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Prof. Minsoo Lee
Ewha Womans University

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Research Keywords & Expertise

0 Big Data
0 Deep Learning
0 Sensor Data Analysis
0 Recommendation and personalization systems
0 Database and data mining

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Short Biography

M. Lee received his PhD degree from the University of Florida, and his MS and BS from the Department of Computer Science and Engineering, Seoul National University, in 2000, 1995, 1992, respectively. He is currently a professor at the Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea, since 2002. He worked for LG Electronics from 1995 to 1996. He also worked for Oracle Corporation in the US as a Senior Member of Technical Staff from 2000 to 2002. His research interests include big data, data mining, data warehouse, web information infrastructures, stream data processing, and deep learning.

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Journal article
Published: 12 March 2021 in Applied Sciences
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Over the past few years, the number of users of social network services has been exponentially increasing and it is now a natural source of data that can be used by recommendation systems to provide important services to humans by analyzing applicable data and providing personalized information to users. In this paper, we propose an information recommendation technique that enables smart recommendations based on two specific types of analysis on user behaviors, such as the user influence and user activity. The components to measure the user influence and user activity are identified. The accuracy of the information recommendation is verified using Yelp data and shows significantly promising results that could create smarter information recommendation systems.

ACS Style

Minsoo Lee; Soyeon Oh. An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks. Applied Sciences 2021, 11, 2530 .

AMA Style

Minsoo Lee, Soyeon Oh. An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks. Applied Sciences. 2021; 11 (6):2530.

Chicago/Turabian Style

Minsoo Lee; Soyeon Oh. 2021. "An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks." Applied Sciences 11, no. 6: 2530.

Journal article
Published: 11 December 2019 in Journal of the Korean Physical Society
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For the prediction of nonlinear phenomena in a three-wave Raman backscattering for laser amplification, a machine learning technology is applied to predict the generation of solitons in complicated multi-dimensional parameter spaces. The generation of the soliton in the resonant three-wave system is simulated with one-dimensional fluid equations. The solitons are generated in the early phase of the three-wave interaction, and the slow propagation speeds play an important role. Using a pattern matching method comparing the simulation data with the analytic solution, the generation of solitons are automatically detected. After collecting enough data sets by autonomous parameter scanning in the numerical simulation, nonlinear regression and k-nearest neighbor algorithms are utilized for the prediction of the existence of solitons.

ACS Style

Yeun Jung Kim; Minsoo Lee; Hae June Lee. Machine Learning Analysis for the Soliton Formation in Resonant Nonlinear Three-Wave Interactions. Journal of the Korean Physical Society 2019, 75, 909 -916.

AMA Style

Yeun Jung Kim, Minsoo Lee, Hae June Lee. Machine Learning Analysis for the Soliton Formation in Resonant Nonlinear Three-Wave Interactions. Journal of the Korean Physical Society. 2019; 75 (11):909-916.

Chicago/Turabian Style

Yeun Jung Kim; Minsoo Lee; Hae June Lee. 2019. "Machine Learning Analysis for the Soliton Formation in Resonant Nonlinear Three-Wave Interactions." Journal of the Korean Physical Society 75, no. 11: 909-916.

Conference paper
Published: 22 May 2019 in Advances in Intelligent Systems and Computing
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Graphs are mathematical models to represent relationships, and graph theories have an important role in recent research in the computer science area. These days, there are many kinds of graph-structured data such as social network service and biological and location data. And the graph data are now easily considered big data. Analyzing such graph data is an important problem. In this paper, we apply four major centralities and PageRank algorithms to real-world undirected graph data and find some empirical relationships and features of the algorithms. The results can be the starting point of many data-driven and theoretical link-based graph studies as well as social network service analysis.

ACS Style

Soyeon Oh; Kyeongjoo Kim; Minsoo Lee. Analysis of Centrality Concepts Applied to Real-World Big Graph Data. Advances in Intelligent Systems and Computing 2019, 619 -627.

AMA Style

Soyeon Oh, Kyeongjoo Kim, Minsoo Lee. Analysis of Centrality Concepts Applied to Real-World Big Graph Data. Advances in Intelligent Systems and Computing. 2019; ():619-627.

