Innovations in Web Applications by Using the Artificial Intelligence Paradigm
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Summary
This chapter shows how artificial intelligence techniques can be utilized to improve the web and the benefits that can be obtained by integrating the Web and Artificial Intelligence.
- Type
- article
- Published
- 2008-09-04
- Cited by
- 0
- References
- 49
- OpenAlex
- https://openalex.org/W7494411
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59811562
Keywords
Web intelligence, Computer science, The Internet, World Wide Web, Web engineering
References
- The Adaptive Web, Methods and Strategies of Web Personalization
- Handbook of Research on Text and Web Mining Technologies
- Can Data Mining Techniques Ease The Semantic Tagging Burden?
- Fast Algorithms for Mining Association Rules in Large Databases
- Developing semantic web services
- Data on the Web: From Relations to Semistructured Data and XML
- XML Topic Maps: Creating and Using Topic Maps for the Web
- FASTUS: A Finite-state Processor for Information Extraction from Real-world Text
- Accessibility of information on the web
- Impedance coupling in content-targeted advertising
- A Progressive Clustering Algorithm to Group the XML Data by Structural and Semantic Similarity
- XML schema clustering with semantic and hierarchical similarity measures
- Data Mining in Web Services Discovery and Monitoring
- Data mining for hypertext: a tutorial survey
- Association Rule Ontology Matching Approach
- Web mining for web personalization
- A Survey on Ontology Creation Methodologies
- The semantic web: yet another hip?
- ANF: a fast and scalable tool for data mining in massive graphs
- Data mining and the Web: past, present and future
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