Fact-based Enterprise Information Management using NIAM
The effort to consolidate the ``islands of information`` within an enterprise -- to manage information at the enterprise level rather than the department or sub-system level -- is known by many names, such as ``Information Resource Management`` and ``Corporate Data Administration``. Here we will call it ``Enterprise Information Management`` (EIM). This effort is becoming increasingly vital as the need for shared information grows, yet it is plagued by costly, time-consuming efforts that produce reams of hard-to-maintain documentation. The results are difficult to integrate, measure, or apply. Management needs a tool that can integrate models from diverse modeling efforts into a global knowledge base, produce metrics to clarify the value of the integration process, and provide a short, traceable route between information models and their physical implementations. The natural-language emphasis of NIAM makes it an ideal candidate for this tool. When integrated with enterprise-wide data administration, the collection of metrics, CASE tools that produce application code, and automated support tools, NIAM can effectively manage multiple Universes of Discourse (UOD). Prototypes of automated support tools, ``Fact Manager`` and ``Fact Designer``, will be discussed.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC04-76DP00789
- OSTI ID:
- 10191968
- Report Number(s):
- SAND-93-1211C; CONF-9309238-2; ON: DE93041135
- Resource Relation:
- Conference: 1993 conference on natural language information analysis methodology and information system design methodology,Utrecht (Netherlands),15-17 Sep 1993; Other Information: PBD: [1993]
- Country of Publication:
- United States
- Language:
- English
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