作者：
Yang ShuYao HaiLunYou XiangRunWang YeXJAU
Dept Comp Sci & Engn NongDa East Rd Urumqi 830052 Peoples R China XJAU
Modern Educ Technol Ctr NongDa East Rd Urumqi 830052 Peoples R China
This paper proposed an automated method for ontology construction. The techniques used include machine learning and NLP (Natural Language Processing). These techniques are used to construct more accurate ontologies th...
详细信息
ISBN:
(纸本)9781467399043
This paper proposed an automated method for ontology construction. The techniques used include machine learning and NLP (Natural Language Processing). These techniques are used to construct more accurate ontologies that represented as XML format. Firstly, Naive Bayes classification algorithms is used to text categorization which determined what kind of label a document is assigned. Secondly, SVM algorithm is used to calculate document similarity to cluster similar documents that we imported. Thirdly, Luhn's summarizationalgorithm is employed in order to shorten the text and kept important essential terms for making the domain ontology. Finally, XML format is used to represent a domain ontology, which has the function of describing term's meaning and their lexical relationships. Additional The method developed by Python programming language and Natural Language Toolkit.
This paper proposed an automated method for ontology *** techniques used include machine learning and NLP(Natural Language Processing).These techniques are used to construct more accurate ontologies that represented a...
详细信息
This paper proposed an automated method for ontology *** techniques used include machine learning and NLP(Natural Language Processing).These techniques are used to construct more accurate ontologies that represented as XML ***,Naive Bayes classification algorithms is used to text categorization which determined what kind of label a document is ***,SVM algorithm is used to calculate document similarity to cluster similar documents that we ***,Luhn's summarizationalgorithm is employed in order to shorten the text and kept important essential terms for making the domain ***,XML format is used to represent a domain ontology,which has the function of describing term's meaning and their lexical *** The method developed by Python programming language and Natural Language Toolkit.
Ubiquitous user-input contents on social media and online services have generated a tremendous amount of information. Such information has great potential applications in various areas such as events detection and tex...
详细信息
ISBN:
(纸本)9781467365970
Ubiquitous user-input contents on social media and online services have generated a tremendous amount of information. Such information has great potential applications in various areas such as events detection and textsummarization. In this paper, a social media based traffic status monitoring system is established. The system is initiated by a transportation related keyword generation process. Then an association rules based iterative query expansion algorithm is applied to extract real time transportation related tweets for incident management purpose. We also confirm the feasibility of summarizing the redundant tweets to generate concise and comprehensible textual contents. Comparison results show that our query expansion method for tweets extraction outperforms the previous ones. Analysis and case studies further demonstrate the practical usefulness of our tweets summarizationalgorithm.
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