Du-Seok Jin

Automatic In-Text Keyword Tagging based on Information Retrieval

Abstract: As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) – if a pattern matching algorithm is used – can be reduced to O(mlogN) – if an Information Retrieval technique is adopted – while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 ~ 40 times compared with the fastest pattern matching algorithm.

EDISON Platform to Supporting Education and Integration Research in Computational Science

Recently, a new theoretical and methodological approach for computational science is becoming more and more popular for analyzing and solving scientific problems in various scientific disciplines and applied research. Computational science is a field of study concerned with constructing mathematical models and quantitative analysis techniques and using large computing resources to solve the problems which are difficult to approach in a physical experimentally. In this paper, we present R&D of EDISON open integration platform that allows anyone like professors, researchers, industrial workers, students etc to upload their advanced research result such as simulation SW to use and share based on the cyber infrastructure of supercomputer and network. EDISON platform, which consists of 3 tiers (EDISON application framework, EDISON middleware, and EDISON infra resources) provides Web portal for education and research in 5 areas (CFD, Chemistry, Physics, Structural Dynamics, Computational Design) and user service. 키워드

Toward DB-IR Integration: Per-Document Basis Transactional Index Maintenance

While information retrieval(IR) and databases(DB) have been developed independently, there have been emerging requirements that both data management and efficient text retrieval should be supported simultaneously in an information system such as health care systems, bulletin boards, XML data management, and digital libraries. Recently DB-IR integration issue has been budded in the research field. The great divide between DB and IR has caused different manners in index maintenance for newly arriving documents. While DB has extended its SQL layer to cope with text fields due to lack of intact mechanism to build IR-like index, IR usually treats a block of new documents as a logical unit of index maintenance since it has no concept of integrity constraint. However, towards DB-IR integration, a transaction on adding or updating a document should include maintenance of the postings lists accompanied by the document - hence per-document basis transactional index maintenance. In this paper, performance of a few strategies for per-document basis transaction for inserting documents -- direct index update, stand-alone auxiliary index and pulsing auxiliary index - will be evaluated. The result tested on the KRISTAL-IRMS shows that the pulsing auxiliary strategy, where long postings lists in the auxiliary index are in-place updated to the main index whereas short lists are directly updated in the auxiliary index, can be a challenging candidate for text field indexing in DB-IR integration.

Cyber Physical System-Based Convergence Operation of Data Intensive Computing Resources

Large-scale scientific experiments involve a large number of computers. These computers generally employ grid computing to perform non-interactive, data-intensive tasks. Recent scientific studies have required multiple computers to handle massive data sets. An efficient method of supporting various research is to provide computing resources through a unified data center. This has complicated the management of computing resources in the data center. The deployment and the status of computing resources change frequently according to the requirements of each research, renewal of research support contracts, and adjustment of computing resources. This study presents a cyber physical system based on convergence operation of data-intensive computing resources to support various research groups. The proposed operation takes into account the modification of computing resources, other changes resulting from such modification, and information reflecting modification of the physical world. We first present the workload of operations and related information. Based on these relationships, we derive an optimized work process and the required physical information. For computing resources including existing equipment, we use a mobile device and a wireless network to facilitate conversion between the physical world and cyber world. The mobile device of administrator captures sequence of remote controlled management indicator lights to detect physical modification.

Integrated management system for a large computing resources in a scientific data center

Recently, many scientists in a basic science field have been using high-performance computer to analyze the large-scale data according to developed IT technology. A data center with large computing resources provides high-performance computing resources to scientists. To support various science fields, the large computing resources of data center are frequently re-organized based on its purpose. System software management, account management and infrastructure management are needed to re-organize and manage the large computing resources. However, these management policies take a lot of work and time of the system administrators. In this paper, we propose IMS (integrated management system) to manage computing resources efficiently and to reduce a lot of work and time. IMS not only integrates three separated managements, but also automates infrastructure management. Therefore, IMS provides high availability and usability of whole computing resources as well as reduces re-organizing time and cost of work and time.

Service-Centric Object Fragmentation for Efficient Retrieval and Management of Huge XML Documents

Vast amount of XML documents raise interests in how they will be used and how far their usage can be expanded, This paper has two central goals: 1) easy and fast retrieval of XML documents or relevant elements; and 2) efficient and stable management of large-size XML documents, The keys to develop such a practical system are how to segment a large XML document to smaller fragments and how to store them. In order to achieve these goals, we designed SCOF(Service-centric Object Fragmentation) model, which is a semi-decomposition method based on conversion rules provided by XML database managers. Keyword-based search using SCOF model then retrieves the specific elements or attributes of XML documents, just as typical XML query language does. Even though this approach needs the wisdom of managers in XML document collection, SCOF model makes it efficient both retrieval and management of massive XML documents.

EDISON Platform: A Software Infrastructure for Application-Domain Neutral Computational Science Simulations

This paper describes the design and implementation details of the EDISON platform for computational science simulations. Along with an overview of the EDISON platform, we provide an in-depth explanation of the Science AppStore framework used to acquire application-domain neutrality and the virtualized computing resources/job management framework that provides user authentication, on-demand resources provisioning, simulation/job lifecycle control, and file input/output services, etc. To evaluate the usefulness and functionality of the EDISON platform, as a pilot study, we have applied the EDISON platform to a nano-physics service environment.

Design of Web Simulation and Content Service on EDISON

In order to help students understand various kinds of phenomena on applications, we design the system structure and service of EDucation-research Integration through Simulation On the Net (EDISON) services. In this paper, we focus on students’ activity who utilizes EDISON simulation and contents service with their lecture notes. The designed web simulation service includes reusing of previous simulation workflow and searching workflow and results. Contents also utilize simulation service to verify the knowledge of contents such as lecture notes, reports, and papers. The designed service helps students to understand the knowledge of their learning materials.

A Technique for Provisioning Virtual Clusters in Real-time and Improving I/O Performance on Computational-Science Simulation Environments

Computational science simulations have been used to enable discovery in a broad spectrum of application areas, these simulations show irregular demanding characteristics of computing resources from time to time. The adoption of virtualized high performance cloud, rather than CPU-centric computing platform (such as supercomputers), is gaining interest of interests mainly due to its ease-of-use, multi-tenancy and flexibility. Basically, provisioning a virtual cluster, which consists of a lot of virtual machines, in a real-time has a critical impact on the successful deployment of the virtualized HPC clouds for computational science simulations. However, the cost of concurrently creating many virtual machines in constructing a virtual cluster can be as much as two orders of magnitude worse than expected. One of the main factors in this bottleneck is the time spent to create the virtual images for the virtual machines. In this paper, we propose a novel technique to minimize the creation time of virtual machine images and improve I/O performance of the provisioned virtual clusters. We also confirm that our proposed technique outperforms the conventional ones using various sets of experiments.

Simulation Program Binding Technology Based on Supercomputing

There has been a rapid improvement every year in the performance of supercomputer, as 10 times in the past three years, as 1000 times in the past ten years. Computational science simulation is on the rise to the third method as successor of theory and experiment in medical field as well as physics and engineering. However, despite demands on a variety of fields such as medical treatment, computational engineering, researchers should spend enormous cost and time developing computer simulation program. Also, simulation program developed on this way usually dies out only after performing single separate function. To improve this problem, in this paper, we manage informal processes which produce new procedure using unstructured scientific workflow to share information about simulation program developed by users through storage and to provide optimal integrated environment for problem solving demand.