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This work focuses on the construction of an automatic ontology tree which is capable of dynamically updating information for efficient management of up-to-date information in the domain of mobile phones. The proposed system takes the URL of the most relevant website as input. It acquires information from web pages that are related to the domain. This information is acquired from web pages using pattern matching and jSoup parsing technique, and the ontology tree is constructed automatically without manual labour as in a manual or semi-automatic ontology. To make sure that the ontology tree is…mehr

Produktbeschreibung
This work focuses on the construction of an automatic ontology tree which is capable of dynamically updating information for efficient management of up-to-date information in the domain of mobile phones. The proposed system takes the URL of the most relevant website as input. It acquires information from web pages that are related to the domain. This information is acquired from web pages using pattern matching and jSoup parsing technique, and the ontology tree is constructed automatically without manual labour as in a manual or semi-automatic ontology. To make sure that the ontology tree is up to date, periodic comparison of the values are made with information available over the internet, outdated information is pruned and updates are merged into the ontology tree dynamically. The constructed ontology tree can be posted with domain-related queries and the ontology tree provides the most relevant result for the query. The proposed system is more suited for domains which make frequent updates because it takes special care to dynamically monitor changes on the web and perform updates on par with it.
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Autorenporträt
Selvarajan Saraswathi is an Associate professor, in the Department of Information Technology, Pondicherry Engineering College, Pondicherry, India. She completed her PhD, in the area of speech recognition for Tamil language, at Anna University, Chennai. Her areas of interest include speech processing and Natural Language processing.