语义网入门指南：构建知识共享的基石

需积分: 10 98 浏览量更新于2024-07-19 1 收藏 1.19MB PDF 举报

《语义网基础教程》（A Semantic Web Primer）是由Grigoris Antoniou和Frank van Harmelen共同编著的一本经典教材，旨在为学生和专业人士提供关于语义网的基础知识和深入理解。该书是许多高校在教授语义网课程时的主要参考书籍，它以清晰易懂的方式阐述了语义网的核心概念和技术。语义网是一种基于标准的、结构化的互联网，其核心理念是通过增加对数据内在含义的理解和描述，使网络上的信息更加智能和可机器理解。与传统的基于关键词的搜索引擎不同，语义网利用RDF (Resource Description Framework) 和OWL (Web Ontology Language) 等技术，使得信息之间的关系能够被机器自动解析和推理，从而提高信息检索的准确性和效率。书中首先介绍了语义网的历史背景和发展历程，强调了传统万维网信息孤岛的问题以及解决之道。然后，详细讲解了RDF的基本概念，包括资源、描述符和三元组，这些都是构建语义网的基础。接着，作者深入探讨了OWL，这是一种用于定义复杂语义模型的高级语言，可以表达更精细的数据类型和约束条件。此外，书中还涵盖了语义网的关键应用领域，如协同信息系统（Cooperative Information Systems），工作流管理（Workflow Management）等，展示了语义网如何在实际场景中提升信息集成和自动化处理的能力。这些章节不仅阐述了理论模型，还提供了实用的方法论和案例分析，帮助读者掌握如何在实践中构建和利用语义网。《语义网基础教程》还讨论了语义网的标准和框架，如SPARQL（SPARQL Protocol and RDF Query Language）查询语言，以及如何通过链接开放数据（Linked Open Data）推动知识共享和全球化信息发现。同时，书中强调了隐私和安全问题，提醒用户在语义网发展的同时，也要关注数据的保护和合规性。《A Semantic Web Primer》是一本全面且实用的入门指南，它不仅适合初学者系统地学习语义网，也适合已经在IT领域工作的专业人员更新他们的知识库，以便更好地理解和利用这一新兴的技术趋势。通过阅读这本书，读者将获得构建语义网应用所需的基础理论和实践经验，为未来的知识管理和信息检索带来革命性的变革。

Series Foreword

The traditional view of information systems as tailor-made, cost-intensive

database applications is changing rapidly. The change is fueled partly by

a maturing software industry, which is making greater use of off-the-shelf

generic components and standard software solutions, and partly by the on-

slaught of the information revolution. In turn, this change has resulted in a

new set of demands for information services that are homogeneous in their

presentation and interaction patterns, open in their software architecture,

and global in their scope. The demands have come mostly from applica-

tion domains such as e-commerce and banking, manufacturing (including

the software industry itself), training, education, and environmental man-

agement, to mention just a few.

Future information systems will have to support smooth interaction with

a large variety of independent multi-vendor data sources and legacy applica-

tions, running on heterogeneous platforms and distributed information net-

works. Metadata will play a crucial role in describing the contents of such

data sources and in facilitating their integration.

As well, a greater variety of community-oriented interaction patterns will

have to be supported by next-generation information systems. Such inter-

actions may involve navigation, querying and retrieval, and will have to be

combined with personalized notiﬁcation, annotation, and proﬁling mecha-

nisms. Such interactions will also have to be intelligently interfaced with

application software, and will need to be dynamically integrated into cus-

tomized and highly connected cooperative environments. Moreover, the

massive investments in information resources, by governments and busi-

nesses alike, call for speciﬁc measures that ensure security, privacy and ac-

curacy of their contents.

All these are challenges for the next generation of information systems.

We call such systems Cooperative Information Systems, and they are the focus

of this series.

TLFeBOOK

xvi Series Foreword

In lay terms, cooperative information systems are servicing a diverse

mix of demands characterized by content—community—commerce. These de-

mands are originating in current trends for off-the-shelf software solutions,

such as enterprise resource planning and e-commerce systems.