Chicago/Turabian Style

Soyeon Oh; Kyeongjoo Kim; Minsoo Lee. 2019. "Analysis of Centrality Concepts Applied to Real-World Big Graph Data." Advances in Intelligent Systems and Computing , no. : 619-627.

Book chapter
Published: 01 January 2015 in Lecture Notes in Electrical Engineering
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Due to the rapid development of the Internet and need for recommendation systems, there have been several recommendation systems using the various information on the Internet and more and more systems are using the SNS information. However, most of them only consider the simple direct friend relationships. In this paper we use the intimacy and similarity between users on the SNS to compute the weight of an evaluating person for recommendation purpose. The intimacy between users considers the direct and distant friend relationships on an SNS which contains direction and importance information among friends. The similarity between users is computed by using the mutual friends as well as the relationship between the user’s preference and the given item. In order to enhance the objectivity among user’s evaluations, the evaluation was performed on several item attributes. We have used real SNS data to carry out experiments and show how well the intimacy and similarity can predict the target user’s evaluation ratings.

ACS Style

Yeunjung Kim; Minsoo Lee. An Approach for Applying Social Networks Information to Information Recommendation. Lecture Notes in Electrical Engineering 2015, 330, 1307 -1314.

AMA Style

Yeunjung Kim, Minsoo Lee. An Approach for Applying Social Networks Information to Information Recommendation. Lecture Notes in Electrical Engineering. 2015; 330 ():1307-1314.

Chicago/Turabian Style

Yeunjung Kim; Minsoo Lee. 2015. "An Approach for Applying Social Networks Information to Information Recommendation." Lecture Notes in Electrical Engineering 330, no. : 1307-1314.

Conference paper
Published: 01 January 2012 in Computer Vision
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Most item recommendation systems nowadays are implemented by applying machine learning algorithms with user surveys as ground truth. In order to get satisfactory results from machine learning, massive amounts of user surveys are required. But in reality obtaining a large number of user surveys is not easy. Additionally, in many cases the opinions are subjective and personal. Hence user surveys cannot tell all the aspects of the truth. However, in this paper, we try to generate ground truth automatically instead of doing user surveys. To prove that our approach is useful, we build our experiment using Flickr to recommend tags that can represent the users’ interested topics. First, when we build training and testing models by user surveys, we note that the extracted tags are inclined to be too ordinary to be recommended as “Flickr-aware” terms that are more photographic or Flickr-friendly. To capture real representative tags for users, we apply LSA in a novel way to build ground truth for our training model. In order to verify our scheme, we define Flickr-aware terms to measure the extracted representative tags. Our experiments show that our proposed scheme with the automatically generated ground truth and measurements visibly improve the recommendation results.

ACS Style

Xian Chen; Hyoseop Shin; Minsoo Lee. LSA as Ground Truth for Recommending “Flickr-Aware” Representative Tags. Computer Vision 2012, 7240, 142 -153.

AMA Style

Xian Chen, Hyoseop Shin, Minsoo Lee. LSA as Ground Truth for Recommending “Flickr-Aware” Representative Tags. Computer Vision. 2012; 7240 ():142-153.

Chicago/Turabian Style

Xian Chen; Hyoseop Shin; Minsoo Lee. 2012. "LSA as Ground Truth for Recommending “Flickr-Aware” Representative Tags." Computer Vision 7240, no. : 142-153.

Book chapter
Published: 12 October 2009 in Reshaping Society through Analytics, Collaboration, and Decision Support
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This chapter presents a distributed event-triggered knowledge network (ETKnet) developed for use by government organizations to share not only data and application operations but also knowledge embedded in organizational and inter-organizational policies, regulations, data, and security constraints as well as collaborative processes and operating procedures. A unified knowledge and process specification language has been developed to formally specify multi-faceted human and organizational knowledge in terms of three types of knowledge rules and rule structures. A user-friendly interface is provided for collaborating organizations to define events of interest as well as automated and manual operations, operation structures, knowledge rules, rule structures, and triggers. Through this interface, these organizations can also perform task management, administrative management, configuration management, and ontology management. Events are published in a global registry for browsing, querying, event subscription, and notification. Rules and rule structures are automatically translated into Web services for discovery and distributed processing in ETKnet. Event data are dots that can be connected dynamically across organizational boundaries through the interoperation of knowledge rules and processes.

