Erscheinungsdatum: 11.02.2008, Medium: Buch, Einband: Gebunden, Titel: Ontologies-Based Business Integration, Auflage: 2008, Autor: Janina, Fengel // Paulheim, Heiko // Rebstock, Michael, Verlag: Springer Berlin Heidelberg // Springer Berlin, Sprache: Englisch, Schlagworte: E-Business // Electronic Commerce // E-Commerce // Electronic Marketing // E-Venture // Internet // Marketing // Net Economy // Ontologie // Semantic Web // World Wide Web, Rubrik: Wirtschaft // Allgemeines, Lexika, Geschichte, Seiten: 284, Informationen: HC runder Rücken kaschiert, Gewicht: 550 gr, Verkäufer: averdo
Data integration is the process of facilitating the access to data residing at multiple heterogeneous data sources, and providing users and applications with a unified view of these data. Data integration is crucial in enterprises that store and exchange data in disparate and incompatible formats, and is one of the big challenges of the World Wide Web, where millions of heterogeneous data sources are available. This book contributes to different aspects of the design of modern data integration systems in the context of the Web. On one hand, the work contributes to the Semantic Integration research trend, which refers to the problem of reconciling data from autonomous sources using ontologies and other semantic-based tools. The work suggests a novel solution to XML-RDF semantic integration and also contributes to the problem of Ontology Alignment, defining a rigorous and scalable semantic similarity measure for RDF labelled directed graphs. On the other hand, the book suggests a novel solution to the problem of translating a user query (targeting a logical mediated schema), into queries over a set of autonomous data sources provided with restricted web interfaces.
World is going wide, accurate, quick and enhance, new topics are emerging, one of them is semantic web and services. Discussion required a way about reasoning of conventional web services with contrasts, having the server end of a client-server system for machine-to-machine interaction via the World Wide Web. According to knowledge based activities semantic services are component of the semantic web because they use mark-up which makes data machine-readable in a detailed and sophisticated way. Our keen focusing areas are semantic metadata and ontologies for Big Data, integration and interplay of deductive (semantic) and statistical methods, scalability of Semantic Web methods and tools, and semantic approaches, web and schema data extraction and integration, ontology based Information extraction, web ontology language.
The Semantic Web has brought the way to machine process able data by giving data meaning or semantics. The Semantic Web can be considered one big knowledge base where all the applications would share and exchange knowledge. Ontologies have been widely accepted as the primary method of representing knowledge in the Semantic Web. Personalization systems are gaining more popularity in these last years due to the massive amount of information on the World Wide Web. Personalization aims at providing the users with what they need, in other words tailor information presented based on the user requirements.Existing personalization system does not take into account the concept of content management, which is a prerequisite to have updated contents on the web. This book,therefore provides a new architecture for personalization system that incorporates content management in it.The analysis should help shed some light on this new system and especially useful to professionals in the field of internet and web technology.
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies, and is endorsed by the World Wide Web Consortium. This family of languages is based on two (largely, but not entirely, compatible) semantics: OWL DL and OWL Lite semantics are based on Description Logic, which have attractive and well-understood computational properties, while OWL Full uses a semantic model intended to provide compatibility with RDF Schema. OWL ontologies are most commonly serialized using RDF/XML syntax. OWL is considered one of the fundamental technologies underpinning the Semantic Web, and has attracted both academic and commercial interest.
A disaster is the impact of natural or man-made hazard and all the disasters require mitigation measures. Current Disaster Management Systems are dependent upon manual data entry, analysis, and decision making. Semantic Web technologies have actively been used for the development of intelligent and self governed web based system. These systems include the use of XML, RDF and ontologies for formulation and semantic interpretation of data. The ontology defines rules essential to search the data from unstructured world i.e., World Wide Web, which are later used for information extraction and reasoning purpose. Various disasters related ontologies have been considered but none conceptualizes the domain completely. Most of the ontologies are designed for the specific purpose in the domain like the disaster plans, the task ontology for the emergency operation center. We have developed disaster ontology which almost covers every important aspect of disasters like disaster type, disaster date, losses including human loss as well as infrastructure loss, services, service providers, disaster location, and relief items etc.
