A Multi-level Biomedical Ontology-enabled Broker: Dynamic Service-based Data Source Integration
Abstract
Web services have recently become a new trend for gathering
biomedical information. However, it is not easy to integrate and
obtain a concise/complete query result among thousands of service
operations. In this dissertation, we propose a multi-level
ontology-enabled service broker system for dynamically integrating
web services in the biomedical domain (BioServiceBroker). By
introducing multi-level modeling concepts and intra/inter level
relationships, our approach facilitates more accurate modeling of
biomedical ontologies, which leads to a better understanding of the
data stored in various biological data sources as well as the
services provided by the data sources. In addition, we incorporate
temporal concepts with new enhanced QoS measures, which allow
service requesters to control more querying factors in order to
precisely invoke corresponding service operations. We also define a
Unified Biomedical Service Interface (UBSI) as a proposed service
deployment standard.
The multi-level ontology-enabled service broker system can be
combined with other mediator systems for cross referencing the
diverse bioinformatics sources and can also be utilized in other
application domains. Our ultimate goal is to construct a public,
scalable, and interoperable biomedical service platform based on
UBSI to benefit scientists in data searching and publishing.