Difference between revisions of "Semantic Metadata Generation:A Method based on Wikipedia"
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| − | '''Semantic Metadata Generation:A Method based on Wikipedia''' - scientific work related to Wikipedia quality published in 2009, written by Zhao Jun. | + | '''Semantic Metadata Generation:A Method based on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Zhao Jun]]. |
== Overview == | == Overview == | ||
| − | Semantic metadata,which provides semantic information about data,plays an important role in document management,fusion and information search.The automatic metadata generation technique,which subsumes the acquisition of target semantic metadata and the collection of training corpus as two fundamental problems,becomes more demanding in the data explosion time.The first problem involves expert knowledge and the second problem needs lots of manual work,and accordingly,they are critical to a successful system.In this paper,we resolve the two problems based on Wikipedia: extracting the target metadata by analyzing the table-of-contents of Wikipedia's entries and building the training corpus by analyzing the Wikipedia entry's structure and assigning its true semantic metadata.The experiment results demonstrate that this approach can resolve the two issues in automatic metadata generation effectively. | + | Semantic metadata,which provides [[semantic information]] about data,plays an important role in document management,fusion and information search.The automatic metadata generation technique,which subsumes the acquisition of target semantic metadata and the collection of training corpus as two fundamental problems,becomes more demanding in the data explosion time.The first problem involves expert knowledge and the second problem needs lots of manual work,and accordingly,they are critical to a successful system.In this paper,we resolve the two problems based on [[Wikipedia]]: extracting the target metadata by analyzing the table-of-contents of Wikipedia's entries and building the training corpus by analyzing the Wikipedia entry's structure and assigning its true semantic metadata.The experiment results demonstrate that this approach can resolve the two issues in automatic metadata generation effectively. |
Revision as of 07:51, 6 August 2019
Semantic Metadata Generation:A Method based on Wikipedia - scientific work related to Wikipedia quality published in 2009, written by Zhao Jun.
Overview
Semantic metadata,which provides semantic information about data,plays an important role in document management,fusion and information search.The automatic metadata generation technique,which subsumes the acquisition of target semantic metadata and the collection of training corpus as two fundamental problems,becomes more demanding in the data explosion time.The first problem involves expert knowledge and the second problem needs lots of manual work,and accordingly,they are critical to a successful system.In this paper,we resolve the two problems based on Wikipedia: extracting the target metadata by analyzing the table-of-contents of Wikipedia's entries and building the training corpus by analyzing the Wikipedia entry's structure and assigning its true semantic metadata.The experiment results demonstrate that this approach can resolve the two issues in automatic metadata generation effectively.
