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Preface for the Third Edition - Read

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374 B. Concepts and Theories<br />

Knowledge management systems might also be viewed as important organizational<br />

assets that provide core competencies <strong>for</strong> <strong>the</strong> organization. Especially highly<br />

knowledge-intensive organizations might view <strong>the</strong> systematic handling of knowledge<br />

in general and <strong>the</strong>ir ICT systems supporting KM in particular as <strong>the</strong>ir core<br />

competence and fear that <strong>the</strong>y might loose a strategic advantage if <strong>the</strong>y implement<br />

a standard software solution available on <strong>the</strong> market.<br />

Most organizations that actually have implemented KMS solutions supposedly<br />

have combined several tools and implemented additional functions on <strong>the</strong>ir own<br />

ra<strong>the</strong>r than simply buying specialized KMS software on <strong>the</strong> market. This leads to<br />

<strong>the</strong> following hypo<strong>the</strong>sis:<br />

Hypo<strong>the</strong>sis 20: The majority of organizations apply organization-specific KMS<br />

developments or a combination of organization-specific developments<br />

and KMS tools ra<strong>the</strong>r than just KMS available on <strong>the</strong> market.<br />

7.7 Semantic integration<br />

Data and knowledge elements in <strong>the</strong> data and knowledge source layer typically are<br />

scattered across a variety of application systems, e.g., collaboration systems, content<br />

management systems, document management systems, file systems and o<strong>the</strong>r<br />

enterprise systems. Integration of data has been a concern <strong>for</strong> many years. Relational<br />

data base management has unified <strong>the</strong> way (transactional) data is handled in<br />

organizations. The organization of structured, transactional data has been wellunderstood<br />

<strong>for</strong> years. However, <strong>the</strong> amount of semi-structured and unstructured<br />

data, such as (text) documents, messages, images, media files or Web content has<br />

grown substantially and needs to be integrated as well. The integration of <strong>the</strong>se<br />

data sources requires o<strong>the</strong>r approaches. In addition to data integration, semantic<br />

integration provides standards and technologies to integrate knowledge elements<br />

from different systems on <strong>the</strong> conceptual level. Thus, it is not data or Web<br />

resources alone that are brokered from system to system, but meta-data about its<br />

semantics, its relationships, “meaning” and context. Many of <strong>the</strong>se standards and<br />

technologies build on XML.<br />

This section addresses <strong>the</strong> core integration layer of a KMS 575 that provides<br />

access to <strong>the</strong> heterogeneous data and knowledge sources of an organization in a<br />

semantically integrated way, so that knowledge services can be built on top. The<br />

integration layer consists on <strong>the</strong> one hand of function-oriented integration services<br />

(function and process integration) and on <strong>the</strong> o<strong>the</strong>r hand of data-oriented integration<br />

services (data, user and semantic integration). Data-oriented integration services<br />

are <strong>the</strong> focus of this section. The electronic resources mainly used in knowledge-intensive<br />

processes in organizations are semi-structured documents which<br />

575. See sections 7.4.1 - “Overview” on page 319 and 7.4.2 - “Infrastructure and integration<br />

services” on page 322.

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