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An XPath-based OWL storage model for effective ontology management in Semantic Web environment

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

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VQT:value cardinality and query pattern based R-schema to XML schema translation with implicit referential integrity

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2008年第12期9卷 1694-1707页

作者： jinhyung kim Dongwon JEONG Doo-Kwon BAIK Department of Computer Science and Engineering Korea UniversitySeoul 136-713Korea Department of Informatics and Statistics Kunsan National UniversityKunsan 573-701Korea

In this paper,we propose a new relational schema (R-schema) to XML schema translation algorithm, VQT, which 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 being incorrectly converted 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.

关键词： Value cardinality Query pattern Relational schema XML schema Implicit referential integrity relations Explicit referential integrity

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Improved Hybrid Swarm Intelligence for Optimizing the Energy in WSN

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Computer Systems Science & Engineering 2023年第8期46卷 2527-2542页

作者： Ahmed Najat Ahmed jinhyung kim Yunyoung Nam Mohamed Abouhawwash Department of Computer Engineering Lebanese French UniversityErbil44001Iraq B LIFE Inc. Suwon16463Korea Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

In this current century,most industries are moving towards automation,where human intervention is dramatically *** revolution leads to industrial revolution 4.0,which uses the Internet of Things(IoT)and wireless sensor networks(WSN).With its associated applications,this IoT device is used to compute the receivedWSN data from devices and transfer it to remote locations for *** general,WSNs,the gateways are a long distance from the base station(BS)and are communicated through the gateways nearer to the *** the gateway,which is closer to the BS,energy drains faster because of the heavy load,which leads to energy issues around the *** the sensors are battery-operated,either replacement or recharging of those sensor node batteries is not possible after it is deployed to their corresponding *** that situation,energy plays a vital role in sensor *** reducing the network energy consumption and increasing the network lifetime,this paper proposed an efficient cluster head selection using Improved Social spider Optimization with a Rough Set(ISSRS)and routing path selection to reduce the network load using the Improved Grey wolf optimization(IGWO)approach.(i)Using ISSRS,the initial clusters are formed with the local nodes,and the cluster head is chosen.(ii)Load balancing through routing path selection using *** simulation results prove that the proposed optimization-based approaches efficiently reduce the energy through load balancing compared to existing systems in terms of energy efficiency,packet delivery ratio,network throughput,and packet loss percentage.

关键词： Wireless sensor networks(WSN) internet of things(IoT) energy efficiency load balance sensors grey wolf optimization social spider optimization

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Compositional modeling and simulation of dimethyl ether (DME)-enhanced waterflood to investigate oil mobility improvement

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Petroleum Science 2018年第2期15卷 297-304页

作者： jinhyung Cho Tae Hong kim Kun Sang Lee Department of Earth Resources and Environmental Engineering Hanyang University

Dimethyl ether （DME） is a widely used industrial compound, and Shell developed a chemical EOR technique called DME- enhanced waterflood （DEW）. DME is applied as a miscible solvent for EOR application to enhance the performance of conventional waterflood. When DME is injected into the reservoir and contacts the oil, the first-contact miscibility process occurs, which leads to oil swelling and viscosity reduction. The reduction in oil density and viscosity improves oil mobility and reduces residual oil saturation, enhancing oil production. A numerical study based on compositional simulation has been developed to describe the phase behavior in the DEW model. An accurate compositional model is imperative because DME has a unique advantage of solubility in both oil and water. For DEW, oil recovery increased by 34% and 12% compared to conventional waterflood and CO2 flood, respectively. Compositional modeling and simulation of the DEW process indicated the unique solubility effect of DME on EOR performance.

关键词： Dimethyl ether (DME) DME-enhanced waterflood (DEW) Solubility Oil mobility

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