Корично изображение Електронна книга

Semantic Web technologies for Enterprise 2.0 /

Основен автор: Passant, Alexandre, (Author)
Формат: Електронна книга
Език: English
Публикувано: [Amsterdam, Netherlands] : IOS Press : Akademische Verlagsgesellschaft, [2011]
Серия: Studies on the Semantic Web ; v. 009.
Предмети:
Онлайн достъп: http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=683327
Подобни документи: Print version:: Semantic Web technologies for Enterprise 2.0
Съдържание:
  • Machine generated contents note: pt. I Introduction
  • Introduction
  • Context and Scientific Motivation
  • Context of the Thesis
  • Motivations and Research Questions
  • Main Results and Contributions
  • Overall Content of the Thesis
  • Content
  • Lecture Guide
  • pt. II Contributions
  • ch. 1 Towards a Convergence Between Web 2.0 and the Semantic Web
  • Introduction
  • 1.1. The Semantic Web: Knowledge Representation and Data Interoperability on the Web
  • 1.1.1. Towards a Machine-readable Web
  • 1.1.2. Knowledge Representation for the Web with RDF(S) and OWL
  • 1.1.2.1. Identifying and Representing Resources using URIs and RDF
  • 1.1.2.2. Vocabularies and Ontologies for the Semantic Web: RDFS and OWL
  • 1.1.3. Querying RDF Data Using SPARQL
  • 1.1.4. The Semantic Web and the Web of Data
  • 1.2. Web 2.0: From Readers to Consumers
  • 1.2.1.A Collaborative Web
  • 1.2.2. Blogs, Wikis, Social Networking and Content Syndication
  • 1.2.2.1. Wikis and Personal Information Sharing
  • 1.2.2.2. Wikis and Collaborative Information Management
  • 1.2.2.3. RSS and Content Syndication
  • 1.2.3. Social Metadata: Tags and Folksonomies
  • 1.2.4. Content Sharing, Social Networking and Object-centred Sociality
  • 1.3.A Convergence Between Web 2.0 and the Semantic Web
  • 1.3.1. Summary of these Two Visions
  • 1.3.2. Web 2.0 Assets for the Semantic Web
  • 1.3.3. Semantic Web Assets for Web 2.0
  • Conclusion
  • ch. 2 SemSLATES: A Semantic Approach for Enterprise 2.0
  • Introduction
  • 2.1. Collaboration in the Enterprise: the Athena Project
  • 2.1.1. Motivations and Goals
  • 2.1.2. The Hermes Platform
  • 2.1.2.1. RSS for Information Integration and Sharing
  • 2.1.2.2. Weblogs for Content Publishing
  • 2.1.2.3. Wikis for Collaborative Knowledge Management
  • 2.1.2.4. Document Annotation and Information Retrieval
  • 2.1.3. Overall Integration of the Services
  • 2.1.4. Usage Statistics
  • 2.2. Issues of Enterprise 2.0 Ecosystems
  • 2.2.1. Information Fragmentation and Heterogeneity of Data Sources
  • 2.2.2. Knowledge Capture and Re-use
  • 2.2.3. Tags, Folksonomies and Information Retrieval
  • 2.2.3.1. Ambiguity Issues
  • 2.2.3.2. Heterogeneity Issues
  • 2.2.3.3. Lack of Organisation
  • 2.2.3.4. Clustering Approaches and their Limits
  • 2.2.4. Summary of the Different Issues
  • 2.3. SemSLATES: A Semantic Ecosystem for Enterprise 2.0
  • 2.3.1. The SemSLATES Methodology
  • 2.3.2.A Social Semantic Middleware Architecture
  • 2.3.3. Representation Models, Services and Adaptors
  • 2.3.3.1. Producing Socio-structural Metadata From Existing Services
  • 2.3.3.2. Knowledge Capture and Ontology Population
  • 2.3.3.3. Tagging and Semantic Indexing
  • 2.3.3.4. Enhancing User Experience through Additional Services using RDF Data
  • 2.3.4. Related Work and Relevance of our Approach
  • Conclusion
  • ch. 3 Ontologies for Enterprise 2.0
  • Introduction
  • 3.1. Modelling Socio-structural Metadata for Web 2.0 Services with SIOC
  • 3.1.1. Motivations
  • 3.1.2. Related Work
  • 3.1.3. The SIOC Ontology
  • 3.1.3.1. Main Classes and Properties of SIOC
  • 3.1.3.2. The SIOC Modules
  • 3.1.4. Relationships and Alignment with Existing Vocabularies
  • 3.1.4.1. DublinCore
  • 3.1.4.2. FOAF
  • 3.1.4.3. RSS 1.0
  • 3.1.4.4. SKOS
  • 3.1.5. SIOC, FOAF and Social Data Portability
