Rule-Based Querying of Distributed, Heterogeneous Data

摘要

When searching for data, users tend to think in terms of the information they need to retrieve and not where and how it is stored. This is especially true in the highly complex domain of neurological research. The generic medical querying service described herein, aims to close the gap between users and data resources that are intricate, distributed and heterogeneous in nature. A theme that is common to both this domain and the emerging Internet of things is that users often need to query more than a single resource. This has come about with the large-scale fragmentation and distribution of data. Our work thus far has produced a prototype architecture for the querying of heterogeneous distributed data in the medical domain. A flexible querying mechanism that has the potential to support agent-based personalization has been developed to provide users with accurate and relevant results and some initial results are presented.