• Korean Security Journal
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• no.34
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• pp.259-278
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• 2013

With advances of information technology (IT) and the Internet, it became much easier to search and collect information through many different types of web search engine. Such information only restricted to the intelligence services became available to the public, and the increased open source changed the intelligence collection activities of governments. Open Source Intelligence (OSINT) was introduced to organize and analyze the large volumes of information. OSINT is actively used after the 9/11 terrorist attack, and the United States government invest a huge amount of budget to conduct research and develope technology about OSINT. Although many Western countries recognize the importance of OSINT and deal with open source as priority, South Korea has not fully understand the important role of OSINT. Therefore, this study introduces the fundamental principles of OSINT and provides practical examples of OSINT usage. OSINT is an effective source to prevent terrorist attacks as well as a variety of crimes. Extensive discussion and suggestions for future usages are provided.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.113-121
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• 2009

The increasing interest in leisure activities of a five-day work per week has been recently prevailed. Additionally, as internet and mobile infrastructures have been becoming widespread, the user can get specific information using a search engine. However, it is difficult for the user to get accurate information they really want as shared information has been rapidly increased and the information has been searched. For example, users can retrieve required travel information, but they also must see a huge number of travel advertisements. In this paper, we design and implement a retrieval system using travel information collecting agent. The information gathering agent regularly visits travel-related category pages of the portal sites and major media travel-article pages to collect information related to travel, and the agent stores the gathered information to a database. Then, users can search the travel information conveniently without the need to view advertisements.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.15-20
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• 2009

Much amount of data which demand fuzzy information system requires various analysis through the fuzzy set visualization. Therefore, this study proposes how to visualize fuzzy data set using variation of Venn diagram. For the fuzzy data which are related to many topics and have ranking of relation, this way gives results that users want by visualizing intersection, union and complementary set. That is, it visualizes the set of fuzzy data which have many topics at once, or the set of all fuzzy data which has topics, or the set of fuzzy data not related to a topic. Users control these sets by overlapping or piling them; visualized with Venn diagram, which is user-oriented. One distinct advantage of this visualization is the fact that it delivers web documents which users of search engine and web developers want much quickly. Furthermore, its possibility can be expanded to several purposes by using for information retrieval.

• Journal of KIISE:Databases
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• v.37 no.5
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• pp.258-266
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• 2010

In this paper, we introduce a novel method to predict next update of blogs. The number of RSS feeds registered on meta-blogs is on the order of several million. Checking for updates is very time consuming and imposes a heavy burden on network resources. Since blog search engine has limited resources, there is a fix number of blogs that it can visit on a day. Nevertheless we need to maximize chances of getting new data, and the proposed method which predicts update probability on blogs could bring better chances for it. Also this work is important to avoid distributed denial-of-service attack for the owners of blogs. Furthermore, for the internet as whole this work is important, too, because our approach could minimize traffic. In this study, we assumed that there is a specific pattern to when a blogger is actively posting, in terms of days of the week and, more specifically, hours of the day. We analyzed 15,119 blogs to determine a blogger's posting preference. This paper proposes a method to predict the update probability based on a blogger's posting history and preferred days of the week. We applied proposed method to 12,115 blogs to check the precision of our predictions. The evaluation shows that the model has a precision of 0.5 for over 93.06% of the blogs examined.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.475-486
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• 2020

The purpose of present study is to identify the regional tourism resources using Webometric network analysis. The study focuses on Suseong area in Daegu metropolitan city. Various kinds of web-based data, for example, hit counts, online news, and public comments, were used to discover hot places and people's responses. The research question is, 'First, what is the optimum level of the search engine for suseong? Second, what is the online appearance of tourist resources in suseong? Which region is the center of tourism with high levels of emergence? Third, what are the main contents of news articles and comments related to the Suseong pond?'. The results show that the search engine optimization level in Suseong is lower than that in other areas in Daegu. In other words, tourism information and contents regarding Suseong are not highly visible on cyber space. Importantly, Suseong pond had the highest online presence. A close analysis of both online news and users' comments on Suseong pond, however, revealed the biggest concern as calling for improving public accessibility to tourism infrastructure. The findings are expected to contribute to policy development and service operation related to tourism resources in Suseong.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.209-215
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• 2005

