• The KIPS Transactions:PartC
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• v.12C no.4 s.100
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• pp.603-608
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• 2005

Disk I/O is a major performance bottleneck of web proxy server. Today's most web proxy sowers are design to run on top of a general purpose file system. But general purpose file system can not efficiently handle web cache workload, small files, leading to the performance degradation of entire web proxy servers. In this paper we evaluate the performance potential of raw disk to reduce disk I/O overhead of web proxy servers. To show the performance potential of raw disk, we design a storage management system called Block-structured Storage Management System (BSMS). And we also actually implement web proxy server that incorporate BSMS in Squid. Comprehensive experimental evaluations show that raw disk can be a good solution to improve disk I/O performance significantly for web proxy servers.

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.55-66
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• 2016

A local storage of HTML5 is a Web Storage, which is stored permanently on a local computer in the form of files. The contents of the storage can be easily accessed and modified because it is stored as plaintext. Moreover, because the internet browser classifies the local storages of each domain using file names, the malicious attacker can abuse victim's local storage files by changing file names. In the paper, we propose a scheme to maintain the integrity and the confidentiality of the local storage's source domain and source device. The key idea is that the client encrypts the data stored in the local storage with cipher key, which is managed by the web server. On the step of requesting the cipher key, the web server authenticates whether the client is legal source of local storage or not. Finally, we showed that our method can detect an abnormal access to the local storage through experiments according to the proposed method.

• Electronics and Telecommunications Trends
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• v.37 no.5
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• pp.54-61
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• 2022

Data are an essential resource for artificial intelligence-based services. It is considered a vital resource in the 4th industrial revolution era based on artificial intelligence. However, it is well-known that only a few giant platforms that provide most of the current online services tend to monopolize personal data. Therefore, some governments have started enforcing personal data protection and mobility regulations to address this problem. Additionally, there are some notable activities from a technical perspective, and Web 3.0 is one of these. Web 3.0 focuses on distributed architecture to protect people's data sovereignty. An important technical challenge of Web 3.0 is how to facilitate the personal data storage technology to provide valuable data for new data-based services while providing data for producers' sovereignty. This study reviews some currently proposed personal data storage technologies. Furthermore, we discuss the domestic countermeasures from MyData perspective, which is a typical project for data-based businesses in Korea.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.5
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• pp.451-457
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• 2005

In spite of the development of computers, the present state that a lot of electronic documents are overflowing makes it more difficult for us to get appropriate information. Therefore, it's more important to focus on getting meaningful information than processing the data quickly In this context, Semantic Web enables an intelligent processing by adding semantic metadata on yow web documents. Also, as the Semantic Web grows, the knowledge resources as well as web resources are getting more and more importance. In this paper, we propose an OWL storage system aiming at an intelligent Processing by adding semantic metadata on your web documents, plus a system aiming at an OWL-QL Query Processing.

• Proceedings of the Korea Database Society Conference
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• 1998.09a
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• pp.3-48
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• 1998

Drivers for Increased Need for Digital Content ■ Falling cost of computing -Multimedia capability at reasonable cost ■ Decrease in digital storage cost -Magnetic, optical and tape -Cost of digital storage decreases 40％ / year ■ World Wide Web users explosion and falling cost of communications -17M web servers(1/97) -Number of users doubles every 6 months - Network bandwidth triples every year(omitted)

• Journal of Information Processing Systems
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• v.5 no.1
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• pp.11-18
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• 2009

As well as providing various APIs for the development of inference engines and storage models, Jena is widely used in the development of systems or tools related with Web ontology management. However, Jena still has several problems with regard to the development of real applications, one of the most important being that its query processing performance is unacceptable. This paper proposes a storage model to improve the query processing performance of the original Jena storage. The proposed storage model semantically classifies OWL elements, and stores an ontology in separately classified tables according to the classification. In particular, the hierarchical knowledge is managed, which can make the processing performance of inferable queries enhanced and stores information. It enhances the query processing performance by using hierarchical knowledge. For this paper an experimental evaluation was conducted, the results of which showed that the proposed storage model provides a improved performance compared with Jena.

• Journal of Information Science Theory and Practice
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• v.2 no.4
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• pp.61-76
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• 2014

The exponential growth of information on the web far exceeds the capacity of present day information retrieval systems and search engines, making information integration on the web difficult. In order to overcome this, semantic web technologies were proposed by the World Wide Web Consortium (W3C) to achieve a higher degree of automation and precision in information retrieval systems. Semantic web, with its promise to deliver machine understanding to the traditional web, has attracted a significant amount of research from academia as well as from industries. Semantic web is an extension of the current web in which data can be shared and reused across the internet. RDF and ontology are two essential components of the semantic web architecture which support a common framework for data storage and representation of data semantics, respectively. Ontologies being the backbone of semantic web applications, it is more relevant to study various approaches in their application, usage, and integration into web services. In this article, an effort has been made to review the research work being undertaken in the area of design and development of ontology supported information systems. This paper also briefly explains the emerging semantic web technologies and standards.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.85-101
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• 2008

The semantic web is taken as next generation standards of information exchange on the internet to overcome the limitations of the current web. To utilize the information on the semantic web, tools are required the functionality of query search and reasoning for the ontology. However, most of semantic web management tools cannot efficiently support the search for the complex query because they apply Triple-based storage structure about RDF metadata. We design the storage structure of the ontology in corresponding with the structure of ontology data and develop the search system(SMART-DLTriple) to support complex query search efficiently in this research. The performance of the system using new storage structure is evaluated to compare with the popular semantic web management systems. The proposed method and system make a contribution to enhancement of a practical ontology reasoning systems due to improved performance of the ontology search.

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.291-304
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• 2007

The Resource Description Framework(RDF) utilized for the representation and storage of information in various application, plays an important role in the Semantic Web, the next generation web. A number of RDF systems have been implemented for retrieval of RDF metadata. However, they do not provide the sufficient performance for the querying function of practical application system. In this paper we describe the design and implementation of RDF system, SMARTTriple, which has a RDF storage structures using index map and provides the better performance than the previous systems. We present a performance comparison results with the well-known RDF systems. SMARTTriple will be a great contribution to the research and development of Semantic Web application.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.363-365
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• 2004

Ontology is an essential component of the semantic web and it continue to change and evolve. We study a set of changes based on domain changes, changes in conceptualization, metadata changes, and time dimension. Ontology versioning brings about massive amount of versions to be stored and maintained. We present several storage policies and conduct a set of experiments to compare the performance of each storage policies.