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Earth and environmental scientists collect and use a wide range of observational data. This data often exhibits high structural and semantic heterogeneity due to the variety of data collected and the ways in which observational datasets are structured in practice. However, to address questions at broad temporal, geographic, and biological scales, researchers often need to access and combine data from...
With the increase of the number of independent database applications, Large organizations are eager to an effective solution of heterogeneous and distributed databases integration. Ontology is defined as an explicit formal specification of a shared conceptualization. It can provide semantics through relations between concepts and can be widely used on heterogeneous data. This paper mainly discusses...
With the rapid development of Internet technology, web information system has achieved great development, and XML, as the new carrier and standard of information exchanging and calculating on the internet, has been widely used as well. While providing a uniform syntax and semi-structured data model, XML does not express semantics but only structure. This paper combines the web data integration problem...
This research utilized software agent based technology in expanding remote machine tool service system by constructing related remote service ontologies to facilitate its smart and distributive characteristics. These service agents could be used for remote smart machine tool services underlying Internet through the communication protocols supported by both KQML (Knowledge Query Manipulation Language)...
Semantic integration is a key technology of heterogeneous database interoperation at present. This article proposes a method of building heterogeneous database integration framework which is fairly complete and based on ontology by the advantage of ontology semantic integration. The article puts forward semantic mapping approach based on semantic similarity of the concept name, property type and instance...
There exists a variety of heterogeneous data that need to be integrated within a secure domain. How to integrate the security data from various data source safely is a challenge for database researchers. In this paper, we introduce a new model for security data integrity, Weight-value-Extended MLS (WEMLS), which is development based on MLS. Compared with MLS, WEMLS can not only guarantee the security...
In order to break the bulwark and eliminate the information isolated island in UGIS, the architecture of SOA-oriented urban spatial information platform is proposed. The SOA-oriented urban spatial information management and service architecture is designed and the key technologies are discussed in detail. The architecture is based on service and adopts the convenient and widely used SOA. It contains...
High performance processing of agricultural data in the grid environment is a complex and hardly problem, mainly due to agricultural data's geographic distribution, heterogeneity, variety. A layered software architecture agriculture of agricultural data grid is designed. Agricultural meta-data model based spatio-temporal ontology, spatial clustering and mapping for agricultural data, information cooperation,...
In this paper we propose a hierarchical data model for representing ontologies. The model is suited for efficiently handling hierarchical relationships, frequently found in the ontology structure. Our hierarchical data model defines a generic representation using hierarchies that can be persisted in a general purpose records structure. We introduce two algorithms that efficiently represent the hierarchical...
Information integration is a key for further growth of efficiency in management decisions for the railway domain. In the context of the EU project InteGRail (funded in the 6th Framework Programme) an integration approach leveraged by ontologies known from the semantic Web and logic-based reasoning mechanisms has been successfully demonstrated. To this effect existing heterogeneous monitoring data...
Establish and maintain software artifact traceability is widely recognized as one of the major challenges in software engineering research. Because of the lack of automatic or semi-automatic methodologies and technologies, traceability information is often out of date or completely missing as the software changes. We present a framework for software artifacts management based on dataspace. The characteristics...
Mediating heterogeneous data sources through ontology-based data integration has been a critical issue in the database community for the past few years. To overcome the shortcoming of the traditional conflict resolutions for the ontology-based data integration system, this paper puts forward a new architecture called RCM, which provides an extensible mechanism in the descriptions of mapping formulas...
The emergence of the semantic Web has given rise to several researches on semantic integration of heterogeneous relational databases using ontology. This paper studies the query rewriting problem in such an integration scenario. RDFpsilas graph model lends itself well to expressing relational data. To model the relational schema, we propose a data source describing method based on SPARQL graph patterns...
The Web has become the largest information source, which includes all aspect of human's life. The myriad information is believed to be hidden behind the deep Web, which the search engines and crawlers can't access directly. To extend the human's physical limitation of accessing information, the information fusion system is introduced. The Web is very different from the traditional database community,...
This paper presents a new theoretical data mining framework that adapts the existing data mining systems with the architecture of the Knowledge Grid, the mechanism of the ontologies, and the factor of the human-driven knowledge. Aiming at much of the research to date focusing on the technique and algorithms, the new framework describes the essential factors from systemic and technical viewpoints respectively...
The explosion of the Internet in recent years has caused the need of the association between different industries and branches to achieve communication and information sharing. However various heterogeneities exist between different data sources, especially semantic heterogeneities because the same data was modeled by different users in different ways. This paper mainly imported the concept of ontology...
The proposed functional data service framework provides a way of making heterogeneous data sources more accessible to applications and manageable to developers by integrating a service-oriented architecture, a functional data model, the semantic Web, and other related technologies. With the supports of the proposed mechanism, different data sources with their supporting programming technologies are...
We designed a semantic enabled metadata framework using ontology for multi-disciplinary and multi-institutional large scale scientific data sets in a Data Grid setting. There are two main issues we intend to address: data integration for semantically and physically heterogeneous distributed knowledge stores, and semantic reasoning for data verification and inference in such a setting. This framework...
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