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Title:
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PARTITIONING FRAMEWORK USING ONTOLOGY |
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Author(s):
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uiin Choi, WonSeok Kim, Byambasuren Temuujin |
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ISBN:
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978-989-8533-84-5 |
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Editors:
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Piet Kommers, Tomayess Issa, Theodora Issa, Pedro Isaías and Wendy Hui |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Keyword, Knowledge base, Ontology, Big Data, Document Store |
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Type:
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Reflection Paper |
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First Page:
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151 |
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Last Page:
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154 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Its a major issue that how can retrieval worthy information in big data. Because big data can be used in companys success according how to take full advantage of big data analysis. Currently, search technologies about being stored distributed and duplicated data does not need to strong consistency. In order to provide more accurate results than the current keyword-based search, a logically expressed search technique using a knowledge base is needed. However, end users are unaware of the complex, formalized queries and schemas of the knowledge base. So the search system should be able to interpret the meaning of user keywords. So, in this paper, we are going to propose a new framework using an ontology. |
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