Dai, H., & Mobasher, B. (2001). Using ontologies to discover domain-level web usage profiles. In Proc. 2 nd Semantic Web Mining Workshop at PKDD'01. Home/Search Document Details and Download
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Usage Mining for and on the Semantic Web - Stumme, Hotho (Correct)
....high level of abstraction with restaurantchoice behavior at a comparatively detailed level of description. For example, Srikant and Agrawal [49] search for associations in given taxonomies, using support and confidence thresholds to guide the choice of level of abstraction. Dai and Mobasher [18] present a scheme for aggregating towards more general concepts when an explicit taxonomy is missing. They apply clustering to sets of sessions; this clustering identifies related concepts at different levels of abstraction. Semantic Web Usage Mining for complex application events involves two ....
H. Dai and B. Mobasher. Using ontologies to discover domain-level web usage profiles. In Proceedings of the Second Semantic Web Mining Workshop at PKDD 2001.
Conceptual User Tracking - Oberle, Berendt, Hotho, Gonzalez (Correct)
....interesting are mining algorithms that can deal flexibly with taxonomical knowledge (a simple form of ontological knowledge) Srikant and Agrawal [23] search for associations in given taxonomies, using support and confidence thresholds to guide the choice of level of abstraction. Dai and Mobasher [8] present a scheme for aggregating towards more general concepts when an explicit taxonomy is missing. They apply clustering to sets of sessions; this clustering identifies related concepts at different levels of abstraction. They are thus able to identify common interests of users at a more ....
....the following, we will describe two existing procedures, and contrast them with our new proposal. 2.4 Existing approaches to the semantic enrichment of Web logs This section describes two existing proposals for adding semantics to Web log files. Information extraction. Mobasher et al. e.g. [19, 8]) treat sessions as sets of URL requests. They map URLs to sets of concepts, where each concept is a term extracted from a Web page s text. This allows them to represent each page as a feature vector, with (in the simplest case) the # component being 1 if the # term is present, and 0 ....
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H. Dai and B. Mobasher. Using ontologies to discover domain-level web usage profiles. In Proceedings of the Second Semantic Web Mining Workshop at PKDD 2001, Helsinki, Finland, August 20, 2002, 2002.
Web Usage Mining Based on Probabilistic Latent Semantic.. - Jin, Zhou, Mobasher (2004) (3 citations) Self-citation (Mobasher) (Correct)
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H. Dai and B. Mobasher. Using ontologies to discover domain-level web usage profiles. In Proceedings of the 2nd Semantic Web Mining Workshop at ECML/PKDD 2002.
A Road map to More Effective Web Personalization: Integrating.. - Dai, Mobasher (2003) (3 citations) Self-citation (Dai Mobasher) (Correct)
....into pattern discovery phase to generate semantic usage patterns. Here we will focus on the latter approach. Given a discovered usage profile (a set of pageview weight pairs) as described earlier, we can transform it into a domain level aggregate representation of the underlying objects ( [6]. To distinguish between the representations we call the original discovered pattern an item level usage profile, and we call the new profile based on the domain ontology a domain level aggregate profile. The item level profile is first represented as a weighted set of objects: pr = #o #, ....
H. Dai and B. Mobasher. Using ontologies to discover domain-level web usage profiles. In 2nd Semantic Web Mining Workshop at ECML/PKDD-2002.
Using and Learning Semantics in Frequent Subgraph Mining - Berendt (2005) (Correct)
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Dai, H., & Mobasher, B. (2001). Using ontologies to discover domain-level web usage profiles. In Proc. 2 nd Semantic Web Mining Workshop at PKDD'01.
Improving Semantic Consistency of Web Sites - Quantifying User Intent (2005) (Correct)
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Dai,H.,Mobasher,B., Using ontologies to discover domain-level web usage profiles, PKDD 2001
SEWeP: Using Site Semantics and a Taxonomy to.. - Eirinaki, Lampos, .. (2003) (Correct)
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H. Dai, B. Mobasher, Using Ontologies to Discover Domain-Level Web Usage Profiles, in Proc. of the 2 Workshop on Semantic Web Mining, at PKDD'02, Helsinki, Finland, August 2002
Context-Sensitive Modeling of Web-Surfing Behaviour using.. - Acharyya, Ghosh (Correct)
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H. K. Dai and B. Mobasher. Using ontologies to discover domain-level web usage profiles. In Second Workshop on Semantic Web Mining, at the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), pages 61--82, 2002.
Context-Sensitive Modeling of Web-Surfing Behaviour using.. - Acharyya, Ghosh (Correct)
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H. K. Dai and B. Mobasher. Using ontologies to discover domain-level web usage profiles. In Second Workshop on Semantic Web Mining, at the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), pages 61--82, 2002.
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