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Book Categories |
| Ch. 1 | Knowledge management and knowledge engineering: working together | 1 |
| Ch. 2 | Knowledge mapping and knowledge acquisition | 7 |
| Ch. 3 | Knowledge taxonomy vs. knowledge ontology and representation | 15 |
| Ch. 4 | The knowledge management life cycle vs. the knowledge engineering life cycle | 21 |
| Ch. 5 | Knowledge-based systems and knowledge management | 37 |
| Ch. 6 | Intelligent agents and knowledge dissemination | 43 |
| Ch. 7 | Knowledge discovery and knowledge management | 49 |
| Ch. 8 | People and culture: lessons learned from AI to help knowledge management | 57 |
| Ch. 9 | Implementing knowledge management strategies | 63 |
| Ch. 10 | Expert systems and AI: integral parts of knowledge management | 69 |
| App. A | A knowledge management strategy for the U.S. Federal Communications Commission | 75 |
| App. B | Partial knowledge audit for the U.S. Social Security Administration | 93 |
| App. C | Modeling the intelligence analysis process for intelligent user agent development | 103 |
| App. D | Planning and scheduling in the era of satellite constellation missions: a look ahead | 113 |
| Index | 133 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Jon Sod
reviewed Knowledge Management: Learning from Knowledge Engineering on September 15, 2014 Knowledge Management: Learning from Knowledge Engineering
One of the worst books I have ever read. The majority was poorly written and was not always understandable
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Add Knowledge Management: Learning from Knowledge Engineering, Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize, Knowledge Management: Learning from Knowledge Engineering to the inventory that you are selling on WonderClubX
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Add Knowledge Management: Learning from Knowledge Engineering, Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize, Knowledge Management: Learning from Knowledge Engineering to your collection on WonderClub |
