By Ning Zhong (auth.), Ernestina Menasalvas, Javier Segovia, Piotr S. Szczepaniak (eds.)
We are happy to provide the complaints of the 2003 Atlantic internet Intelligence C- ference, AWIC 2003. The convention used to be positioned in Madrid, Spain in the course of might 5–6, 2003, prepared in the community via the Technical collage of Madrid. AWIC 2003 aimed to be the rst of a sequence of meetings on net Intelligence, to be celebrated each year, on the other hand in Europe and the USA, beginning in Madrid. It was once born as an job of the lately created WIC-Poland learn Centre and the WIC-Spain study Centre, bothbelongingtotheWebIntelligenceConsortium(WIC) (http://wi-consortium.org).AWIC 2003 used to be supported with can provide from the S- nish Ministry for technology and expertise and the eu community of Excellence in wisdom Discovery, KDNet. AWIC 2003 introduced jointly scientists, engineers, desktop clients, and scholars to replace and percentage their reports, new rules, and examine effects approximately all facets (theory,applications,andtools)ofarti cialintelligencetechniquesappliedtoWeb-based structures, and to debate the sensible demanding situations encountered and the suggestions followed. virtually 70 contributions have been submitted. After a initial overview, 60 of those papers have been authorized to the convention and have been assigned not less than reviewers from the foreign application committee. Out of this 60, 33 have been conditionally authorized, and 32 of them have been nally authorized after the stipulations set by way of the reviewers were met, which ended in an reputation ratio of 45%.
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Extra resources for Advances in Web Intelligence: First International AtlanticWeb Intelligence Conference, AWIC 2003, Madrid, Spain, May 5–6, 2003. Proceedings
Each one of the new queries has a fuzzy compatibility degree with the original query that is calculated from the synonymy degree between the words included in it and the words specified in the original query. This value is later used when ordering the retrieved links. All the items involved in the query online processing are shown in Fig. 2. Search Engine. It is the responsible for retrieving the links of the web pages that match the generated queries. Although the documents are indexed using Clustered Organized Conceptual Queries in the Internet Using Fuzzy Interrelations • 41 the FIS-CRM model, the matching mechanism is the standard one implemented in most IR systems.
A. P. Romero 3 COC Query System Architecture The clustered organized concept query system has four main components that correspond with the four main steps of the global process carried out in this system. 1), the query input component, the search engine and the clustering component (these later ones showed in Fig. 2). World Wide Web Web Crawler (OFFLINE) FIS-CRM indexer Thematic ontology ... Synonymy Dictionary Thematic ontology Thematic ontology IR Index of FIS-CRM Vectors Fig. 1. Web crawling offline process • • • Web Crawler.
These decisions should allow the sponsor company to improve the effectiveness of its web site. Effectiveness is measured in terms of how well the company achieves its (business) goals through its web site. Web Mining has been traditionally divided into three interrelated areas: Web Content Mining, Web Usage Mining and Web Structure Mining [2,12]. In this sense, Web Content Mining has been used to refer to the process of extracting information from web pages content. Web Structure Mining makes reference to the process of information extraction from web topology based on existing links between web pages.