Web Log Session Analyzer Integrating Parsing and Logic Programming into a Data Mart Architecture

Navigation and interaction patterns of Web users can be relatively complex, especially for sites with interactive applications that support user sessions and profiles. We describe such a case for an interactive virtual garment dressing room. The application is distributed over many web sites, suppor...

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Vydáno v:IEEE/WIC/ACM International Conference on web intelligence s. 794 - 797
Hlavní autor: Desmarais, Michel C.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: Washington, DC, USA IEEE Computer Society 19.09.2005
IEEE
Edice:ACM Conferences
Témata:
Application software
Applied computing > Document management and text processing
Computer architecture
Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Logic programming and answer set programming
Computing methodologies > Artificial intelligence > Natural language processing
Data engineering
Electric breakdown
Hair
Information systems > Information retrieval > Users and interactive retrieval > Personalization
Information systems > World Wide Web > Web searching and information discovery > Personalization
Logic programming
Navigation
Service oriented architecture
Skin
Software and its engineering > Software notations and tools > Context specific languages > Domain specific languages
Software and its engineering > Software organization and properties > Software system structures > Software architectures
Theory of computation > Logic > Constraint and logic programming
ISBN:076952415X, 9780769524153
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Shrnutí:Navigation and interaction patterns of Web users can be relatively complex, especially for sites with interactive applications that support user sessions and profiles. We describe such a case for an interactive virtual garment dressing room. The application is distributed over many web sites, supports personnalization and user profiles, and the notion of a multi-site user session. It has its own data logging system that generates approximately 5GB of complex data per month. The analysis of those logs requires more sophisticated processing than is typically done using a relational language. Even the use of procedural languages and DBMS can prove tedious and inefficient. We show an approach to the analysis of complex log data based on a parallel stream processing architecture and the use of specialized languages, namely a grammatical parser and a logic programming module, that offers an efficient, flexible, and powerful solution.
Bibliografie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:076952415X
9780769524153
DOI:10.1109/WI.2005.159