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Semantics happen: knowledge building in spatial hypertext
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Source Conference on Hypertext and Hypermedia archive
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia table of contents
College Park, Maryland, USA
SESSION: Spatial Hypertext table of contents
Pages: 25 - 34  
Year of Publication: 2002
ISBN:1-58113-477-0
Authors
Frank Shipman  Texas A&M University, College Station, TX
J. Michael Moore  Texas A&M University, College Station, TX
Preetam Maloor  Texas A&M University, College Station, TX
Haowei Hsieh  Texas A&M University, College Station, TX
Raghu Akkapeddi  Texas A&M University, College Station, TX
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 54,   Citation Count: 13
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ABSTRACT

Hypertext represents ideas through chunks of text or other media interconnected by relations, typically navigational links. The similarity to knowledge representations such as frames and semantic nets has led to much effort in using hypertext systems for knowledge representation and extending hypertext systems to make them able to express more. This work has met with limited success due to difficulties including the tacit and situated nature of much knowledge. Instead of viewing knowledge expression as an all at once event, we view it as a constructive process, i.e. knowledge building. The Visual Knowledge Builder (VKB) lets users express content via visual or textual means and later formalize that content in the form of attributes, values, types, and relations. VKB proactively supports this process through a set of suggestion agents whose interaction with the user is mediated by the suggestion manager. Preliminary evaluation of the suggestion manager and suggestion agents yields positive results but further confirms that there is no "silver bullet" for knowledge engineering -- semantic expression is most likely to happen during, and is driven by, task performance.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  13

Collaborative Colleagues:
Frank Shipman: colleagues
J. Michael Moore: colleagues
Preetam Maloor: colleagues
Haowei Hsieh: colleagues
Raghu Akkapeddi: colleagues