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Ontology-Based Model for Software Resources Interoperability  [PDF]
Bo Ding,Li-juan Sun
Information Technology Journal , 2009,
Abstract: In this study, we propose an ontology-based framework to provide an integrated view, which could integrate various software resources and realize semantic interoperability between different software resources. Ontologies are divided into shared ontology and domain ontology. The design of shared ontology is described in detail. The shared ontology which has explicit ontological semantics, implements the uniform representation of heterogeneous information and helps to shield the heterogeneity of software resources systematically. The domain ontology is a domain-specific functional design ontology repository, in which, the invoking functions of the specific platform is encapsulated. The Collaborative Functional Design Environment (CFDE) is built through the shared ontology and the domain ontology. The CFDE facilitates the semantic interoperability among diverse software resources, which provides more software resources and better service to users.
Review on the Methods and Tools for Ontology Integration
本体集成方法和工具综述

Yu Xiaofan Wang Xiaoyue Bai Rujiang,
于晓繁
,王效岳,白如江

现代图书情报技术 , 2011,
Abstract: Ontology integration is a process that can eliminate Ontology heterogeneous, so as to achieve the highest level of semantic communication and semantic integration, and finally achieve knowledge reuse and interoperability. The paper reviews the four main methods and the five main tools for Ontology integration, and gives some comparative analysis.
Construction of Cooperative Web Courseware Authoring System Based on Ontology
基于本体技术构建的协同式网络课件编辑系统

CHENG Jing,QIU Yu-Hui,YANG Ming,
程静
,邱玉辉,杨明

计算机科学 , 2007,
Abstract: Domain ontology is the key technology to resolve the semantic interoperability in heterogeneous systems.In the paper,we advance a model of domain ontology based on cooperative courseware authoring system,in which knowl- edge concepts can associate with learning resources and courseware documents.And we use TRIPLE as an ontology language to set up the domain ontology model,which can be transformed to RDF easily,and has the powerful reason- ing capability.Based on the domain ontology,a semantic conflict elimination model is put forward,which is the foun- dation to resolve semantic confliction in authoring courseware cooperatively.
Standard Part Library Resource Sharing Based on Cellular Ontology
基于细胞元本体的标准件库资源共享研究

