Ontology Based Document Clustering Using MapReduce
نویسندگان
چکیده
منابع مشابه
Ontology Based Document Clustering Using MapReduce
Nowadays, document clustering is considered as a data intensive task due to the dramatic, fast increase in the number of available documents. Nevertheless, the features that represent those documents are also too large. The most common method for representing documents is the vector space model, which represents document features as a bag of words and does not represent semantic relations betwe...
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Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular clustering result it is typically very hard to come up with a good explanation of why the text clusters have been constructed the way they are. In this paper, we propose a new approach for applying background knowledg...
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Clustering is an important topic to find relevant content from a document collection and it also reduces the search space. The current clustering research emphasizes the development of a more efficient clustering method without considering the domain knowledge and user’s need. In recent years the semantics of documents have been utilized in document clustering. The discussed work focuses on the...
متن کاملAn Ontology Based Model for Document Clustering
Clustering is an important topic to find relevant content from a document collection and it also reduces the search space. The current clustering research emphasizes the development of a more efficient clustering method without considering the domain knowledge and user’s need. In recent years the semantics of documents have been utilized in document clustering. The discussed work focuses on the...
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ژورنال
عنوان ژورنال: International Journal of Database Management Systems
سال: 2015
ISSN: 0975-5985,0975-5705
DOI: 10.5121/ijdms.2015.7201