Knowledge Based Information Retrieval And Filtering From The Web
Download Knowledge Based Information Retrieval And Filtering From The Web PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Knowledge Based Information Retrieval And Filtering From The Web book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Knowledge-Based Information Retrieval and Filtering from the Web
Author: Witold Abramowicz
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
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 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 Intelligent Information and Engineering Systems
Author: Bogdan Gabrys
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-09-29
The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK, in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.
Information Modelling and Knowledge Bases XVII
The number of abstraction levels of information, the size of databases and knowledge bases and the amount and complexity of information stored in WWW are continuously growing. The aim of this series of Information Modelling and Knowledge Bases is to bring together experts from different areas who have a common interest in understanding and solving problems of information modelling and knowledge bases, as well as applying the results of research into practice. We aim at recognizing and pursuing research on new topics in the area of information modelling and knowledge bases, but also in connected areas in philosophy and logic, cognitive science, knowledge management, linguistics, multimedia, theory and practice of semantic web, software engineering and business management. The papers in this book present a valuable advancement in the area of information modelling and knowledge bases research and practice.