A major challenge in building cooperative information systems is to de-

velop technologies that permit continuous enhancement and evolution of

current massive investments in information resources and systems. Such

technologies must offer an appropriate infrastructure that supports not only

development, but also evolution of software.

Early research results on cooperative information systems are becoming

the core technology for community-oriented information portals or gate-

ways. An information gateway provides a “one-stop-shopping” place for

a wide range of information resources and services, thereby creating a loyal

user community.

The research advances that will lead to cooperative information systems

will not come from any single research area within the ﬁeld of Information

Technology. Database and knowledge-based systems, distributed systems,

groupware, and graphical user interfaces have all matured as technologies.

While further enhancements for individual technologies are desirable, the

greatest leverage for technological advancement is expected to come from

their evolution into a seamless technology for building and managing coop-

erative information systems.

The MIT Press Cooperative Information Systems series will cover this area

through textbooks, and research editions intended for the researcher and the

professional who wishes to remain up-to-date on current developments and

future trends.

The series will include three types of books:

•Textbooks or resource books intended for upper level undergraduate or

graduate level courses;

• Research monographs, which collect and summarize research results and

development experiences over a number of years;

• Edited volumes, including collections of papers on a particular topic.

Data in a data source are useful because they model some part of the real

world, its subject matter (or application,ordomain of discourse). The problem

of data semantics is establishing and maintaining the correspondence between

a data source, hereafter a model, and its intended subject matter. The model

may be a database storing data about employees in a company, a database

TLFeBOOK

xvii

schema describing parts, projects and suppliers, a Web site presenting infor-

mation about a university, or a plain text ﬁle describing the battle of Wa-

terloo. The problem has been with us since the development of the ﬁrst

databases. However, the problem remained under control as long as the op-

erational environment of a database remained closed and relatively stable.

In such a setting, the meaning of the data was factored out from the database

proper and entrusted to the small group of regular users and application

programs.

The advent of the Web has changed all that. Databases today are made

available, in some form, on the Web where users, application programs, and

uses are open-ended and ever changing. In such a setting, the semantics of

the data has to be made available along with the data. For human users, this

is done through an appropriate choice of presentation format. For applica-

tion programs, however, this semantics has to be provided in a formal and

machine processable form. Hence the call for the Semantic Web.

Not surprisingly, this call by Tim Berners-Lee has received tremendous at-

tention by researchers and practitioners alike. There is now an International

Semantic Web Conference series,

aWeb Semantic Journal published by Else-

vier,

as well as industrial committees that are looking at the ﬁrst generation

of standards for the Semantic Web.

The current book constitutes a timely publication, given the fast-moving

nature of Semantic Web concepts, technologies, and standards. The book of-

fers a gentle introduction to Semantic Web concepts, including XML, DTDs,

and XML schemas, RDF and RDFS, OWL, Logic, and Inference. Throughout,

the book includes examples and applications to illustrate the use of concepts.

We are pleased to include this book on the Semantic Web in the series on

Cooperative Information Systems. We hope that readers will ﬁnd it interest-

ing, insightful, and useful.

John Mylopoulos Michael Papazoglou

jm@cs.toronto.edu M.P.Papazoglou@kub.nl

Dept. of Computer Science INFOLAB

University of Toronto P.O. Box 90153

Toronto, Ontario LE Tilburg

Canada The Netherlands

1. Tim Berners-Lee and Mark Fischetti, Weaving the Web: The Original Design and Ultimate Destiny

of the World Wide Web by Its Inventor (San Francisco: HarperCollins, 1999).

2. <http://iswc.semanticweb.org>

3. <http://www.semanticwebjournal.org>

TLFeBOOK

剩余258页未读，继续阅读

wineever

粉丝: 0
资源: 3

语义网入门指南：构建知识共享的基石

A Semantic Web Primer (Second edition)

Semantic Web Primer

A semantic web primer

web3.0与semantic web编程下载

Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web讲了什么

semantic map

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

Visual-Semantic Embedding

Dynamic semantic segmentation

Generate a semantic HTML and Tailwind CSS "Contact Support" form consisting of the user's name, email, issue type, and message. The form elements should be stacked vertically and placed inside a card.

最新资源