𝔖 Scriptorium
✦   LIBER   ✦
πŸ“

Semantic Knowledge Representation for Information Retrieval

✍ Scribed by Winfried Gâdert, Jessica Hubrich, Matthias Nagelschmidt

Publisher
De Gruyter Saur
Year
2014
Tongue
English
Leaves
309
Edition
Digital original
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.

✦ Subjects

Semantic Web.;Information retrieval.;Knowledge representation (Information theory);Information organization.;Indexing.;World Wide Web -- Subject access.

πŸ“œ SIMILAR VOLUMES

Semantic Knowledge Representation for In
πŸ“ Semantic Knowledge Representation for Information Retrieval
✍ Winfried GΓΆdert; Jessica Hubrich; Matthias Nagelschmidt πŸ“‚ Library πŸ“… 2014 πŸ› De Gruyter Saur 🌐 English

<p>This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve methods of formal knowledge representation and reasoning. The methodologies included combine the specifics of indexing languages, Web representation languages and intersyst

Semantic Knowledge Representation for In
πŸ“ Semantic Knowledge Representation for Information Retrieval
✍ Winfried GΓΆdert; Jessica Hubrich; Matthias Nagelschmidt πŸ“‚ Library πŸ“… 2014 πŸ› De Gruyter Saur 🌐 English

<p>This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve methods of formal knowledge representation and reasoning. The methodologies included combine the specifics of indexing languages, Web representation languages and intersyst

Web Semantics for Textual and Visual Inf
πŸ“ Web Semantics for Textual and Visual Information Retrieval
✍ Aarti Singh, Nilanjan Dey, Amira S. Ashour, V. Santhi πŸ“‚ Library πŸ“… 2017 πŸ› Information Science Reference 🌐 English

Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for d104ual and Visual Information Retrieval is a pivotal reference source for the

Information Retrieval: Uncertainty and L
πŸ“ Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information
✍ Cornelis Joost van Rijsbergen (auth.), Fabio Crestani, Mounia Lalmas, Cornelis J πŸ“‚ Library πŸ“… 1998 πŸ› Springer US 🌐 English

<p>In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption t

Information Retrieval in Biomedicine: Na
πŸ“ Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration
✍ Violaine Prince, Mathieu Roche, Violaine Prince, Mathieu Roche πŸ“‚ Library πŸ“… 2009 πŸ› Medical Information Science Reference 🌐 English

Today, there is an intense interest for bio natural language processing (NLP) creating a need among researchers, academicians, and practitioners for a comprehensive publication of articles in this area. <p><b>Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration