The epistemology of intelligent semantic web systems /
The Semantic Web is a young discipline, even if only in comparison to other areas of computer science. Nonetheless, it already exhibits an interesting history and evolution. This book is a reflection on this evolution, aiming to take a snapshot of where we are at this specific point in time, and als...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2016.
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| Series: | Synthesis digital library of engineering and computer science.
Synthesis lectures on the semantic web, theory and technology ; #14. |
| Subjects: | |
| Online Access: | Connect to this title online |
Table of Contents:
- 1. Characterizing the semantic web
- 1.1 It is a stack after all!
- 1.2 The web as a layer on top of the internet
- 1.3 Linked data as a layer on top of the web
- 1.4 The semantic web as a layer on top of linked data.
- 2. Anatomy of an intelligent semantic web system
- 2.1 Knowledge-based systems
- 2.2 Interacting with knowledge in knowledge-based systems
- 2.3 Interacting with the semantic web as a knowledge base
- 2.4 Intelligent semantic web systems as views over the semantic web
- 2.5 Components of an intelligent semantic web system
- 2.5.1 Discovery
- 2.5.2 Selection
- 2.5.3 Integration
- 2.5.4 Curation
- 2.6 Conclusion.
- 3. Exemplar intelligent semantics web systems
- 3.1 Search and recommendation
- 3.1.1 Google knowledge graph
- 3.1.2 Seevl/dbrec
- 3.1.3 DiscOU
- 3.2 Question answering
- 3.2.1 IBM Watson
- 3.2.2 PowerAqua
- 3.3 Data analysis and sense-making
- 3.3.1 Garlik data patrol
- 3.3.2 Rexplore
- 3.4 Conclusion.
- 4. The challenges that need to be addressed to realize ubiquitous intelligent semantic web systems
- 4.1 Technological challenges: scale, robustness, and distribution
- 4.2 Non-technological challenges: the human in the loop
- 4.2.1 Quality
- 4.2.2 Policies and rights
- 4.2.3 Privacy
- 4.2.4 Interaction
- 4.3 Conclusion
- References
- Authors' biographies.