Witold Abramowicz Knowledge-Based Information Retrieval and Filtering from the Web 9781441953766

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Автор: Witold Abramowicz
Название: Knowledge-Based Information Retrieval and Filtering from the Web
ISBN: 9781441953766
Издательство: Springer
Классификация:

Электронная торговля: деловые аспекты

Хранилище данных

Сертификация компьютеров

Искусственный интеллект

ISBN-10: 1441953760
Обложка/Формат: Paperback
Страницы: 303
Вес: 0.45 кг.
Дата издания: 06.12.2010
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 17
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

In todays business arena information is one of the most important resources possessed by enterprises. In order to support proper information flow, businesses deploy transactional systems, build decision support systems or launch management information systems. Unfortunately, the majority of information systems do not take advantage of recent developments in knowledge management, thus exposing companies to the risk of missing important information, or what is even worse, leading them to misinterpret information.

Knowledge-Based Information Retrieval and Filtering from the Web contains fifteen chapters, contributed by leading international researchers, addressing the matter of information retrieval, filtering and management of the information on the Internet. The research presented in these chapters deals with the need to find proper solutions for the description of the information found on the Internet, the description of the information consumers need, the algorithms for retrieving documents (and indirectly, the information embedded in them), and the presentation of the information found. The chapters include:
-Ontological representation of knowledge on the WWW;
-Information extraction;
-Information retrieval and administration of distributed documents;
-Hard and soft modeling based knowledge capture;
-Summarization of texts found on the WWW;
-User profiles and personalization for web-based information retrieval system;
-Information retrieval under constricted bandwidth;
-Multilingual WWW;
-Generic hierarchical classification using the single-link clustering;
-Clustering of documents on the basis of text fuzzy similarity;
-Intelligent agents for document categorization and adaptive filtering;
-Multimedia retrieval and data mining for E-commerce and E-business;
-A Web-based approach to competitive intelligence;
-Learning ontologies for domain-specific information retrieval;
-An open, decentralized architecture for searching for, and publishing information in distributed systems.

Knowledge-Based Information Retrieval and Filtering from the Web, Witold Abramowicz