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RDF /RDF-S Providing Framework Support to OWL Ontologies
"... Abstract — It is important to represent the contents of WWW in a structure which can render interpretability to both human and machine and make the WWW, semantic. Thus some taxonomy is needed to make representations of the web contents which can be machine readable and usable.This taxonomy can be th ..."
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Abstract — It is important to represent the contents of WWW in a structure which can render interpretability to both human and machine and make the WWW, semantic. Thus some taxonomy is needed to make representations of the web contents which can be machine readable and usable.This taxonomy can be thought of as ontology. This paper describes how RDF and RDF-S can act as a basic support to Web ontology language (OWL) based Ontology and demonstrate the hierarchical and structural frame work of an OWL ontology there by enabling the machine interpretability aspect of the ontology and rendering support to the Semantic web Keywords — RDF(Resources Description Framework), RDF-S(Resources Description Framework-Schema), Ontology, OWL (web ontology language).
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"... computational models, semantic annotations and simulation experiments in a graph database ..."
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computational models, semantic annotations and simulation experiments in a graph database
Toward Generic, Immersive, and Collaborative Solutions to the Data Interoperability Problem which Target End-Users
, 2009
"... In this paper, we describe our vision of a “just-in-time ” initiative to solve the Data Interoperability Problem (a.k.a. INTEROP.) We provide an architectural overview of our initiative which draws upon existing technologies to develop an immersive and collaborative approach which aims at empowering ..."
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In this paper, we describe our vision of a “just-in-time ” initiative to solve the Data Interoperability Problem (a.k.a. INTEROP.) We provide an architectural overview of our initiative which draws upon existing technologies to develop an immersive and collaborative approach which aims at empowering data stakeholders (e.g., data producers and data consumers) with integrated tools to interact and collaborate with each other while directly manipulating visual representations of their data in an immersive environment (e.g., implemented via Second Life.) The semantics of these visual representations and the operations associated with the data are supported by ontologies defined using the Common Logic Framework (CL). Data operations gestured by the stakeholders, through their avatars, are translated to a variety of generated resources such as multi-language source code, visualizations, web pages, and web services. The generality of the approach is supported by a plug-in architecture which allows expert users to customize tasks such as data admission, data manipulation in the immersive world, and automatic generation of resources. This approach is designed with a mindset aimed at enabling stakeholders from
A Translation Algorithm for Effective RDB-to-XML Schema Conversion Considering Referential Integrity Information *
"... In this paper, we propose a new relational schema (R-schema) to XML Schema translation algorithm that analyzes the cardinality between data values and patterns of user queries to resolve the implicit referential integrity issue. Many translation methods have been developed taking into account struct ..."
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In this paper, we propose a new relational schema (R-schema) to XML Schema translation algorithm that analyzes the cardinality between data values and patterns of user queries to resolve the implicit referential integrity issue. Many translation methods have been developed taking into account structural and/or semantic aspects. However, earlier methods have considered only the explicit referential integrity specified by the R-schema during translation or partially reflect the implicit referential integrity. It causes several problems such as incorrect translations, abnormal relational model transitions, and so on. In addition, many conventional translation algorithms support XML document type declaration (DTD) as the final translation result. However, it is insufficient to exactly represent the information of the R-schema. The VQT algorithm analyzes the value cardinality and user query patterns and extracts the implicit referential integrities by using the cardinality property of foreign key constraints between columns and the equi-join characteristic in user queries. The VQT algorithm can apply the extracted implied referential integrity relation information to the R-schema and create an XML Schema as the final result. Therefore, the VQT algorithm prevents the R-schema from incorrectly converting into the XML Schema, and it richly and powerfully represents all the information in the R-schema by creating an XML Schema as the translation result on behalf of the XML DTD.
