Semantic Web and Web Mining: Networking with Industry and Academia

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Semantic Web and Web MiningNetworking with
Industry and Academia

• Ismail Hakki Toroslu
• IST EVENT 2006

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WWW Related Subjects

• Browsers and Search
• browsers that are richer and more interactive
• improved search tools to explore and access
  complex and unstructured information on the Web

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WWW Related Subjects

• XML
• language of the Web
• basis for many Web-based applications
• Used for
• data exchange
• to publish data from database systems
• (provides input to content generators).
• Web Services
• intra- and inter-enterprise application
  integration
• (e-commerce)

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WWW Related Subjects

• Semantic Web
• to extend the current human-readable web
  by encoding the semantics of
  web-resources in a machine-interpretable form
• Used for
• to automatically integrate data from different
  sources
• to perform actions on behalf of the user
• to search for information
• based on its meaning rather than its
  syntactic form.

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WWW Related Subjects

• Web Mining
• 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 becomes hard
• Related fields data mining, machine learning,
• natural language processing,
  statistics,
• databases, information retrieval

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Issues Browsers and Search

• Search engine design and architecture
• Basic search engine infrastructure
• crawling, indexing, and query processing
• Personalized search
• location, context, activity-aware search
• Query languages for Web data
• Search interfaces natural language interfaces,
  summarization, post processing tools, feedback
• Search-motivated characterizations of the web
• Meta-search and ranking

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Issues XML and Web Services

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

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Issues Semantic Web

• Ontologies, ontology representation languages
• Semantic annotation and metadata
• Semantic integration and interoperability
• Semantic search and retrieval
• Semantic web services
• Semantic web mining
• Ontology learning

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Issues Web Mining

• Classification and clustering of web data
• Web content mining
• Web link structure mining
• Web usage mining (log 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