ACS Style

Stanley Y.W. Su; Howard W. Beck; Xuelian Xiao; Jeff DePree; Seema Degwekar; Chen Zhou; Minsoo Lee; Carla Thomas; Andrew Coggeshall; Richard Bostock. ETKnet: A Distributed Network System for Sharing Event Data and Multi-faceted Knowledge in a Collaboration Federation. Reshaping Society through Analytics, Collaboration, and Decision Support 2009, 135 -153.

AMA Style

Stanley Y.W. Su, Howard W. Beck, Xuelian Xiao, Jeff DePree, Seema Degwekar, Chen Zhou, Minsoo Lee, Carla Thomas, Andrew Coggeshall, Richard Bostock. ETKnet: A Distributed Network System for Sharing Event Data and Multi-faceted Knowledge in a Collaboration Federation. Reshaping Society through Analytics, Collaboration, and Decision Support. 2009; ():135-153.

Chicago/Turabian Style

Stanley Y.W. Su; Howard W. Beck; Xuelian Xiao; Jeff DePree; Seema Degwekar; Chen Zhou; Minsoo Lee; Carla Thomas; Andrew Coggeshall; Richard Bostock. 2009. "ETKnet: A Distributed Network System for Sharing Event Data and Multi-faceted Knowledge in a Collaboration Federation." Reshaping Society through Analytics, Collaboration, and Decision Support , no. : 135-153.

Journal article
Published: 09 October 2009 in IEEE Transactions on Consumer Electronics
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This paper presents the novel development of an embedded system that aims at digital TV content recommendation based on descriptive metadata collected from versatile sources. The described system comprises a user profiling subsystem identifying user preferences and a user agent subsystem performing content rating. TV content items are ranked using a combined multimodal approach integrating classification-based and keyword-based similarity predictions so that a user is presented with a limited subset of relevant content. Observable user behaviors are discussed as instrumental in user profiling and a formula is provided for implicitly estimating the degree of user appreciation of content. A new relation-based similarity measure is suggested to improve categorized content rating precision. Experimental results show that our system can recommend desired content to users with significant amount of accuracy.

ACS Style

Hyoseop Shin; Minsoo Lee; Eun Kim. Personalized digital TV content recommendation with integration of user behavior profiling and multimodal content rating. IEEE Transactions on Consumer Electronics 2009, 55, 1417 -1423.

AMA Style

Hyoseop Shin, Minsoo Lee, Eun Kim. Personalized digital TV content recommendation with integration of user behavior profiling and multimodal content rating. IEEE Transactions on Consumer Electronics. 2009; 55 (3):1417-1423.

Chicago/Turabian Style

Hyoseop Shin; Minsoo Lee; Eun Kim. 2009. "Personalized digital TV content recommendation with integration of user behavior profiling and multimodal content rating." IEEE Transactions on Consumer Electronics 55, no. 3: 1417-1423.

Journal article
Published: 11 January 2009 in Journal of Intelligent Manufacturing
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The ubiquitous environment is increasingly being considered as a platform for finding and integrating separate distributed services. Individuals or businesses can provide their services in the form of Web services in such a ubiquitous environment, and business processes that integrate such ubiquitous Web services can be formed using workflow technology. Workflow design and execution in such a dynamic and distributed environment needs to be very flexible in terms of incorporating changes. Web services may suddenly become unavailable and backup services may need to be found, or several providers of services may not be identifiable at the design time of the workflow. Therefore, dynamically finding and invoking Web services based on the workflow semantics need to be supported. BPEL4WS is the most popular and promising language among the workflow design languages for Web services. However, one of the problems with BPEL4WS is that it references the fixed WSDL file, which makes the workflow less flexible in dynamic and ubiquitous environments. Another problem is that it limits the amount of resources to only those that are specified. This makes it difficult to support semantics for finding similar or backup services in a ubiquitous network. This paper focuses on extending the BPEL4WS framework to include semantics by adding semantic constructs into WSDL and making use of ontologies in the BPEL4WS engine in order to support dynamic workflows suitable for ubiquitous environments.

