| Executive summary |
vii |
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| 1. Introduction Why you need to know |
1 |
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| 2. Elements What they are |
3 |
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DEFINITIONS |
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Taxonomies: ancient wisdom |
3 |
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Knowledge maps: linking the visual and the conceptual |
6 |
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Topic maps |
7 |
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Ontologies and the semantic web: still coming next' |
7 |
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Information architecture |
10 |
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ORIGINS |
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Prehistory: an attribute of life itself? |
10 |
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Natural science: struggle between utility and controversy |
11 |
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Information science: becoming more practical |
13 |
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Content analysis: process of active questioning |
15 |
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Artificial intelligence: new wave of enthusiasm |
17 |
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DIMENSIONS |
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Shape: multifaceted beings |
18 |
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Style: less can be more |
18 |
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Width/depth: delicate balance |
20 |
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Single hierarchies: finding information |
21 |
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Multiple hierarchies: expressing knowledge |
22 |
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| 3. Importance Why now? |
27 |
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NEEDS |
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Problems: overwhelmed by info-glut and complexity |
27 |
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Opportunities: tools for thinking |
28 |
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BENEFITS |
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Access and integration: beware new restrictions |
31 |
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Understanding and trust: growing in value |
33 |
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Productivity and returns: untapped potential |
35 |
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| 4. Methods How to do them |
39 |
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DEVELOPMENT |
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Problems: making a new start |
39 |
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Solutions: creative construction |
41 |
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IMPLEMENTATION |
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Problems: interfaces to relationships |
46 |
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Solutions: beginning and ending with people |
48 |
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| 5. Technologies How they can help |
53 |
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APPROACHES |
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The role of technology |
53 |
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Algorithms |
55 |
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Applications |
57 |
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CHOICES |
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Vendors and products |
67 |
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CONSIDERATIONS |
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Vendor viability product continuity |
100 |
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Integration and interoperability |
101 |
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Performance criteria |
102 |
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Time is money |
103 |
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Standards |
103 |
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Maintenance |
106 |
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CONCLUSION |
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Automation: the verdict |
107 |
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| 6. Action What's happening |
111 |
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CURRENT |
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Adoption: first steps being taken |
111 |
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Performance: hard to evaluate |
113 |
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CASES: LEARNING FROM EXPERIENCE |
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Sainsburys |
117 |
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Reuters |
117 |
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Arup |
118 |
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NewsEdge |
119 |
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Xerox Global Services |
119 |
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Department for Work and Pensions |
120 |
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US Postal Service |
121 |
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Factiva |
122 |
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Shell |
123 |
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BBC |
124 |
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Cable & Wireless |
125 |
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Siemens |
125 |
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UK Environment Agency |
127 |
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Ford Motor Company |
127 |
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FUTURE |
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Using scenarios: deciding on the future |
128 |
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Scenario one: web without meaning |
128 |
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Scenario two: improved collaborative frameworks |
129 |
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Scenario three: the World Brain and beyond |
130 |
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| Index |
135 |
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denotes premium content | Nov 18 2008 
