Domain specific commonsense relation extraction from bag of concepts metadata
Author: 
Jiyi LiAuthors Info & Claims
Jiyi LiAuthors Info & ClaimsArticle No.: 96, Pages 1 - 4
Abstract
Existing semantic knowledge bases such as WordNet and Yago contain the information of relations between entities. They do not hold the information about domain specific commonsense relations between concepts like "horse" and "farm" which intuitively have close relations on semantics in the domains of image description. Metadata which is used to describe data is widespread in the data collections of various domains and can be useful resources for relation extraction. However, keywords and tags which are important form of metadata are only list of user generated words. They do not contain syntactic information which many existing works use to extract relations. In this paper we propose an approach to collect commonsense relations for specific domains by mining knowledge of global structure and internal association in the bag of concepts from metadata of data collections. We extract commonsense relations of concepts from social tags of image datasets to show the efficiency of our solution.
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Index Terms
- Domain specific commonsense relation extraction from bag of concepts metadata
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Published In
January 2015
674 pages
ISBN:9781450333771
DOI:10.1145/2701126
- Conference Chairs:
- Dongsoo S. Kim,
- Sang-wook Kim,
- General Chairs:
- Suk-Han Lee,
- Lajos Hanzo,
- Roslan Ismail
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Published: 08 January 2015
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IMCOM '15
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IMCOM '15: The 9th International Conference on Ubiquitous Information Management and Communication
January 8 - 10, 2015
Bali, Indonesia
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