DING Bo,SUN Li-juan,LIU Xian-guo,
丁博
,孙立镌,刘宪国

计算机科学 , 2010,
Abstract: Aimed at the problems that the standard part library does not support heterogeneous CAD systems and the incompletion of the data information,a standard part library resource sharing framework based on cellular ontology was proposed.The cellular ontology model used Web Ontology Language (OWL) to develop the cellular ontology model.Using semantic mapping between legacy ontology and cellular ontology built the uniform representation of product model data,exchanged data information according to the cell,shielde...
IMPROVE BUSINESS INTEROPERABILITY THROUGH CONTEXT-BASED ONTOLOGY RECONCILIATION
Catarina Ferreira Da Silva,Patrick Hoffmann,Parisa Ghodous
International Journal of Electronic Business Management , 2011,
Abstract: In collaborative environment, providing flexible interoperation between heterogeneous knowledge-based software applications is critical for efficiency reasons, particularly in the context of unanticipated business collaborations. It is an objective pursued by ongoing research efforts on semantic interoperability: one expects that describing information within ontologies and reconciling these ontologies is sufficient to reach seamless information exchange. However, limits of ontology model and development result in lack of reliability of agreement between ontologies, thus reconciliation of ontologies is often pragmatically inconsistent. This paper proposes a methodology to determine what is contextual information, how to model and use it. Then, this methodology is applied to the reconciliation of ontologies, in the situation of unanticipated collaborations across organizations and between collaborators. The outcome is a context-based system that provides an evaluation of the pertinence of data associated with a concept, based on three distinct kinds of contextual information: (1) user’s domains and tasks, to personalize the search interface according to user’s needs; (2) perspectives used to annotate ontology concepts, as means for disambiguation of the pragmatic meaning of concepts; (3) the task for which the data is intended to, as a way to evaluate data relevance to fill the interoperability need.
The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions
Bernard de Bono, Robert Hoehndorf, Sarala Wimalaratne, George Gkoutos, Pierre Grenon
BMC Research Notes , 2011, DOI: 10.1186/1756-0500-4-313
Abstract: We outline the efforts of the PPME communities to achieve automated semantic interoperability for clinical resource documentation in collaboration with the RICORDO project. Current community practices in resource documentation and knowledge management are overviewed. Furthermore, requirements and improvements sought by the PPME communities to current documentation practices are discussed. The RICORDO plan and effort in creating a representational framework and associated open software toolkit for the automated management of PPME metadata resources is also described.RICORDO is providing the PPME community with tools to effect, share and reason over clinical resource annotations. This work is contributing to the semantic interoperability of DMRs through ontology-based annotation by (i) supporting more effective navigation and re-use of clinical DMRs, as well as (ii) sustaining interoperability operations based on the criterion of biological similarity. Operations facilitated by RICORDO will range from automated dataset matching to model merging and managing complex simulation workflows. In effect, RICORDO is contributing to community standards for resource sharing and interoperability.Data and model resources (DMRs) in biomedical research and practice cover a wide range of electronic resource types. In the medical regulatory and clinical domain, for example, drug development trials and patient management practice generate considerable amounts of free-text notes, investigative, analytic and interventional results in tabulated form, various types of image data, mathematical models, as well as associated training and teaching material. The output of basic biological research (e.g. drug discovery, tissue biophysics, genomics) is comparably broad and heterogeneous.The biomedical community is becoming increasingly aware of the importance of DMR standardization, sharing and publication [1]. In turn, a number of funding bodies have established relevant policies in support of
Building Requirements Semantics for Networked Software Interoperability  [PDF]
Bin Wen, Keqing He, Jian Wang
Journal of Software Engineering and Applications (JSEA) , 2010, DOI: 10.4236/jsea.2010.32016
Abstract: Naturally, like the web, integrated software systems in Internet will have to be distributed and heterogeneous. To im-prove the interoperability of services for SAAS, it is crucial to build requirements semantics that will cross the entire lifecycle of services especially on requirements stage. In this paper, a requirements semantics interoperability extend-ing approach called Connecting Ontologies (CO) that will act as semantics information carrier designing to facilitate the requirements identification and services composition is proposed. Semantic measurement of Chinese scenario is explored. By adopting the approach, a series of tools support for transport domain are developed and applied based on CO and DPO (Domain Problem Ontology) to enforce requirements engineering of networked software efficiently.
Extension Information-Knowledge-Strategy System for Semantic Interoperability
Weihua Li,Chunyan Yang
Journal of Computers , 2008, DOI: 10.4304/jcp.3.8.32-39
Abstract: This paper discusses the issue of information interoperability. In view of the problems that it is difficult to solve the semantic conflicts in information interoperability, the paper shows how to build the extension ontology model for information interoperability based on Extenics information- knowledge-Strategy system. Take advantage of Extenics’ feature of contradiction problem solving, the extension system can eliminate semantic conflicts by extension transformation method. It overcomes the drawbacks of current ontology models that lacks transformation mechanisms, therefore supports information interoperability effectively. The paper presents examples of semantic interoperability process with the extension system. It describes some implement technologies of the extension system.
Semantic Enterprise Optimizer and Coexistence of Data Models  [PDF]
P. A. Sundararajan,Anupama Nithyanand,S.V. Subrahmanya
Advances in Computer Science : an International Journal , 2012,
Abstract: The authors propose a semantic ontology–driven enterprise data–model architecture for interoperability, integration, and adaptability for evolution, by autonomic agent-driven intelligent design of logical as well as physical data models in a heterogeneous distributed enterprise through its life cycle. An enterprise-standard ontology (in Web Ontology Language [OWL] and Semantic Web Rule Language [SWRL]) for data is required to enable an automated data platform that adds life-cycle activities to the current Microsoft Enterprise Search and extend Microsoft SQL Server through various engines for unstructured data types, as well as many domain types that are configurable by users through a Semantic- query optimizer, and using Microsoft Office SharePoint Server (MOSS) as a content and metadata repository to tie all these components together.
SEMANTIC WEB IN MEDICAL INFORMATION SYSTEMS  [PDF]
Prashish Rajbhandari,Rishi Gosai,Rabi C Shah,Pramod KC
International Journal of Advances in Engineering and Technology , 2012,
Abstract: The complex and heterogeneous storage architecture of hospitals makes it taxing to extract and collect useful information from the data repositories. In this paper we propose the application of an ontology-based method using the concepts of Semantic Web for obtaining interoperability between hospitals in the medical information system domain. We aim to annotate data inRelation Description Format (RDF)/Extensible Markup Language (XML) via common ontology, then interlink the available data from various medical institutions and consequently apply data mining to find meaningful results. The unified data will be stored at a central server accessible by all hospitals
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