Call for Book Chapters
Full Chapter deadline:May 20, 2009:
Data Management in Semantic Web
Publisher: Nova Science Publishers, Inc.
Volume Editors: Hai Jin, Zehua Lv
http://grid.hust.edu.cn/
Book Objective & Mission
Data management or information management is a very important topic in every aspects of society. Traditional data management mainly focuses on information processing which generally only involves with data of a single organization. In the systems, data are unified according to same schema and there exists an agreement between the interacting units as to the correct mapping between these concepts. Nowadays, data management systems have to handle a variety of data sources, from proprietary ones to data publicly available. Grasping relevant information and exchanging information has become an essential challenge for data management. In a word, information sharing is now primary goal of data management.
Information sharing is not a new concern, and some solutions based on the syntactic functionality provided by exchange standards or standard formatting were proposed. However, now information has to be sharable in an open environment, where interacting units do not necessarily share a common understanding of the world. Lack of common background generates the need for explicit guidance in understanding the exact meaning of the data, i.e., its semantics. This makes semantic data management emerge strongly which takes the issue far beyond information sharing based on exchange standards or standard formatting. The aim of semantic data management is to make content easier for machines to find, access and process by expressing data and meaning in standard machine-readable format and supporting decentralized definition and management.
Hence, the objective of this book is to explore the technology and application of semantic data management by bringing together various research studies, presumably in different subfields.
Topics include, but are not limited to:
- Ontology concepts;
- Description logic;
- Semantic web;
- Semantic data representation;
- Semantic data clustering;
- Semantic data extraction: metadata extraction, entity identify etc;
- Semantic data storage;
- Semantic Query;
- Semantic search, evaluation and ranking;
- Semantics for enterprise information management (EIM);
- Visual techniques and application for the semantic data;
- Semantic service oriented architectures (SOA);
- Technology for visualizing semantic data;
- Introduce of some systems (SemreX, Bibster, Citebase, Google Scholar, Citeseer etc.);
- Others.
Important Deadlines
Researchers and practitioners are kindly invited to send an email to book.dmsw@gmail.com, containing a preliminary title and a 3-6 page manuscript proposal clearly explaining the mission and concerns of the proposed chapter. We strongly encourage other topics that have not been listed in our suggested list, particularly if the topic is related to the research area in which you have expertise. Upon acceptance of your proposal, you should prepare your chapter of 8,000-10,000 words and 7-10 related terms and their appropriate definitions. Guidelines for preparing your paper and terms and definitions will be sent to you upon acceptance of your proposal. All chapter proposals will be peer reviewed. And all submitted full chapters will be reviewed by at least three reviewers on a double-blind review basis. Important deadlines are:
Publication
This book is published by Nova Science Publishers, Inc. More information regarding the publisher can be seen in www.novapublishers.com
Submission Guidelines
Careful preparation of the manuscripts will help keep production time short and ensure satisfactory appearance of the finished book. Please prepare the manuscript as follows:
form and style for manuscripts
Book Editors
Hai Jin, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
Zehua Lv, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China, book.dmsw@gmail.com