Integrating Web Portals with Semantic Web Services

2010 ◽  
Vol 6 (1) ◽  
pp. 57-67 ◽  
Author(s):  
César J. Acuña ◽  
Mariano Minoli ◽  
Esperanza Marcos
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Data Integration ◽  
Methodological Approach ◽  
Integrated Systems ◽  
Semantic Web Services ◽  
Web Portals ◽  
Web Portal ◽  
Integration Architecture

Several systems integration proposals have been suggested over the years. However these proposals have mainly focused on data integration, not allowing users to take advantage of services offered by Web portals. Most of the mentioned proposals only provide a set of design principles to build integrated systems and lack in suggesting a systematic way of how to develop systems based on the integration architecture they propose. In previous work we have developed PISA (Web Portal Integration Architecture)—a Web portal integration architecture for data and services—and MIDAS-S, a methodological approach for the development of integrated Web portals, built according to PISA. This work shows, by means of a case study, how both proposals fit together integrating Web portals.

Integrating Web Portals with Semantic Web Services

2012 ◽  
pp. 326-336
Author(s):  
César J. Acuña ◽  
Mariano Minoli ◽  
Esperanza Marcos
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Data Integration ◽  
Methodological Approach ◽  
Integrated Systems ◽  
Semantic Web Services ◽  
Web Portals ◽  
Web Portal ◽  
Integration Architecture

Several systems integration proposals have been suggested over the years. However these proposals have mainly focused on data integration, not allowing users to take advantage of services offered by Web portals. Most of the mentioned proposals only provide a set of design principles to build integrated systems and lack in suggesting a systematic way of how to develop systems based on the integration architecture they propose. In previous work we have developed PISA (Web Portal Integration Architecture)—a Web portal integration architecture for data and services—and MIDAS-S, a methodological approach for the development of integrated Web portals, built according to PISA. This work shows, by means of a case study, how both proposals fit together integrating Web portals.

Ontology, Web Services, and Semantic Web Portals

2011 ◽  
pp. 658-668
Author(s):  
Ah Lian Kor
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Portals ◽  
Web Portal ◽  
Semantic Web Technologies ◽  
Semantic Query ◽  
Web Technologies ◽  
Ontology Languages ◽  
Rdf Schema

In the article, entitled “Semantic Web, RDF, and Portals”, it is mentioned that a Semantic Web Portal (SWP) has the generic features of a Web portal but is built on semantic Web technologies. This article provides an introduction to two types of Web ontology languages (RDF Schema and OWL), semantic query, Web services, and the architecture of a Semantic Web Portal.

Steps, techniques, and technologies for the development of intelligent applications based on Semantic Web Services: A case study in e-learning systems

2011 ◽  
Vol 24 (8) ◽  
pp. 1355-1367 ◽  
Author(s):  
Heitor Barros ◽  
Alan Silva ◽  
Evandro Costa ◽  
Ig Ibert Bittencourt ◽  
Olavo Holanda ◽  
...  
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Learning Systems ◽  
Semantic Web Services ◽  
E Learning

An Approach for Biological Data Integration and Knowledge Retrieval Based on Ontology, Semantic Web Services Composition, and AI Planning

2013 ◽  
pp. 1727-1744
Author(s):  
Muhammad Akmal Remli ◽  
Safaai Deris
Keyword(s):  
Artificial Intelligence ◽  
Web Services ◽  
Semantic Web ◽  
Data Integration ◽  
Semantic Web Services ◽  
Ai Planning ◽  
Web Services Composition ◽  
Knowledge Retrieval ◽  
Services Composition ◽  
New Perspective

This chapter describes an approach involved in two knowledge management processes in biological fields, namely data integration and knowledge retrieval based on ontology, Web services, and Artificial Intelligence (AI) planning. For the data integration, Semantic Web combining with ontology is promising several ways to integrate a heterogeneous biological database. The goal of this work is to construct an integration approach for gram-positive bacteria organism that combines gene, protein, and pathway, thus allowing biological questions to be answered. The authors present a new perspective to retrieve knowledge by using Semantic Web services composition and Artificial Intelligence (AI) planning system, Simple Hierarchical Order Planner 2 (SHOP2). A Semantic Web service annotated with domain ontology is used to describe services for biological pathway knowledge retrieval at Kyoto Encyclopedia of Gene and Genomes (KEGG) database. The authors investigate the effectiveness of this approach by applying a real world scenario in pathway information retrieval for an organism where the biologist needs to discover the pathway description from a given specific gene of interest. Both of these two processes (data integration and knowledge retrieval) used ontology as the key role to achieve the biological goals.

scholarly journals Architecture of the Organic.Edunet Web Portal

2011 ◽  
pp. 759-773
Author(s):  
Nikos Manouselis ◽  
Kostas Kastrantas ◽  
Salvador Sanchez-Alonso ◽  
Jesús Cáceres ◽  
Hannes Ebner
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Learning Resources ◽  
Web Portals ◽  
Web Portal ◽  
Semantic Web Technologies ◽  
Web Technologies

The use of Semantic Web technologies in educational Web portals has been reported to facilitate users’ search, access, and retrieval of learning resources. To achieve this, a number of different architectural components and services need to be harmonically combined and implemented. This article presents how this issue is dealt with in the context of a large-scale case study. More specifically, it describes the architecture behind the Organic.Edunet Web portal that aims to provide access to a federation of repositories with learning resources on agricultural topics. The various components of the architecture are presented and the supporting technologies are explained. In addition, the article focuses on how Semantic Web technologies are being adopted, specialized, and put in practice in order to facilitate ontology-aided sharing and reusing of learning resources.

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