Applying a semantic model to an immunology database
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abstract: Work is underway to develop a research database that will assist investigators in designing protocols for flow-cytometry immunologic experiments. Flexibility, consistency, cooperation and transparency have been identified as highly desirable goals. The relational model, used for implementing the database, has however some limitations. We are exploiting a structural model of the database to develop application-independent capabilities that address those relational weaknesses. Examples of applying such semantic information in the field of integrity maintenance and data abstraction through generation of objects are presented.
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| Abstract | Work is underway to develop a research dat … Work is underway to develop a research database that will assist investigators in designing protocols for flow-cytometry immunologic experiments. Flexibility, consistency, cooperation and transparency have been identified as highly desirable goals. The relational model, used for implementing the database, has however some limitations. We are exploiting a structural model of the database to develop application-independent capabilities that address those relational weaknesses. Examples of applying such semantic information in the field of integrity maintenance and data abstraction through generation of objects are presented. rough generation of objects are presented. |
| Address | Washington, D.C. + |
| Author | Thierry Barsalou +, and Gio Wiederhold + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-87-23 + |
| Number | KSL-87-23 + |
| Tag | Computer science + |
| Title | Applying a Semantic Model to an Immunology Database + |
| Tr id | KSL-87-23 + |
| Year | 1988 + |
