Denilson Sell

Semantic Web service composition in IRS-III: the structured approach

Semantic Web services facilitate activities including automatic discovery and composition of Web services. Research initiatives such as WSMO have been developing specifications for this technology. This paper describes a model for composition of Web services. The proposed model complements the WSMO orchestration in IRS-III, a framework for semantic Web services based on WSMO specification. We present a tool based on the above model that supports a user-guided interactive composition approach, by recommending component Web services according to the composition context.

Adding Semantics to Business Intelligence

Despite the importance of analytical tools to organisations, they still lack the inference power needed to solve the requests of decision makers in a flexible way. Our approach aims at integrating business semantics into analytical tools by providing semantic descriptions of exploratory functionalities and available services. We propose an architecture for business intelligence, which uses semantic Web technology based on IRS-III. In addition, we present OntoDSS, a prototype tool based on this architecture that illustrates some of the functionalities that may be provided to decision makers within an application scenario

A framework to improve semantic web services discovery and integration in an e-gov knowledge network

One of the major challenges in Semantic Web Service (SWS) technology is the improvement of the services matching process. This challenge is a critical issue to promote systems interoperability in the context of Scienti Network (SN), an international knowledge network in Science & Technology (S&T) [1]. We have been working on a framework to tackle this problem in the context of IRS-II SWS infrastructure. This framework (SeGOV), comprehends a set of ontologies to describe services in functional layers in order to allow their matching and improve their capabilities.

Adding Semantics to Business Intelligence: Towards a Smarter Generation of Analytical Tools

Fierce competition in the digital economy and increasing volume of available data are forcing organizations to find efficient ways to gain valuable information and knowledge to improve the efficiency of their business processes. Business Intelligence (BI) solutions offer the means to transform data to information and derive knowledge through analytical tools in order to support decision making. Analytical tools should support decision makers to find information quickly and enable them to make well-informed decisions.

Observatórios de Conhecimento: conceitualização e perspectivas de aplicação na Gestão do Conhecimento

A maioria das abordagens para os chamados “observatorios” busca apoiar processos de tomada de decisao estrategica em diferentes areas de uma organizacao. Ate o momento, nao ha uma definicao de consenso na literatura para o termo “Observatorio”. Entre as areas potencialmente beneficiadas esta a gestao de competencias organizacionais. Neste artigo, pesquisamos o referencial teorico para a conceitualizacao e aplicabilidade de “Observatorios de conhecimento”( i.e., “Observatorios de competencias”). Com base em revisao da literatura sobre o termo “observatorio”, propoe-se uma taxonomia para definicoes e aplicacoes. Como resultado, verifica-se que, diferentemente de outros tipos de observatorios, os Observatorios de conhecimento podem ter um significado de referencia se forem compreendidos como instrumentos de apoio ao planejamento e a gestao por competencias em redes de individuos, grupos e organizacoes em diversos dominios do conhecimento.

SEMANTIC PORTALS AS A SUPPORT FOR KNOWLEDGE MANAGEMENT IN ORGANIZATIONS

This paper presents the semantic portals – an evolution of web portals, which are present in the so called semantic web. A semantic portal is a Knowledge Engineering tool that supports Knowledge Management, favoring integration, organization, search and dissemination of knowledge in an organization. The methodology progressed through the following stages: literature review, data analysis, synthesis and structuring of content. At the outset, it shows the evolution of web portals, distinguishing a traditional portal from a semantic one. Subsequently, the study discusses an ontology-based technique which allows knowledge representation in the semantic web, essential in semantic portals. Examples of using semantic portals are provided, in order to demonstrate their key benefits, such as: better information recovery, sharing and reuse of knowledge and resources, information and system integration, and service personalization. It was concluded, based in the literature review, the semantic portals have several advantages that can benefit organizations in Knowledge Management.