A Semantic Web Environment for Digital Shapes Understanding

Precision is selected unwillingly by human being when dealing with imprecise objects because of the limitation of human cognitive ability, which deviates from the substance of the processed object when it gets the feasible way of solution. Nowadays, in terms of the research in the Ontology and the Semantic Web, the time for the transformation from the “precise phase” to the “imprecise phase” is ripe. The interoperability among ontologies is seriously blocked by the heterogeneity of ontologies constructed under distributed environment. In this case, Ontology merging in the same domain is the most effective method to solve ontology heterogeneity. Firstly, the improved fuzziness and the R-improved roughness are respectively defined and verified as the more efficient measure way for the fuzziness and roughness. Secondly, a composite appraisal method of fuzzy-rough relevancy in combination of the fuzzy set theory and the rough set theory is proposed, which can serve as the basis of the inquiry and reasoning of the imprecise ontology, the transformation reference of the fuzzy roughness set or the rough fuzziness set. Lastly, by employing semantic bridge generator and conflict processor, a novel multiple-mapping-based imprecise ontology merging framework is proposed. The example verification reveals that both the imprecise ontology merging efficiency can be improved and the merging source imprecise ontologies into object imprecise ontology can be done automatically under the semantic web environment.

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Exploiting Concept Mapping in a Semantic Web Environment

Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05) ◽

10.1109/icalt.2005.146 ◽

2005 ◽

Cited By ~ 1

Author(s):

T. Giouvanakis ◽

G. Fragidis ◽

E. Kehris ◽

H. Samaras

Keyword(s):

Semantic Web ◽

Concept Mapping ◽

Web Environment

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A Semantic Query Method for Deep Web

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.347-350.2559 ◽

2013 ◽

Vol 347-350 ◽

pp. 2559-2563

Author(s):

Hao Jiang ◽

Wen Ju Liu ◽

Li Li Lu

Keyword(s):

Semantic Web ◽

Software Architecture ◽

Deep Web ◽

New Method ◽

Web Data ◽

Semantic Query ◽

Web Environment ◽

Query Result ◽

Complete Set ◽

Sql Query

Based on the idea of "functionality-centric", this paper proposes a complete set of oriented semantic query methods for Deep Web, builds up the relevant software architecture, provides a new method for full use of Deep Web data resources in semantic web environment through describing the establishment of the semantic environment, re-writing the SPARQL-to-SQL query, semantic packaging of semantic query result, and the architecture of semantic query services.

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Information portal of E-learning system in Semantic Web environment

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems ◽

10.1109/idaacs.2011.6072846 ◽

2011 ◽

Cited By ~ 2

Author(s):

Taras Lendyuk ◽

Sergey Rippa

Keyword(s):

Semantic Web ◽

Learning System ◽

Information Portal ◽

Web Environment ◽

E Learning

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A semantic web environment for components

The Knowledge Engineering Review ◽

10.1017/s0269888909000137 ◽

2009 ◽

Vol 24 (1) ◽

pp. 59-75 ◽

Cited By ~ 3

Author(s):

Hai H. Wang ◽

Jing Sun

Keyword(s):

Semantic Web ◽

Software Reuse ◽

Scale Up ◽

Automated Analysis ◽

Component Model ◽

Tool Support ◽

Development Environment ◽

Web Environment ◽

Component Based Development ◽

Ontology Language

AbstractComponent-based development (CBD) has become an important emerging topic in the software engineering field. It promises long-sought-after benefits such as increased software reuse, reduced development time to market and, hence, reduced software production cost. Despite the huge potential, the lack of reasoning support and development environment of component modeling and verification may hinder its development. Methods and tools that can support component model analysis are highly appreciated by industry. Such a tool support should be fully automated as well as efficient. At the same time, the reasoning tool should scale up well as it may need to handle hundreds or even thousands of components that a modern software system may have. Furthermore, a distributed environment that can effectively manage and compose components is also desirable. In this paper, we present an approach to the modeling and verification of a newly proposed component model using Semantic Web languages and their reasoning tools. We use the Web Ontology Language and the Semantic Web Rule Language to precisely capture the inter-relationships and constraints among the entities in a component model. Semantic Web reasoning tools are deployed to perform automated analysis support of the component models. Moreover, we also proposed a service-oriented architecture (SOA)-based semantic web environment for CBD. The adoption of Semantic Web services and SOA make our component environment more reusable, scalable, dynamic and adaptive.

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Beyond VIAF

Information Technology and Libraries ◽

10.6017/ital.v40i2.12959 ◽

2021 ◽

Vol 40 (2) ◽

Author(s):

Carlo Bianchini ◽

Stefano Bargioni ◽

Camillo Carlo Pellizzari di San Girolamo

Keyword(s):

Quantitative Analysis ◽

Semantic Web ◽

Theoretical Approach ◽

Quantitative Data ◽

Reciprocal Relationship ◽

Qualitative Comparison ◽

Web Environment ◽

Fundamental Goal ◽

Double Approach

This paper aims to investigate the reciprocal relationship between VIAF® and Wikidata and their possible roles in the semantic web environment. It deals with their data, their approach, their domain, and their stakeholders, with particular attention to identification as a fundamental goal of Universal Bibliographic Control. After examining interrelationships among VIAF, Wikidata, libraries and other GLAM institutions, a double approach is used to compare VIAF and Wikidata: first, a quantitative analysis of VIAF and Wikidata data on personal entities, presented in eight tables; and second, a qualitative comparison of several general characteristics, such as purpose, scope, organizational and theoretical approach, data harvesting and management (shown in table 9). Quantitative data and qualitative comparison show that VIAF and Wikidata are quite different in their purpose, scope, organizational and theoretical approach, data harvesting, and management. The study highlights the reciprocal role of VIAF and Wikidata and its helpfulness in the worldwide bibliographical context and in the semantic web environment and outlines new perspectives for research and cooperation.

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