  • 3.1.6. Evaluation
  • 3.2. Modelling Domain Ontologies
  • 3.2.1. Requirements
  • 3.2.2. Representing Agents Using FOAF and Extensions
  • 3.2.3. Representing Geolocation
  • 3.2.4. Designing a Lightweight Role Ontology Using SKOS
  • 3.2.4.1. Representing Agents and their Roles
  • 3.2.4.2. Hierarchies of Roles' Facets
  • 3.2.5. Overall Integration of our Domain Ontologies
  • 3.3.Combining Tags and Ontologies with MOAT
  • 3.3.1. Tags, Folksonomies and Ontologies
  • 3.3.1.1. Emergent Semantics in Tagging Systems
  • 3.3.1.2. Modelling Tags Using Semantic Web Technologies
  • 3.3.1.3. Applications Combining Tagging and Semantic Web Technologies
  • 3.3.2. Representing the Meaning of Tags with MOAT
  • 3.3.3. The MOAT Ontology
  • 3.3.4.Comparison of MOAT with Other Ontologies
  • Conclusion
  • ch. 4 Semantic Annotations and Collaborative Ontology Population
  • Introduction
  • 4.1. Semantic Annotations of Web 2.0 Content
  • 4.1.1. An Automated Approach for Generating Socio-structural Metadata
  • 4.1.2. Generating Socio-structural Metadata from Enterprise 2.0 Services
  • 4.1.2.1. From RSS and Atom to SIOC
  • 4.1.2.2. Generating SIOC Metadata from Blogs and Wikis
  • 4.1.3. Generating SIOC Data on the Web
  • 4.2. UfoWiki: A Semantic Wiki for Ontology Population
  • 4.2.1. Related Work
  • 4.2.1.1. Platypus
  • 4.2.1.2. SemPerWiki
  • 4.2.1.3. Semantic MediaWiki
  • 4.2.1.4. IkeWiki
  • 4.2.1.5. OntoWiki
  • 4.2.1.6. AceWiki
  • 4.2.2. Goals and Principles of UfoWiki
  • 4.2.3. System Architecture
  • 4.2.3.1. Ontologies
  • 4.2.3.2. User-interfaces
  • 4.2.3.3. Generating and Storing RDF Annotations
  • 4.2.4. Using Ufowiki for Collaborative Ontology Population
  • 4.2.4.1. UfoWiki in Practice
  • 4.2.4.2. Integrating External Resources
  • 4.2.5. Evaluation
  • 4.2.5.1. UfoWiki and the State of the Art in Semantic Wikis
  • 4.2.5.2. Usage Statistics
  • 4.3. From Tagging to Semantic Tagging with MOAT
  • 4.3.1. Semantic Tagging Capabilities with MOAT Applications
  • 4.3.2. Software Implementations
  • 4.3.2.1.A Public MOAT Client for Drupal
  • 4.3.2.2. Improvements for the Hermes Platform
  • 4.3.2.3. LODr: Semantic Indexing for Existing Web 2.0 Content
  • 4.3.2.4. MOAT Servers and their Communication Protocols
  • 4.3.3. Evaluation
  • 4.3.3.1. MOAT in our Enterprise 2.0 Ecosystem
  • 4.3.3.2. Initiatives using MOAT
  • Conclusion
  • ch. 5 Integrating and Using Distributed Semantic Annotations for Improving User Experience
  • Introduction
  • 5.1. Storing Semantic Annotations in Enterprise 2.0 Ecosystems
  • 5.1.1. The Need for an RDF Store
  • 5.1.2. Requirements for an RDF Store in the SemSLATES Context
  • 5.1.3.Communication Protocols
  • 5.2. Enriching UfoWiki's Features
  • 5.2.1. Enhancing Information Discovery Using Semantic Macros
  • 5.2.1.1. Principles of UfoWiki's Semantic Macros
  • 5.2.1.2. Taking Data Provenance Into Account
  • 5.2.1.3.Combining Business Data and Socio-structural Metadata
  • 5.2.2. Using Context in Semantic Macros
  • 5.2.3. Advanced User Interfaces and Semantic Mash-ups
  • 5.2.3.1. Faceted Navigation
  • 5.2.3.2. Semantic Mash-ups
  • 5.3. Enabling Interoperability Between Applications Using Semantic Annotations
  • 5.3.1. Aggregating Blog Posts in Wikis Pages
  • 5.3.2. Ontology-based Indexing of RSS Feeds
  • 5.3.3. Projecting Knowledge to Enhance the Browsing Experience
  • 5.4. Semantic Search for Enterprise 2.0
  • 5.4.1. Search and the Semantic Web
  • 5.4.2. Building an Ontology-based Semantic Search Engine
  • 5.4.3. Search Suggestions
  • 5.4.3.1. Concept and Implementation
  • 5.4.3.2. Applying Similar Principles to Web Data
  • Conclusion
  • pt. III Conclusion
  • Conclusion
  • Summary of our Contributions
  • Perspectives and Thoughts Regarding the Semantic Web
  • pt. IV Appendixes.