Ontological View-driven Semantic Integration in Open Environments

In an open computing environment, such as the World Wide Web or an enterprise Intranet, various information systems are expected to work together to support information exchange, processing, and integration. However, information systems are usually built by different people, at different times, to fulfil different requirements and goals. Consequently, in the absence of an architectural framework for information integration geared toward semantic integration, there are widely varying viewpoints and assumptions regarding what is essentially the same subject. Therefore, communication among the components supporting various applications is not possible without at least some translation. This problem, however, is much more than a simple agreement on tags or mappings between roughly equivalent sets of tags in related standards. Industry-wide initiatives and academic studies have shown that complex representation issues can arise. To deal with these issues, a deep understanding and appropriate treatment of semantic integration is needed. Ontology is an important and widely accepted approach for semantic integration. However, usually there are no explicit ontologies with information systems. Rather, the associated semantics are implied within the supporting information model. It reflects a specific view of the conceptualization that is implicitly defining an ontological view. This research proposes to adopt ontological views to facilitate semantic integration for information systems in open environments. It proposes a theoretical foundation of ontological views, practical assumptions, and related solutions for research issues. The proposed solutions mainly focus on three aspects: the architecture of a semantic integration enabled environment, ontological view modeling and representation, and semantic equivalence relationship discovery. The solutions are applied to the collaborative intelligence project for the collaborative promotion / advertisement domain. Various quality aspects of the solutions are evaluated and future directions of the research are discussed

Integración de sistemas de información geográfica

Hoy en día gran cantidad de entidades en el mundo están utilizando la información geográfica como base para sus sistemas de información. Este gran crecimiento trajo consigo la necesidad de compartir ésta información que se encuentra tanto en sistemas privados como en públicos (por ejemplo, Internet). Pero la integración de estos sistemas no es una tarea trivial, hay varios aspectos que se deben analizar de manera de conocer los posibles problemas que la heterogeneidad provoca. En este trabajo describimos el marco conceptual en el cual se ubican estos sistemas de información geográfica describiendo los aspectos fundamentales que se deben tener en cuenta al iniciar un proceso de integración.Eje: Ingeniería de Software y Base de DatosRed de Universidades con Carreras en Informática (RedUNCI

Integración de sistemas de información geográfica

Hoy en día gran cantidad de entidades en el mundo están utilizando la información geográfica como base para sus sistemas de información. Este gran crecimiento trajo consigo la necesidad de compartir ésta información que se encuentra tanto en sistemas privados como en públicos (por ejemplo, Internet). Pero la integración de estos sistemas no es una tarea trivial, hay varios aspectos que se deben analizar de manera de conocer los posibles problemas que la heterogeneidad provoca. En este trabajo describimos el marco conceptual en el cual se ubican estos sistemas de información geográfica describiendo los aspectos fundamentales que se deben tener en cuenta al iniciar un proceso de integración.Eje: Ingeniería de Software y Base de DatosRed de Universidades con Carreras en Informática (RedUNCI

Integration of biological data: systems, infrastructures and programmable tools

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid. Escuela Politécnica Superior, Departamento de Ingeniería informática. Fecha de lectura: 19-05-200

A BIM - GIS Integrated Information Model Using Semantic Web and RDF Graph Databases

In recent years, 3D virtual indoor and outdoor urban modelling has become an essential geospatial information framework for civil and engineering applications such as emergency response, evacuation planning, and facility management. Building multi-sourced and multi-scale 3D urban models are in high demand among architects, engineers, and construction professionals to achieve these tasks and provide relevant information to decision support systems. Spatial modelling technologies such as Building Information Modelling (BIM) and Geographical Information Systems (GIS) are frequently used to meet such high demands. However, sharing data and information between these two domains is still challenging. At the same time, the semantic or syntactic strategies for inter-communication between BIM and GIS do not fully provide rich semantic and geometric information exchange of BIM into GIS or vice-versa. This research study proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graph databases. The suggested solution's originality and novelty come from combining the advantages of integrating BIM and GIS models into a semantically unified data model using a semantic framework and ontology engineering approaches. The new model will be named Integrated Geospatial Information Model (IGIM). It is constructed through three stages. The first stage requires BIMRDF and GISRDF graphs generation from BIM and GIS datasets. Then graph integration from BIM and GIS semantic models creates IGIMRDF. Lastly, the information from IGIMRDF unified graph is filtered using a graph query language and graph data analytics tools. The linkage between BIMRDF and GISRDF is completed through SPARQL endpoints defined by queries using elements and entity classes with similar or complementary information from properties, relationships, and geometries from an ontology-matching process during model construction. The resulting model (or sub-model) can be managed in a graph database system and used in the backend as a data-tier serving web services feeding a front-tier domain-oriented application. A case study was designed, developed, and tested using the semantic integrated information model for validating the newly proposed solution, architecture, and performance

Um método para determinar a equivalência semãntica entre esquemas GML

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-graduação em Ciência da Computaçã

Ontology-driven resolution of semantic heterogeneities in gdb conceptual schemas

As the geographic information system (GIS) community grows, more and more people needs to share geographic information. As modern GIS data is stored in geographic databases their conceptual schemas have to be, at least, interoperable. Due to the fact that the databases are designed by many different people from different countries, using different languages and maybe with different definitions for the same phenomenon there is a high probability that the conceptual schemas have semantic heterogeneities between them. In order to handle these heterogeneities this paper suggests the use of ontologies as mediators to the semantic integration. A software architecture is proposed, which handles also syntactic heterogeneities using a standard language, the GML beyond the semantic ones. A ontology that represents a subset of the geographic reality was created and a similarity matching algorithm was developed to process schemas against it. The mathematical methods of similarity measurement modeling concepts have been tuned for a set of real GDB conceptual schemas.Pages: 247-26