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Summarizing Vocabularies in the Global semantic web

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Journal of Computer Science & Technology 2009年第1期24卷 165-174页

作者：张祥程龚葛唯益瞿裕忠 School of Computer Science and Engineering Southeast University

In the semantic web, vocabularies are defined and shared among knowledge workers to describe linked data for scientific, industrial or daily life usage. With the rapid growth of online vocabularies, there is an emergent need for approaches helping users understand vocabularies quickly. In this paper, we study the summarization of vocabularies to help users understand vocabularies. Vocabulary summarization is based on the structural analysis and pragmatics statistics in the global semantic web. Local Bipartite Model and Expanded Bipartite Model of a vocabulary are proposed to characterize the structure in a vocabulary and links between vocabularies. A structural importance for each RDF sentence in the vocabulary is assessed using link analysis. Meanwhile, pragmatics importance of each RDF sentence is assessed using the statistics of instantiation of its terms in the semantic web. Summaries are produced by extracting important RDF sentences in vocabularies under a re-ranking strategy. Preliminary experiments show that it is feasible to help users understand a vocabulary through its summary.

关键词： semantic web vocabulary summarization RDF pragmatics

An XPath-based OWL storage model for effective ontology management in semantic web environment

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第6期10卷 843-857页

作者： Jinhyung KIM Dongwon JEONG Doo-kwon BAIK Department of Computer Science and Engineering Korea University Department of Informatics and Statistics Kunsan National University

With the rapid growth of the web, the volume of information on the web is increasing exponentially. However, information on the current web is only understandable to humans, and this makes precise information retrieval difficult. To solve this problem, the semantic web was proposed. We must use ontology languages that can assign data the semantics for realizing the semantic web. One of the representative ontology languages is the web ontology language OWL, adopted as a recommen-dation by the World-Wide web Consortium (W3C). OWL includes hierarchical structural information between classes or prop-erties. Therefore, an efficient OWL storage model that considers a hierarchical structure for effective information retrieval on the semantic web is required. In this paper we suggest an XPath-based OWL storage (XPOS) model, which includes hierarchical information between classes or properties in XPath form, and enables intuitive and effective information retrieval. Also, we show the comparative evaluation results for the performance of the XPOS model, Sesame, and the XML file system-based storage (XFSS) model, in terms of query processing and ontology updating.

关键词： XPath web ontology language Hierarchical structure Ontology storage semantic web

Using semantic web Technologies to Improve the Extract Transform Load Model

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Computers, Materials & Continua 2021年第8期68卷 2711-2726页

作者： Amena Mahmoud Mahmoud Y.Shams O.M.Elzeki Nancy Awadallah Awad Department of Computer Science Kafrelshiekh UniversityKafrelshiekhEgypt Department of Machine Learning Kafrelsheikh UniversityKafrelshiekhEgypt Department of Computer Science Mansoura UniversityMansouraEgypt Department of Computer and Information Systems Sadat Academy for Management SciencesCairoEgypt

semantic web(SW)provides new opportunities for the study and application of big data,massive ranges of data sets in varied formats from multiple *** studies focus on potential SW technologies for resolving big data problems,such as structurally and semantically heterogeneous data that result from the variety of data formats(structured,semi-structured,numeric,unstructured text data,email,video,audio,stock ticker).SW offers information semantically both for people and machines to retain the vast volume of data and provide a meaningful output of unstructured *** the current research,we implement a new semantic Extract Transform Load(ETL)model that uses SW technologies for aggregating,integrating,and representing data as linked ***,geospatial data resources are aggregated from the internet,and then a semantic ETL model is used to store the aggregated data in a semantic model after converting it to Resource Description Framework(RDF)format for successful integration and *** principal contribution of this research is the synthesis,aggregation,and semantic representation of geospatial data to solve problems.A case study of city data is used to illustrate the semantic ETL model’s *** results show that the proposed model solves the structural and semantic heterogeneity problems in diverse data sources for successful data aggregation,integration,and representation.

关键词： semantic web big data ETL model linked data geospatial data

Towards knowledge-based geovisualisation using semantic web technologies:a knowledge representation approach coupling ontologies and rules

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International Journal of Digital Earth 2020年第9期13卷 976-997页

作者： Weiming Huang Lars Harrie Department of Physical Geography and Ecosystem Science Lund UniversityLundSweden

Geovisualisation is a knowledge-intensive art in which both providers and users need to possess a wide range of *** syntactic approaches to presenting visualisation information lack semantics on the one hand,and on the other hand are too *** limitations impede the transfer,interpretation,and reuse of the geovisualisation *** this paper,we propose a knowledge-based approach to formally represent geovisualisation knowledge in a semantically-enriched and machine-readable manner using semantic web ***,we represent knowledge regarding cartographic scale,data portrayal and geometry source,which are three key aspects of geovisualisation in the contemporary web mapping era,coupling ontologies and semantic *** knowledge base enables inference for deriving the corresponding geometries and portrayals for visualisation under different conditions.A prototype system is developed in which geospatial linked data are used as underlying data,and some geovisualisation knowledge is formalised into a knowledge base to visualise the data and provide rich semantics to *** proposed approach can partially form the foundation for the vision of web of knowledge for geovisualisation.

