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Introduction: Chimezie Ogbuji

From: Ogbuji, Chimezie <OGBUJIC@ccf.org>
Date: Thu, 26 Feb 2009 11:10:28 -0500
Message-ID: <2702D0EBA4F0A749968E52E8644184EA2889B8@CCHSCLEXMB59.cc.ad.cchs.net>
To: "RDF Data Access Working Group" <public-rdf-dawg@w3.org>
My apologies for missing the teleconference

Role: Infrastructure Architect for the Cleveland Clinic Foundation SemanticDB research repository project


See my previous introduction for the W3C Data Access Working Group:

I work in the Heart and Vascular Institute's clinical research and investigation department where we manage about 100 million RDF statements in ~190k named graphs within a SPARQL dataset.  We generate SPARQL from a first-order logic reasoning system (Cyc) and have been using it for a few years as the basis for research infrastructure.  We use a few non-standard SPARQL features that are critical to our usage but not in the current specification:

- BNode identifiers that match versions of datasets
- Use of LIMIT / OFFSET as a persistent solution set cursor
- MINUS operator

This research dataset is the basis for all population-centric cohort reporting and data requests, hence our interest in the further development of an RDF query language for the semantic web.

Soon after our involvement in the last working group, we developed some methods for total functions from SPARQL to arbitrary relational schemas, algebraic operators for aggregation, deriving matching conditions using OWL descriptions, mirroring of XML documents in RDF/XML content repositories (ala XQuery containers) into SPARQL datasets via GRDDL-like transforms, and the use of OWL-DLP/RIF-Core/SPARQL as a basis for medical informatics knowledge representation and logical reasoning.

Chimezie (chee-meh) Ogbuji
Clinical Investigations
Heart and Vascular Institute
Cleveland Clinic Foundation
CWRU EECS Ph.D. Student


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Received on Thursday, 26 February 2009 16:11:23 UTC

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