Automatic cataloguing of Web resources on a personalized taxonomy

Information overload is a major concerns retrieval systems face. Information is ubiquitous, available from many distinct sources and the main issue is to get just the right piece of information that might satisfy our specific needs. Many of these sources organize their informational resources on a given ontology. However, these ontologies are static and do not allow for personalization. This fact degrades the value of the service if there is no easy mental mapping between user specific needs and the general source ontology. Organizing informational resources according to particular needs might increase users’ satisfaction and save their time. In this paper we present a methodology to filter and organize informational resources according to users’ interests, thus granting users with a personalized edition of the resource, especially tailored towards their specific needs. We believe that this methodology may be applied in educational scenarios, where we have a repository of educational objects that are organized according to specific objectives, automatically producing specific courseware. Our experimental results confirm that it is possible to automatically personalize document resources with high precision at a reduced editor workload.This work is supported by the POSC/EIA/58367/2004/Site-o-Matic Project (Fundação Ciência e Tecnologia), FEDER e Programa de Financiamento Plurianual de Unidades de I & D. We would like to thank the Expresso newspaper for their support throughout this work.info:eu-repo/semantics/publishedVersio

A data warehouse to support web site automation

Background: \ud Due to the constant demand for new information and timely updates of services and content in order to satisfy the user’s needs, web site automation has emerged as a solution to automate several personalization and management activities of a web site. One goal of automation is the reduction of the editor’s effort and consequently of the costs for the owner. The other goal is that the site can more timely adapt to the behavior of the user, improving the browsing experience and helping the user in achieving his/her own goals. \ud \ud Methods: \ud A database to store rich web data is an essential component for web site automation. In this paper, we propose a data warehouse that is developed to be a repository of information to support different web site automation and monitoring activities. We implemented our data warehouse and used it as a repository of information in three different case studies related to the areas of e-commerce, e-learning, and e-news. \ud \ud Result: \ud The case studies showed that our data warehouse is appropriate for web site automation in different contexts. \ud \ud Conclusion: \ud In all cases, the use of the data warehouse was quite simple and with a good response time, mainly because of the simplicity of its structure.FCT - Science and Technology Foundation (SFRH/BD/22516/2005)project Site-O-Matic (POSC/EIA/58367/2004)São Paulo Research Foundation (FAPESP) (grants 2011/19850-9, 2012/13830-9

Ontology Engineering: a Survey and a Return on Experience

Ontology is a new object of IA that recently came to maturity and a powerful conceptual tool of Knowledge Modeling. It provides a coherent base to build on, and a shared reference to align with, in the form of a consensual conceptual vocabulary, on which one can build descriptions and communication acts. This report presents the object that is called "an ontology" and a state of the art of engineering techniques for ontologies. Then it describes a project for which we developed an ontology and used it to improve knowledge management. Finally it describes the design process and discuss the resulting ontology