关键词： Geovisuaisation semantic web knowledge representation ontologies semantic rules

How to derive a geovisualization from an application data model: an approach based on semantic web technologies

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International Journal of Digital Earth 2021年第7期14卷 874-898页

作者： Matthieu Viry Marlène Villanova-Oliver Univ.Grenoble Alpes CNRSGrenoble INP(Institute of Engineering Univ.Grenoble Alpes)LIGGrenobleFrance

While ontological modelling and semantic web technologies are sometimes used to describe knowledge domains with a spatial component,there is still a lack of semantics to describe how to present this knowledge geovisually to the end user and how to automatize the *** this paper,we first present vocabularies to describe at a high level the elements that make up a *** then propose a method that describes at a semantic level how to obtain a geovisualization from an existing data *** method is based on our vocabularies and on a set of semantic rules encoding rich and complex operations on *** leads to the derivation of ontological knowledge,ready to be exploited to automate the creation of a *** method is implemented in a framework that uses semantic web *** singularity and the strength of our proposal is that it enables to describe a geovisualization through a RDF specification file,which once loaded in our system makes the geovisualization directly available for use from a web *** result is obtained by extending a priori an application data model with ad hoc geovisualization semantics features and rules.

关键词： Knowledge representation semantic web geovisualization ontologies rule-based system

Evaluation of Multistrategy Classifiers for Heterogeneous Ontology Matching On the semantic web

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Journal of Donghua University(English Edition) 2005年第2期22卷 55-61页

作者：潘乐云刘晓强马范援 Department of Computer Science and Engineering Shanghai JiaoTong University 200030 Shanghai China Computer Center Donghua University 200051 Shanghai China

On the semantic web, data interoperability and ontology heterogeneity are becoming ever more important issues. To resolve these problems, multiple classification methods can be used to learn the matching between ontologies. The paper uses the general statistic classification method to discover category features in data instances and use the first-order learning algorithm FOIL to exploit the semantic relations among data instances. When using multistrategy learning approach, a central problem is the evaluation of multistrategy classifiers. The goal and the conditions of using multistrategy classifiers within ontology matching are different from the ones for general text classification. This paper describes the combination rule of multiple classifiers called the Best Outstanding Champion, which is suitable for heterogeneous ontology mapping. On the prediction results of individual methods, the method can well accumulate the correct matching of alone classifier. The experiments show that the approach achieves high accuracy on real-world domain.

关键词： Ontology Matching Multistrategy Classifiers Matching Committee semantic web

An Automatically Filtering Blacklist Model of Social Network Based on semantic web

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Journal of Harbin Institute of Technology(New Series) 2014年第6期21卷 67-73页

作者： Le Ha Guo-Zi Sun College of Computer Nanjing University of Posts & Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

According to the features of the semantic web technology,it is very suitable to solve the security issue of the current social network ***,in this paper,it extends the existing ontology model of the social network with some relevant classes,and introduces a brand new ontology which is used to represent the malicious *** introducing these models,a method of identifying the malicious message is ***,the experiments and simulations analyze the feasibility of the whole *** results validate that the malicious users can be automatically filtered,and some worthy digital evidence can be effectively provided to forensic investigators.

关键词： social network semantic web ontology OWL digital evidence

Enhancing the functionality of augmented reality using deep learning,semantic web and knowledge graphs:A review

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Visual Informatics 2020年第1期4卷 32-42页

作者： Georgios Lampropoulos Euclid Keramopoulos Konstantinos Diamantaras Department of Information and Electronic Engineering International Hellenic UniversityThessalonikiGreece

The growth rates of today’s societies and the rapid advances in technology have led to the need for access to dynamic,adaptive and personalized information in real *** reality provides prompt access to rapidly flowing information which becomes meaningful and‘‘alive’’as it is embedded in the appropriate spatial and time *** reality provides new ways for users to interact with both the physical and digital world in real ***,the digitization of everyday life has led to an exponential increase of data volume and consequently,not only have new requirements and challenges been created but also new opportunities and potentials have *** graphs and semantic web technologies exploit the data increase and web content representation to provide semantically interconnected and interrelated information,while deep learning technology offers novel solutions and applications in various *** aim of this study is to present how augmented reality functions and services can be enhanced when integrating deep learning,semantic web and knowledge graphs and to showcase the potentials their combination can provide in developing contemporary,user-friendly and user-centered intelligent ***,we briefly describe the concept of augmented reality and mixed reality and present deep learning,semantic web and knowledge graphs ***,based on our literature review,we present and analyze related studies regarding the development of augmented reality applications and systems that utilize these ***,after discussing how the integration of deep learning,semantic web and knowledge graphs into augmented reality enhances the quality of experience and quality of service of augmented reality applications to facilitate and improve users’everyday life,conclusions and suggestions for future research and studies are given.

关键词： Augmented reality Machine learning Deep learning semantic web Knowledge graph Human computer interaction

A logical foundation for the semantic web

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Science in China(Series F) 2005年第2期48卷 161-178页

作者： SHIZhongzhi DONGMingkai JIANGYuncheng ZHANGHaijun KeyLaboratoryofIntelligentInformationProcessing InstituteofComputingTechnologyChineseAcademyofSciencesBeijing100080China

The current research progresses and problems of the semantic web are analyzed in this paper, and the insufficiency of using description logic to act as logical foundation for the semantic web is analyzed too. According to the characteristics and requirement of the semantic web, a kind of new dynamic description logic (DDL) framework is presented. The representation and reasoning of static knowledge and dynamic knowledge are integrated in this framework. Especially, a kind of action description method is proposed, and according to description logic theory, the action semantics is described, so DDL is a kind of formal logical framework which can process static knowledge and dynamic knowledge. The DDL has clear and formally defined semantics. It provides decidable reasoning services, and it can support effective representation and reasoning of the static knowledge, dynamic process and running mechanism (realization and subsumption relation of action). Therefore, the DDL provides reasonable logic foundation for the semantic web, and overcomes the insufficiency of using description logic to act as logical foundation for the semantic web.

关键词： semantic web description logic dynamic description logic logical foundation.