C345EE2D124010F00CB@PHSXMB20.partners.org>
Hi, My name is Vipul Kashyap and I have been some sort of a semantics junkie/evangelist/believer right since the early days of my career as a computer scientist. Though metadata, semantics and ontology-based approaches are currently gaining steam, various researchers have been working along these lines for a long time. Some systems which I have been associated with are: The InfoHarness system, (with Amit Sheth and Leon Shklar) developed at Bellcore (now known as Telcordia) was a metadata-driven system for logically restructuring the information space. GeoLens (http://www.argreenhouse.com/geolens), VisualHarness and commercial products such as Adept X/Harness, SmartCode/Metaphoria were built on top of this platform. The OBSERVER system (http://sid.cps.unizar.es/OBSERVER) (with Eduardo Mena) demonstrated the use of independently developed ontologies (based on WordNet) to interrogate independently developed data repositories (e.g., the Library of Congress and the Library of Monterrey) storing information using different formats (e.g., MARC records) and supporting different information access protocols (Z39.50). This was one of the earliest systems that used Description Logics (like OWL-DL) for information integration and retrieval. The InfoSleuth system (http://www.argreenhouse.com/InfoSleuth) demonstrated the use of ontology and semantics-aware agent communities for information gathering and analysis. I worked on the ontology agent that used OKBC protocol and KIF as the interchange language for expressing ontologies. The TaxaMiner system (http://lsdis.cs.uga.edu/~cartic/taxaminer.htm) demonstrated the use of NLP and statistical techniques to bootstrap rough ontologies from medical research articles from PubMed. We were able to generate ontologies that approximated MeSH to a large extent. My experiments and adventures with semantics made it clear to me that nowhere is the need and alignment with semantics so clear as with the HealthCare and Life Sciences information! And besides, Biomedicine has been one of the earliest users of semantics, courtesy, the Linneas Binomial Classification of species !!! This led me to a two year Research Fellowship at the National Library of Medicine after which I joined Partners HealthCare System as a Senior Medical Informatician. At Partners Healthcare, we are currently evaluating semantic web specifications and technologies such as OWL and RDF for clinical decision support, impact analysis and change management. We look forward to contribute use cases from the Healthcare and Life Sciences and help define a robust and pragmatically usable OWL 1.1 specifications that support our use cases and requirements. To this end, I am currently leading a task force on Clinical Observations Interoperability that is exploring semantic web based approaches for interoperation between EMRs and Clinical Trial Systems. http;//esw.w3.org/topic/HCLS/OntologyTaskForce/BIONTDSEDCM Look forward to working with you folks. Let's reach out for the chips, salsa and beer ... Let the party begin ... !!! Semantically yours, ---Vipul Kashyap ======================================= Vipul Kashyap, Ph.D. Senior Medical Informatician Clinical Informatics R&D, Partners HealthCare System Phone: (781)416-9254 Cell: (617)943-7120 http://www.partners.org/cird/AboutUs.asp?cBox=Staff&stAb=vik To keep up you need the right answers; to get ahead you need the right questions ---John Browning and Spencer Reiss, Wired 6.04.95 The information transmitted in this electronic communication is intended only for the person or entity to whom it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. If you received this information in error, please contact the Compliance HelpLine at 800-856-1983 and properly dispose of this information.
Received on Wednesday, 10 October 2007 18:08:02 UTC