Titlebook: Handbook on Knowledge Management 2; Knowledge Directions Clyde W. Holsapple Book 2003 Springer-Verlag Berlin Heidelberg 2003 Intellectual C

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t. The one important case where the Command object is required is when you have to capture parameters . from stored procedures. ADO is very smart when it comes to handling stored procedures, so if you aren’t returning OUTPUT parameters, and if you don’t care about the stored procedure return status,

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David Teece,Gary Pisanodigging right into the coding techniques. So, this chapter has a few theoretical sections that describe ADO and where it fits in the bigger scheme of things. If you want to skip down to the techie stuff, go ahead. We start talking about cool coding stuff in Chapter 3. However, if you need a few more

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Susan Hanley,Geoffrey Malafskyto isolate the relevant part of the linguistic speech. The last five years have seen an explosion in XML schemas and DTDs whose focus in modelling legal resources their focus was on structure. Now that the basic elements of textual descriptiveness are well formalized, we can use this knowledge to pr

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Tracking the Role and Evolution of Commercial Knowledge Management Softwareerences between these products and their role(s) in supporting various knowledge processes. This paper presents several frameworks to categorise, better appreciate the power of these tools, and relate them to common types of KM applications. These frameworks are based on the origin, characteristics,

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Technologies for Knowledge Assimilationtion will not be able to take action on that knowledge or actualize all of its potential value. As a result, unless knowledge is assimilated it will have limited use and impact on an organization. Accordingly, organizations are concerned with how to facilitate assimilation. This chapter provides an

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Knowledge Processes and Meta Processes in Ontology-Based Knowledge Managementging knowledge contents instead by identifying knowledge items at various levels of formality. This is done by providing various types of meta data that are tied to ontologies for conceptual interlinkage. Knowledge items are embedded into knowledge processes, which are supported by a suite of ontolo

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Knowledge Searching and Servicesfective, the KM system needs to make Knowledge Assets (KA) easy to find and retrieve. The users need to be able to intuitively access stored knowledge and connect to experts. Searching and locating is the process that makes this discovery of information possible. In this chapter we outline strategie