ACS Style

Minsoo Lee; Hyejung Yoon; Hyoseop Shin; Deok Gyu Lee. Intelligent dynamic workflow support for a ubiquitous Web service-based manufacturing environment. Journal of Intelligent Manufacturing 2009, 20, 295 -302.

AMA Style

Minsoo Lee, Hyejung Yoon, Hyoseop Shin, Deok Gyu Lee. Intelligent dynamic workflow support for a ubiquitous Web service-based manufacturing environment. Journal of Intelligent Manufacturing. 2009; 20 (3):295-302.

Chicago/Turabian Style

Minsoo Lee; Hyejung Yoon; Hyoseop Shin; Deok Gyu Lee. 2009. "Intelligent dynamic workflow support for a ubiquitous Web service-based manufacturing environment." Journal of Intelligent Manufacturing 20, no. 3: 295-302.

Journal article
Published: 01 August 2006 in The KIPS Transactions:PartD
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ACS Style

Min-Soo Lee; Hye-Young Cho; Jung-Sun Oh; Yun-Mi Kim; Soo-Kyung Song. Research on supporting the group by clause reflecting XML data characteristics in XQuery. The KIPS Transactions:PartD 2006, 13D, 501 -512.

AMA Style

Min-Soo Lee, Hye-Young Cho, Jung-Sun Oh, Yun-Mi Kim, Soo-Kyung Song. Research on supporting the group by clause reflecting XML data characteristics in XQuery. The KIPS Transactions:PartD. 2006; 13D (4):501-512.

Chicago/Turabian Style

Min-Soo Lee; Hye-Young Cho; Jung-Sun Oh; Yun-Mi Kim; Soo-Kyung Song. 2006. "Research on supporting the group by clause reflecting XML data characteristics in XQuery." The KIPS Transactions:PartD 13D, no. 4: 501-512.

Conference paper
Published: 01 January 2006 in Computer Vision
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XML is the most popular platform-independent data expression language which is used to specify various digital content such as web content, multimedia content, bio-chemical data, etc. These various forms of XML data are continuously increasing by a large amount and there is a strong demand on effectively managing such data in digital libraries or archives. The most popular query language to search and retrieve information from such semi-structured XML digital libraries is XQuery. XQuery has a very powerful syntax which allows users to iterate over data items and perform calculation, string matching, and output formatting. However, it lacks a simple and easy way to group and provide summaries on vast amounts of XML data. This grouping and summary function is especially important for large digital archives where users like to obtain an overview or summary of the contents in the digital library. Our work is focused on providing an easy way for grouping in XQuery at the query language level. We provide several cases where this can be considered to be effective. We have also implemented an XQuery processing system with grouping functions based on the eXist Native XML Database.

ACS Style

Minsoo Lee; Sookyung Song; Yunmi Kim; Hyoseop Shin. Supporting Efficient Grouping and Summary Information for Semistructured Digital Libraries. Computer Vision 2006, 4312, 400 -409.

AMA Style

Minsoo Lee, Sookyung Song, Yunmi Kim, Hyoseop Shin. Supporting Efficient Grouping and Summary Information for Semistructured Digital Libraries. Computer Vision. 2006; 4312 ():400-409.

Chicago/Turabian Style

Minsoo Lee; Sookyung Song; Yunmi Kim; Hyoseop Shin. 2006. "Supporting Efficient Grouping and Summary Information for Semistructured Digital Libraries." Computer Vision 4312, no. : 400-409.

Conference paper
Published: 01 January 2006 in Computer Vision
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TV-Anytime metadata is being widely accepted as a metadata standard format that describes digital TV contents. It provides a wide spectrum of information of TV programs such as program information, program groups, program schedules, program reviews, program segments, user preferences, etc. These metadata are structured in a large hierarchical XML document. For efficiency, the metadata is split into a set of smaller pieces of metadata fragments that can be transmitted and accessed independently over a broadcast network. In this paper, we propose a fragment-based XML data indexing and querying scheme for efficient processing of TV-Anytime metadata. The experimental results show that the proposed scheme performs better than the generic XML data indexing and querying methods.

ACS Style

Hyoseop Shin; Minsoo Lee; Seokhyun Son. Fragment Indexing of XML-Based Metadata for Digital TV Contents. Computer Vision 2006, 4282, 1223 -1232.

