Добро пожаловать в клуб

Показать / Спрятать  Домой  Новости Статьи Файлы Форум Web ссылки F.A.Q. Логобург    Показать / Спрятать

       
Поиск   
Главное меню
ДомойНовостиСтатьиПостановка звуковФайлыДефектологияКнижный мирФорумСловарьРассылкаКаталог ссылокРейтинг пользователейЧаВо(FAQ)КонкурсWeb магазинШкольникамКарта сайта

Поздравляем!
Поздравляем нового Логобуржца Monita со вступлением в клуб!

Реклама

КНИЖНЫЙ МИР

Semantic Ontology Merging for Effective Information Retrieval System   Ankit Vidyarthi and Ankita Sharma

Semantic Ontology Merging for Effective Information Retrieval System

112 страниц. 2014 год.
LAP Lambert Academic Publishing
Traditional Information Retrieval systems users are not able to get semantic description of the information needed by them, so Intelligent Information Retrieval (IIR) systems are used to find out the more relevant information. Semantic web represents a technique for getting semantic information from the particular domain ontology. It involves retrieving of the data semantically through domain ontology’s based on user queries. Semantic web based Searching mechanisms which will perform search on the reformed query and display the list of matched documents. In past, various ontology merging algorithms had been anticipated based on the concept of removing overlaps. Here, a new approach of ontology merging is proposed based on the semantic analysis that deals with same domain specific ontology’s. Proposed algorithm is fully automated merging algorithm that uses the class semantics, property semantics using Wordnet. The need of ontology merging that will help to maintain ontology's and...
 
- Генерация страницы: 0.06 секунд -