Home

Call for Papers

Online Proc.

Program

Committees

Related events

Publication

List of accepted Papers

Important Dates

• Deadline for abstract submission: June 13, 2003
• Deadline for paper submission: June 18, 2003
• Notification of acceptance: July 4, 2003
• Deadline for final contributions July 11, 2003

Workshop Goals

The Web presents a key driving force for a large spectrum of applications in which a user interacts with a company, a governmental authority, a non-governmental organization, or another non-profit institution. The application providers should combine knowledge about user expectations and Web semantics, in order to form personalised, user-friendly, and business-optimal services. Enabling methodologies include data mining, text mining, and ontology learning. Recipient technologies include user profiling, usage analysis, ontology extraction for the Semantic Web, intelligent search and recommendation systems based on user preferences, page content, and site semantics.

The EWMF'03 workshop is organised by the KDNet interest group Web Mining Forum on knowledge discovery from and about the Web. It aims to bring together various perspectives on Web mining and stress the synergy effects between Web usage mining, Web content mining and Web intelligence, and of Semantic Web Mining, which is the subject of a workshop series in the ECML/PKDD conference since 2001.

To ensure an interactive atmosphere, we plan to complement the presentations of workshop contributions by a panel discussion. This panel will identify the most important common and complementary research subjects of the researchers in the Web mining subdomains and will promote mutual understanding and cross-fertilisation among research groups.

Topics of interest

EWMF'03 calls for international contributions related to Web content analysis, ontology learning for Web content and for the Semantic Web, Web usage mining, mining the Semantic Web, and the exploitation of the mining results in e-applications. These include the following topics:

Enabling methodologies

• Data warehousing for Web data
• Ontology and instance learning
• Text and hypertext classification
• Web usage mining taking content/structure into account
• Web content and structure mining
• Information extraction
• Using the syntactic, vocabulary and logical layer of the Semantic Web for mining
• Incorporation of background knowledge in the mining process

Technologies for Web applications

• Ontology extraction for the Semantic Web
• User profiling
• Intelligent search
• Recommendation systems
• Permission marketing

Applications of these methodologies and technologies