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結合本體論與案例推理之合理使用推薦 / Ontology-supported case-based reasoning for a fair use recommendation

網路的發達使得數位內容的流通更加的便利,數位內容擁有者為了避免資料被任意散播,而採用DRM(Digital Rights Management)系統來保護自身的權利。然而DRM系統是採用限制的方式來控管資料的使用,並沒有考量到合理使用的設計,其中主要的原因在於合理使用的規範難以設計且用電腦落實,時常會有一些情況需視個案而定。
本研究希望透過結合本體論推論與案例式比對的來解決合理使用規範難以制定的問題,利用本體論與規則語言進行推論做合理使用判斷,當本體論與規則語言無法判斷時再進行案例式比對,經由案例庫中的合理使用案例,我們可以明確的給予使用者在對數位內容操作上是否為合理使用的依歸,若沒有相符的案例,依舊可以給予使用者一個迫近預期的合理使用建議。 / Thanks to the development of network, it is much more convenient to spread digital contents; nevertheless, digital content owners can only use DRM (Digital Rights Management) system to protect their personal data from unapproved spreading. However, the fair use design is barely taken into consideration in the DRM system since it only uses limit principles to control data-spreading. The main reason is that fair use policy is not only hard to design but also hard to be universally practiced on computers. Furthermore, there are always rooms for fair use cases beyond a general model description.
This research aims to combine the advantages of ontology reasoning and case-based reasoning (CBR) to solve the problem of defining and enforcing fair use policy. Applying ontology and the rule language is the first approach to infer fair use decision; following is the CBR. This means that if ontology is not able to infer a fair use through its enforceable policy, then we apply CBR technique by compared with previous fair use cases established in our case base. Therefore, we can always derive a fair use or not fair use decision. Otherwise, we propose a recommendation for how to achieve a fair use or avoid not a fair use.

Identiferoai:union.ndltd.org:CHENGCHI/G0987530331
Creators楊協達, Yang, Xie Da
Publisher國立政治大學
Source SetsNational Chengchi University Libraries
Language中文
Detected LanguageEnglish
Typetext
RightsCopyright © nccu library on behalf of the copyright holders

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