Monday, April 1, 2002

Leveraging components in a hyperspatial knowledge management application


By Bain McKay

In my previous article (at we discussed knowledge componetization and profiling, as well as how we learn and process signals in a way that hyperspatial indexing can help.

In this article we'll focus on ways to leverage components in a hyperspatial knowledge management application for optimizing knowledge reuse.

The culture of language and the language of culture

Language is a semantic constraint used to define the static and dynamic properties of concepts in the environment in which we work. Thus, when we trace the semantic relationships in and across documents in corporations, not only do we uncover the usage relationships of knowledge concepts shared and articulated in documents, but we uncover the culture through the language they use.

Although clearly the language around the water cooler and in extra-curricular activities is spiced with other semantically-rich markers, the language of work is also a powerful tool to facilitate the recognition, capture, preservation, leveraging, and monitoring of knowledge concepts by Knowledge Management systems.

As a result, common language plays a major role in corporate culture development and productivity, and therefore it plays a central role in Knowledge Management application development and speed of adoption. So it should come as no surprise that change management is a key service required to help corporate users move successfully into a more semantically rich knowledge management environment.

Beyond signature transformations

kSigs and profile aggregations can be transformed into standard query languages for harnessing the knowledge concepts found in legacy systems in relational databases and fultext indexing systems. They can also be mapped onto the most advanced emerging technologies like Ontology Libraries, which go well beyond taxonomy hierarchies, extending component relationships into richer knowledge concepts, facilitating autonomous intelligent inter-agent communications through standards like XOL (XML-based Ontology Exchange Language), DAML+OIL (DARPA [Defense Advance Research Projects Agency] Agent Markup Language+Ontology Inference Layer), and UML (Unified Modeling Language) 1.4 PIM/PSM (Platform Independent Models/Platform Specific Models) auto profiling. Ontology Library adaptive mediation could even be used for building self-aware adaptive component-based systems AOM(Adaptive Object Model), leveraging emerging standards like TML (Thesaural Mark-up Language), KQML (Knowledge Query Mark-Up Language), and KIF (Knowledge Interchange Format). These are exciting new areas for Knowledge Management as 2G-KM (Second Generation Knowledge Management) matures to address the above integration technologies in a more comprehensive fashion.