E-government faces huge challenges in achieving interoperability and integration, taking into account differences in laws, regulations, services, administrative processes and languages across regions and countries. On the other hand, issues like service, data and process integration have been researched by the Semantic Web community for several years now, and in the last two to three years we have witnessed the first applications of semantic technologies in real, operational e-government systems in both Europe and the US which address exactly these challenges.With this book, the editors present the latest research results on how to use semantic technologies in order to improve or even revolutionize the use of ICT in public administration systems. The contributions are organized into three parts: architectures and process integration, ontologies and interoperability, and portals and user interactions. They give a broad overview of how semantic technologies have been applied in different e-government projects funded from the European program for ICT Research and Development, and they cover a wide spectrum of semantic technologies such as development of domain and service ontologies, semantic enhancements of business process models, semantic Service-Oriented Architectures (SOAs) based on Semantic Web Services (SWS) frameworks, and ontology-based knowledge management.In this volume, researchers of Semantic Web technologies will find a wealth of challenging real-world scenarios to stimulate new fields of research, while developers of e-government systems as well as other stakeholders in public administration will appreciate the detailed presentations and discussions of numerous applications in areas such as e-government portals, personalization of Web-based public services, or integration and orchestration of public administration processes.
With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management in large and distributed organizations. Ontologies are formal theories supporting knowledge sharing and reuse. They can be used to explicitly represent semantics of semi-structured information. These enable sophisticated automatic support for acquiring, maintaining and accessing information. Methodology and tools are developed for intelligent access to large volumes of semi-structured and textual information sources in intra- and extra-, and internet-based environments to employ the full power of ontologies in supporting knowledge management from the information client perspective and the information provider. The aim of the book is to support efficient and effective knowledge management and focuses on weakly-structured online information sources. It is aimed primarily at researchers in the area of knowledge management and information retrieval and will also be a useful reference for students in computer science at the postgraduate level and for business managers who are aiming to increase the corporations' information infrastructure. The Semantic Web is a very important initiative affecting the future of the WWW that is currently generating huge interest. The book covers several highly significant contributions to the semantic web research effort, including a new language for defining ontologies, several novel software tools and a coherent methodology for the application of the tools for business advantage. It also provides 3 case studies which give examples of the real benefits to be derived from the adoption of semantic-web based ontologies in 'real world' situations. As such, the book is an excellent mixture of theory, tools and applications in an important area of WWW research. * Provides guidelines for introducing knowledge management concepts and tools into enterprises, to help knowledge providers present their knowledge efficiently and effectively. * Introduces an intelligent search tool that supports users in accessing information and a tool environment for maintenance, conversion and acquisition of information sources. * Discusses three large case studies which will help to develop the technology according to the actual needs of large and or virtual organisations and will provide a testbed for evaluating tools and methods. The book is aimed at people with at least a good understanding of existing WWW technology and some level of technical understanding of the underpinning technologies (XML/RDF). It will be of interest to graduate students, academic and industrial researchers in the field, and the many industrial personnel who are tracking WWW technology developments in order to understand the business implications. It could also be used to support undergraduate courses in the area but is not itself an introductory text.
This volume contains the tutorial papers of the Summer School 'Reasoning Web,'July25-29,2005. TheSchoolwashostedbythe University of Malta and was organized by the Network of Excellence REWERSE 'Reasoning on the Web with Rules and Semantics' , funded by the EU Commission and by the Swiss Federal O?ce for Edu- tion and Science within the 6th Framework Programme under the project ref- ence number 506779. The objective of the school was to provide an introduction into methods and issues of the Semantic Web, a major endeavor in current Web research, where the World Wide Web Consortium W3C plays an important role. The main idea of the Semantic Web is to enrich Web data with meta-data carrying a 'meaning' of the data and allowing Web-based systems to reason about data (and meta-data). The meta-data used in Semantic Web applications is usually linked to a conceptualization of the application domain shared by di?erent applications. Such a conceptualization is called an ontology and sp- i?es classes of objects and relations between them. Ontologies are de?ned by ontology languages, based on logic and supporting formal reasoning. Just as the current Web is inherently heterogeneous in data formats and data semantics, the Semantic Web will be inherently heterogeneous in its reasoning forms. - deed, any single form of reasoning turns out to be insu?cient in the Semantic Web.