The document discusses conducting a literature survey, comprehension, and review for a thesis. It covers the process of identifying and acquiring relevant research through a focused survey. It emphasizes reading and understanding prior work and consolidating various strands of past research into a narrative that shows a gap addressed by the thesis work. Guidelines are provided for evaluating papers and reviewing the literature chapter structure.

1. Literature Survey, Comprehension & Review

2. Thesis Structure Chapter 1. Introduction

3. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review

4. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design

5. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design Chapter 4. Development

6. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design Chapter 4. Development Chapter 5. Evaluation

7. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design Chapter 4. Development Chapter 5. Evaluation Chapter 6. Conclusions and Future Work

9. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design Chapter 4. Development Chapter 5. Evaluation Chapter 6. Conclusions and Future Work

10. Thesis Structure Chapter 1. Introduction Chapter 2. Literature Review Chapter 3. Design Chapter 4. Development Chapter 5. Evaluation Chapter 6. Conclusions and Future Work

11. Introduction to Literature

15. 2D Analysis Breadth of Research Depth of Research

16. 2D Analysis Breadth of Research

17. Knowledge Management Example Knowledge Management

18. Knowledge Management Example Knowledge Management Web 2.0 Knowledge Sharing Agile Methods Elicitation Knowledge Maps Decision Support

19. Knowledge Management Example Knowledge Management Web 2.0 Knowledge Sharing Agile Methods Elicitation Knowledge Maps Decision Support Breadth of Domain

20. Knowledge Management Example Knowledge Management Web 2.0 Knowledge Sharing Agile Methods Elicitation Knowledge Maps Decision Support Breadth of Domain Indicate your awareness of the boarder field, and you know where your specific topic fits into the domain

21. Knowledge Management Example Knowledge Management Wiig Probst Davenport Nonaka Eppler Ruggles Prusak Bhatt Gurteen

22. 2D Analysis Breadth of Research Depth of Research

23. Knowledge Management Example Knowledge Management Web 2.0

24. Knowledge Management Example Knowledge Management Web 2.0 Wiig Probst Davenport Nonaka Eppler Ruggles Prusak Bhatt Gurteen

25. Knowledge Management Example Knowledge Management Web 2.0 Wiig Probst Davenport Nonaka Eppler Ruggles Prusak Bhatt Gurteen O’Reilly McAfee Miller Eggers Knorr Grossman

26. Knowledge Management Example Knowledge Management Web 2.0

27. Knowledge Management Example Knowledge Management Knowledge Sharing

28. Knowledge Management Example Knowledge Management Knowledge Maps

29. Knowledge Management Example Knowledge Management Elicitation

30. Knowledge Management Example Knowledge Management Agile Methods

31. Knowledge Management Example Knowledge Management Decision Support

32. Knowledge Management Example Knowledge Management Web 2.0 Knowledge Sharing Agile Methods Elicitation Knowledge Maps Decision Support

33. 2D Analysis Breadth of Research

34. Information Technology Example Information Technology

35. Information Technology Example Information Technology Databases Computer Architecture Networks Assistive Technology Image Synthesis Agent Development

36. Information Technology Example Information Technology Databases Computer Architecture Networks Assistive Technology Image Synthesis Agent Development Breadth of Domain

37. Information Technology Example Information Technology Databases Computer Architecture Networks Assistive Technology Image Synthesis Agent Development Breadth of Domain Indicate your awareness of the boarder field, and you know where your specific topic fits into the domain

38. Information Technology Example Information Technology Turing Knuth von Neumann Wirth Dijkstra Hoare Moore Naur Boehm

39. Information Technology Example Information Technology Databases

40. Information Technology Example Information Technology Databases Turing Knuth von Neumann Wirth Dijkstra Hoare Moore Naur Boehm

41. Information Technology Example Databases Date Codd Gray Boyce Pipes Epstein Information Technology Turing Knuth von Neumann Wirth Dijkstra Hoare Moore Naur Boehm

42. Information Technology Example Information Technology Databases

43. Information Technology Example Information Technology Image Synthesis

44. Information Technology Example Information Technology Networks

45. Information Technology Example Information Technology Agent Development

46. Information Technology Example Information Technology Comp Architecture

47. Information Technology Example Information Technology Assistive Tech

48. Information Technology Example Information Technology Databases Comp Architecture Networks Assistive Tech Image Synthesis Agent Development

52. Literature Survey, Comprehension & Review In Summary

60. Literature Survey, Comprehension & Review In Detail

61. Literature Survey

65. Searching the Web

75. synonyms acronyms polysemy single-concept principle neologisms monosemy abbreviations quasi-synonyms, or near-synonyms pseudo-synonyms, or false synonyms antonyms phraseologism hyponyms hypernyms collocation Cross- references PROBLEMS WITH USING A SEARCH ENGINE AS THE SOLE SOURCE OF INFORMATION tautonyms

83. Literature Comprehension

89. Literature Review

98. Literature Review

99. Literature Review Research Question Experiment Results For each paper consider the relationship between the Research Question, the Experiment, and the Results.