AMA Style

Hyoseop Shin, Minsoo Lee, Seokhyun Son. Fragment Indexing of XML-Based Metadata for Digital TV Contents. Computer Vision. 2006; 4282 ():1223-1232.

Chicago/Turabian Style

Hyoseop Shin; Minsoo Lee; Seokhyun Son. 2006. "Fragment Indexing of XML-Based Metadata for Digital TV Contents." Computer Vision 4282, no. : 1223-1232.

Conference paper
Published: 01 January 2006 in Transactions on Petri Nets and Other Models of Concurrency XV
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The Internet has become the major platform for future inter-organizational knowledge-based applications. There is a need for knowledge modeling and processing techniques to perform event management and rule processing in such a distributed environment. We present an Event-Trigger-Rule (ETR) model, which differs from the conventional ECA rule model in that events and rules can be defined and managed independently by different people/organizations at different sites. Triggers are specifications that link distributed events with potentially complex structures of distributed rules to capture semantically rich and useful knowledge. Triggers can also be specified by different people/organizations in a distributed environment. Based on the ETR model, we have implemented an ETR Server that can be installed at multiple sites over the Internet. The ETR Server provides platform inde-pendence, extensibility, processing of event histories and rule structures, dynamic rule change at run-time, and Web-based GUI tools. The ETR Model and the implemented ETR Server can support various inter-organizational collaborative knowledge-based applications such as a Web-based negotiation system, supply chains, dynamic workflow management system, Knowledge Networks, and transnational information system.

ACS Style

Minsoo Lee; Stanley Y. W. Su; Herman Lam. An Event-Trigger-Rule Model for Supporting Collaborative Knowledge Sharing Among Distributed Organizations. Transactions on Petri Nets and Other Models of Concurrency XV 2006, 4277, 780 -791.

AMA Style

Minsoo Lee, Stanley Y. W. Su, Herman Lam. An Event-Trigger-Rule Model for Supporting Collaborative Knowledge Sharing Among Distributed Organizations. Transactions on Petri Nets and Other Models of Concurrency XV. 2006; 4277 ():780-791.

Chicago/Turabian Style

Minsoo Lee; Stanley Y. W. Su; Herman Lam. 2006. "An Event-Trigger-Rule Model for Supporting Collaborative Knowledge Sharing Among Distributed Organizations." Transactions on Petri Nets and Other Models of Concurrency XV 4277, no. : 780-791.

Journal article
Published: 01 April 2005 in The KIPS Transactions:PartD
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ACS Style

Yun-Ju Jeon; Eun-Hye Choi; Hyun-Suk Jung; Hyeyoung Cho; Minsoo Lee; Hwan-Seung Yong. Design and Implementation of a WML Converter and WML Editor for Automatic Generation of Wireless Internet Content. The KIPS Transactions:PartD 2005, 12D, 309 -318.

AMA Style

Yun-Ju Jeon, Eun-Hye Choi, Hyun-Suk Jung, Hyeyoung Cho, Minsoo Lee, Hwan-Seung Yong. Design and Implementation of a WML Converter and WML Editor for Automatic Generation of Wireless Internet Content. The KIPS Transactions:PartD. 2005; 12D (2):309-318.

Chicago/Turabian Style

Yun-Ju Jeon; Eun-Hye Choi; Hyun-Suk Jung; Hyeyoung Cho; Minsoo Lee; Hwan-Seung Yong. 2005. "Design and Implementation of a WML Converter and WML Editor for Automatic Generation of Wireless Internet Content." The KIPS Transactions:PartD 12D, no. 2: 309-318.

Chapter
Published: 01 January 2005 in Computer Vision
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The current Web technology is not suitable for representing knowledge nor sharing it among organizations over the Web. There is a rapidly increasing need for exchanging and linking knowledge over the Web, especially when several sellers and buyers come together on the Web to form a virtual marketplace. Virtual marketplaces are increasingly being required to become more intelligent and active, thus leading to an active virtual marketplace concept. This paper explains an infrastructure called the knowledge network that enables sharing of knowledge over the Web and thus effectively supports the formation of virtual marketplaces on the Web. The concept of an active virtual marketplace can be realized using this infrastructure by allowing buyers and sellers to effectively specify their knowledge in the form of events, triggers, and rules. The knowledge network can actively distribute and process these knowledge elements to help buyers and sellers to easily find each other. An example active virtual marketplace application has been developed using the knowledge network.

