By Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou, Gerd Stumme
In the final years, learn on internet mining has reached adulthood and has broadened in scope. diverse yet interrelated study threads have emerged, in response to the twin nature of the net: – the internet is a virtually in?nite choice of files: the purchase and - ploitation of data from those records asks for clever suggestions for info categorization, extraction and seek, in addition to for adaptivity to the pursuits and history of the association or person who seems for info. – the internet is a venue for doing enterprise electronically: it's a venue for interplay, details acquisition and repair exploitation utilized by public specialists, n- governmental corporations, groups of curiosity and personal individuals. while saw as a venue for the fulfillment of commercial pursuits, an internet presence may be aligned to the targets of its proprietor and the necessities of its clients. This increases the call for for understandingWeb utilization, combining it with different assets of information inside of a company, and deriving traces of motion. ThebirthoftheSemanticWebatthebeginningofthedecadeledtoacoercionofthetwo threadsintwoaspects:(i)theextractionofsemanticsfromtheWebtobuildtheSemantic Web;and(ii)theexploitationofthesesemanticstobettersupportinformationacquisition and to augment the interplay for company and non-business reasons. Semantic internet mining encompasses either elements from the point of view of data discovery.
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Extra info for Web Mining: From Web to Semantic Web: First European Web Mining Forum, EWMF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Invited and Selected Revised Papers
Each page impression represents certain concepts from the business domain and each concept in turn is represented by a number of content objects (often called hits). Each content object is identified by a unique URI but also has a number of attributes that describe its content. This is especially useful for dynamic web sites where the URLs themselves do not explicitly present all content related information. Fig. 1. Customer Interaction Model The concepts themselves may be related through a domain specific ontology.
Each content object is identified by a unique URI but also has a number of attributes that describe its content. This is especially useful for dynamic web sites where the URLs themselves do not explicitly present all content related information. Fig. 1. Customer Interaction Model The concepts themselves may be related through a domain specific ontology. For example an online movie retailer may have content objects related to films, actors, directors, producers, choreographer, etc. Using such an ontology within the web usage mining process or indeed during the deployment of web usage mining results remains a challenge.
The work for this paper was partially supported by the European Commission’s Marie Curie Grant No. HPMT-2000-00049 ‘PERSONET’. The authors would also like to acknowledge the contribution of Ken McClure and Miguel Alvarez to the implementation of Concerto. References 1. 2. 3. 4. 5. 6. 7. 8. 9. , "User attitudes regarding a useradaptive e-commerce Web Site", In User Modeling and User-Adapted Interaction 13: 373-396, 2003. , Pitt L. and Watson Richard. The world wide web as advertising medium: toward an understanding of conversion efficiency, In the Journal of Advertising Research, vol.