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Semantic Web and Web Mining: Networking with Industry and Academia

Explore the latest trends in Semantic Web and Web Mining technologies, including search engine design, web services, and semantic data integration. Learn about tools, methodologies, and challenges in these fields.

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Semantic Web and Web Mining: Networking with Industry and Academia

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  1. Semantic Web and Web Mining:Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006

  2. WWW Related Fields • Browsers and User Interfaces: Web user interfaces will need to become richer and more interactive. • Pervasive Web and Mobility: In near future most of the devices accessing the Web will be mobile. • Search: Search tools help users to explore and access complex and unstructured information on the Web (keyword and link-based search paradigms).

  3. WWW Related Fields • Security and Privacy: • Web Engineering: Systematic approaches are needed in order to develop high-quality Web-based systems and applications. • XML and Web Data:XML has become the language of the Web and XML technologies have become the basis for many Web-based applications. XML is widely used for data exchange and to publish data from database systems to the Web by providing input to content generators for Web pages.

  4. WWW Related Fields • Semantic Web:.The main idea of the Semantic Web is to extend the current human-readable web by encoding the semantics of web-resources in a machine-interpretable form. This is needed in order to be able to automatically integrate data from different sources, to perform actions on behalf of the user, and to search for information based on its meaning rather than its syntactic form. • Web Services: Web Services technology has become a widely-used solution for intra- and inter-enterprise application integration, including e-commerce

  5. WWW Related Fields • Web Mining:Research in web data mining aims to develop techniques to derive knowledge from data published in web-accessible formats. Due to heterogeneity and lack of structure in web data, automated discovery of targeted or unexpected knowledge is a challenging task. Related fields are: data mining, machine learning, natural language processing, statistics, databases, and information retrieval.

  6. Search • Search engine design and architecture • Basic search engine infrastructure: crawling, indexing, and query processing • Personalized search - location, context and activity-aware search • Query and search-user modeling • Search interfaces, natural language interfaces to search, summarization, post processing tools and feedback • Search-motivated characterizations of the web • Meta-search and rank aggregation

  7. Web services • Service contract and metadata • Orchestration, choreography and composition of services • Large scale XML data integration • Tools and technologies for Web Services development, deployment and management • Software methodologies for Service-Oriented Systems • Using formal methods on Web Services • XML query processing and data management • Models and query languages for Web data

  8. Semantic Web • Ontologies and representation languages • Semantic annotation and metadata • Semantic brokering, integration and interoperability • Semantic search and retrieval • Semantic web services • Semantic web mining, ontology learning • Web applications that exploit semantics

  9. Web Mining • Classification or clustering of web data • Mining web content and link structure • Web log mining and web traffic analysis • Building user profiles and providing recommendations • Change detection and monitoring methods for web data • Entity and relationship extraction and disambiguation • Privacy issues in web mining • Data integration and data cleaning • Integrating linguistic and domain knowledge in web mining

  10. FP7 ICT Workprogramme ? • Challenge 1: Pervasive and Trusted Network and Service Infrastructures The target infrastructures has to support interoperable devices and services, a variety of content formats and a multiplicity of delivery modes and support context awareness and the dynamic behavior needed for applications with time and context varying requirements. • Objective 3.1.1.2: Service and Software Architectures, Infrastructures and Engineering (140 M€, Call 1)

  11. FP7 ICT Workprogramme ? • Challenge 4: Digital Libraries and Content • content should be made available in digital form through digital libraries and its long term accessibility and usability must be ensured. • we need more effective technologies for intelligent content creation and management, and for supporting the capture of knowledge and its sharing and reuse. • individuals and organizations have to find new ways to acquire and exploit knowledge, and thereby learn. • Objective 3.4.2.1: Intelligent Content Creation and Management (101 M€, Call 2)

  12. FP7 ICT Workprogramme ? • Objective 3.1.1.2: Service and Software Architectures, Infrastructures and Engineering • Service architectures, technologies, methods and toolsthat enable service discovery, advertising and dynamic composition. • Service/software engineering approachesand tools for dynamically composed systems • Strategies and technologies enabling mastery of complexity, dependability, and behavioral stability in complex systems and in systems evolving over time without central design.

  13. FP7 ICT Workprogramme ? • Objective 3.1.1.2: Service and Software Architectures, Infrastructures and Engineering • Virtualization tools, system software and network-centric operating systems that orchestrate unlimited, heterogeneous and dynamic resources distributed across multiple platforms as a single entity, and provide platform-independent access and sharing of knowledge, processing, communication, storage and content. They also enable the definition and execution of tasks and workflows for collaboration and operation across multiple domains and optimize usage of distributed resources. • Enabling the integration of dynamic service architectures in the “networked enterprise”, catering for enterprise interoperability, collaboration, highly distributed operations, reduced life cycle cost.

  14. FP7 ICT Workprogramme ? • Objective 3.4.2.1: Intelligent Content Creation and Management • Advanced authoring environments for the creation of novel forms of interactive and expressive content encouraging multimodal experimentation and exploration of the design space. • Collaborative workflow environments to manage the lifecycle of media and enterprise content from the acquisition of reference materials to the versioning, packaging and repurposing of complex products.

  15. FP7 ICT Workprogramme ? • Objective 3.4.2.1: Intelligent Content Creation and Management • Architectures and technologies for personalized distribution, presentation and consumption of self-adaptive content that detect and exploit emergent ambient intelligence and take full advantage of the intelligence built into content objects and rendering equipment in terms of dynamic device adaptation, contextual support of user goals, and cultural or linguistic preferences. • Empirical studies on how to foster user-produced content. Privacy preserving algorithms for mining both social and human-device interactions.

  16. FP7 ICT Workprogramme ? • Objective 3.4.2.1: Intelligent Content Creation and Management • Semantic foundations: probabilistic, temporal and modal modeling and reasoning through objective-driven research moving beyond current knowledge representation formalisms. • Advanced knowledge management systems capable of extracting meaning and structure from an analysis of structured and unstructured information and work patterns, and of making that structure available for activities ranging from document search to decision making. Such systems will exploit semantics embedded in multimedia objects, data streams and ICT-based processes, and rely on formal policies to manage user access to knowledge resources, thus supporting the dynamic formation of virtual organizations. Advances delivered through research will be embedded within end-to-end systems using computer-tractable knowledge in support of data and application integration, automation of business processes, automated diagnosis and problem-solving in a variety of knowledge-intensive domains.

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