Conventional ORDBMS vendors provide extension mechanisms for adding user-defined types and functions to their own DBMSs. Here, the extension mechanisms are implemented using a high-level interface. We call this technique loose-coupling. The advantage of loose-coupling is that it is easy to implement. However, it is not preferable for implementing new data types and operations in large databases when high Performance is required. In this paper, we propose to use the notion of tight-coupling to satisfy this requirement. In tight-coupling, new data types and operations are integrated into the core of the DBMS engine. Thus, they are supported in a consistent manner with high performance. This tight-coupling architecture is being used to incorporate information retrieval(IR) features and spatial database features into the Odysseus/IR ORDBMS that has been under development at KAIST/AITrc. In this paper, we introduce Odysseus/IR and explain its tightly-coupled IR features (U.S. patented). We then demonstrate a web search engine that is capable of managing 20 million web pages in a non-parallel configuration using Odysseus/IR.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.67-74
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• 2018

Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.2
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• pp.118-125
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• 2017

The purpose of this study is to investigate the blood pressure reducing effect of Qi-Ju-Di-Huang-Wan (QJDHW) in adults with essential hypertension by using methods of systemic review and meta-analysis. Major search engines, such as PubMed, EMBASE, Cochrane library, Web of Science, CNKI, CiNii, J-STAGE, KISS, NDSL, RISS, OASIS, DBpia and so on, were used. The search period we used is from the start date of the search engine to October 30, 2016 and no language limits were placed. Randomized controlled trials using QJDHW in adults with essential hypertension were searched and extracted by two independent researchers. Meta-analysis was performed on outcome variables of the total effective rate (TER), systolic blood pressure (SBP) and diastolic blood pressure (DBP). Risk of bias (RoB) of Cochrane was used to assess methodological quality. Thirteen studies were finally selected. We observed that the combined treatment of QJDHW and antihypertensive drug had 3.6 times the odds ratio of TER for blood pressure lowering than a single use of an antihypertensive drug. Additionally, mean differences of SBP and DBP were -8.88 mmHg (95% Confidential Interval (CI) -12.77 mmHg, -5.00 mmHg, P<0.00001), -7.09 mmHg (95% CI -9.93, -4.25, P <0.00001), respectively. Single use of QJDHW did not reduce blood pressure more than an antihypertensive drug. All items of RoB were unclear and the methodological quality was low. Our analysis suggests that the combination of QJDHW and antihypertensive drugs may be more effective in reducing blood pressure than a single antihypertensive drug. But due to low methodological quality, careful interpretation will be needed and systematic long-term clinical trials will be required.

• The KIPS Transactions:PartA
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• v.17A no.5
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• pp.229-236
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• 2010

With an increasing number of documents in the Internet or enterprises, it becomes crucial to efficiently support users' queries on those documents. In that situation, the full-text search technique is accepted in general, because it can answer uncontrolled ad-hoc queries by automatically indexing all the keywords found in the documents. The size of index files made for full-text searches grows with the increasing number of indexed documents, and thus the disk cost may be too large to process multi-keyword queries against those enlarged index files. To solve the problem, we propose both of the index file structure and its management scheme suitable to the processing of multi-keyword queries against a large volume of index files. For this, we adopt the structure of inverted-files, which are widely used in the multi-keyword searches, as a basic index structure and modify it to a hierarchical structure for join operations and ranking operations performed during the query processing. In order to save disk costs based on that index structure, we dynamically store in the main memory the results of join operations between two keywords, if they are highly expected to be entered in users' queries. We also do performance comparisons using a cost model of the disk to show the performance advantage of the proposed scheme.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.1
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• pp.71-81
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• 2002

The lack of specialties of the existing commercial web search systems stems from the fact that they have no capabilities to extract and gather the meaningful information from each information domain they cover. We are sure, however, that the necessity for the information integration system, not just search system, will be likely to become larger in the future. In this paper, we propose a design and implementation of an information integration system called TIC(target information collector). TIC is able to extract meaningful information from a specific information area in the internet and integrate them for the commercial service. We also show the evaluation results of our implementation. For the experiments we applied our TIC to the international procurement information area. The international procurement information is publicly and freely announced by each government to the world. To automatically extract common properties from the related source sites, we adopt information pointing technique using inter-HTML tag pattern parsing. And through the information integration framework design, we can easily implement a site-specific information integration engine. By running our TIC for about 8 months, we find out it can remove considerable amount of the duplicated information, and as a result, we can obtain high quality international procurement information. The main contribution of this paper is to present a framework design and it's implementation for extracting the information of a specific area and then integrating them into a meaningful one.