ACS Style

Minsoo Lee; Stanley Y. W. Su; Herman Lam. A Knowledge Network Approach for Implementing Active Virtual Marketplaces. Computer Vision 2005, 113 -135.

AMA Style

Minsoo Lee, Stanley Y. W. Su, Herman Lam. A Knowledge Network Approach for Implementing Active Virtual Marketplaces. Computer Vision. 2005; ():113-135.

Chicago/Turabian Style

Minsoo Lee; Stanley Y. W. Su; Herman Lam. 2005. "A Knowledge Network Approach for Implementing Active Virtual Marketplaces." Computer Vision , no. : 113-135.

Conference paper
Published: 01 January 2005 in Transactions on Petri Nets and Other Models of Concurrency XV
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XML data usually consists of tree-structured hierarchical data, which affects the storing and searching mechanisms for XML. When storing XML data into databases the hierarchical relationships among XML nodes need to be considered. User’s search queries that specify hierarchical relationships among the nodes also require appropriate processing mechanisms. Structural join operations provide a solution to this problem by efficiently computing hierarchical relationships in XML databases based on the node numbering storage scheme. However, in order to process a branch query containing several hierarchical relationships on XML data, many structural joins need to be sequentially carried out and result in a high query execution cost. This paper proposes mechanisms to reduce the cost of processing branch pattern XML queries requiring multiple structural joins. We discuss two approaches for rewriting a query composed of a single branch, and then apply these approaches to general branch queries. The first approach uses the concept of equivalence class relationships among regular path expression queries. The second approach uses a bottom-up approach to reduce the overhead identified in the first scheme. Experimental results show that the proposed schemes can reduce the query execution cost by up to an order of magnitude of the original execution cost.

ACS Style

Hyoseop Shin; Minsoo Lee. An Efficient Branch Query Rewriting Algorithm for XML Query Optimization. Transactions on Petri Nets and Other Models of Concurrency XV 2005, 1629 -1639.

AMA Style

Hyoseop Shin, Minsoo Lee. An Efficient Branch Query Rewriting Algorithm for XML Query Optimization. Transactions on Petri Nets and Other Models of Concurrency XV. 2005; ():1629-1639.

Chicago/Turabian Style

Hyoseop Shin; Minsoo Lee. 2005. "An Efficient Branch Query Rewriting Algorithm for XML Query Optimization." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 1629-1639.

Journal article
Published: 31 August 2004 in Knowledge-Based Systems
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This paper presents the concept of a Web-based knowledge network. A knowledge model is first described and then the overall architectural framework of the knowledge network is discussed. The implemented prototype system allows providers of information resources and/or application system services to publish not only their data resources and/or services on Web pages, but also their knowledge expressed in forms of events, rules, and triggers associated with the contents and operations of these pages. Internet users can access these Web pages, subscribe to some published events in a registration process, and provide values for event filters and customizable rules. The subscribers can also specify additional triggers and rules of their own that are to be processed on the subscribers' sites. At run-time, when an event is posted by a provider (human or automated application system), event filters are processed, the relevant subscribers are notified, and both the provider and subscribers' triggers and rules are processed on their respective sites. The architectural framework allows both providers and subscribers of information resources and services to contribute their knowledge to the Internet, thus forming a Web-based knowledge network instead of the present data/information network. The knowledge network is constructed by a number of replicable software components, which can be installed at various network sites. They, together with the existing Web servers, form the knowledge Web servers.

ACS Style

Minsoo Lee; Stanley Y.W. Su; Herman Lam. Event and rule services for achieving a Web-based knowledge network. Knowledge-Based Systems 2004, 17, 179 -188.

AMA Style

Minsoo Lee, Stanley Y.W. Su, Herman Lam. Event and rule services for achieving a Web-based knowledge network. Knowledge-Based Systems. 2004; 17 (5-6):179-188.

Chicago/Turabian Style

Minsoo Lee; Stanley Y.W. Su; Herman Lam. 2004. "Event and rule services for achieving a Web-based knowledge network." Knowledge-Based Systems 17, no. 5-6: 179-188.