• Asia pacific journal of information systems
• /
• v.24 no.2
• /
• pp.191-210
• /
• 2014

As mobile devices that can be connected to the Internet have spread and networking has become possible whenever/wherever, the Internet has become central in the dissemination and consumption of news. Accordingly, the ways news is gathered, disseminated, and consumed have changed greatly. In the traditional news media such as magazines and newspapers, expert editors determined what events were worthy of deploying their staffs or freelancers to cover and what stories from newswires or other sources would be printed. Furthermore, they determined how these stories would be displayed in their publications in terms of page placement, space allocation, type sizes, photographs, and other graphic elements. In turn, readers-news consumers-judged the importance of news not only by its subject and content, but also through subsidiary information such as its location and how it was displayed. Their judgments reflected their acceptance of an assumption that these expert editors had the knowledge and ability not only to serve as gatekeepers in determining what news was valuable and important but also how to rank its value and importance. As such, news assembled, dispensed, and consumed in this manner can be said to be expert-based recommended news. However, in the era of Internet news, the role of expert editors as gatekeepers has been greatly diminished. Many Internet news sites offer a huge volume of news on diverse topics from many media companies, thereby eliminating in many cases the gatekeeper role of expert editors. One result has been to turn news users from passive receptacles into activists who search for news that reflects their interests or tastes. To solve the problem of an overload of information and enhance the efficiency of news users' searches, Internet news sites have introduced numerous recommendation techniques. Recommendations based on popularity constitute one of the most frequently used of these techniques. This popularity-based approach shows a list of those news items that have been read and shared by many people, based on users' behavior such as clicks, evaluations, and sharing. "most-viewed list," "most-replied list," and "real-time issue" found on news sites belong to this system. Given that collective intelligence serves as the premise of these popularity-based recommendations, popularity-based news recommendations would be considered highly important because stories that have been read and shared by many people are presumably more likely to be better than those preferred by only a few people. However, these recommendations may reflect a popularity bias because stories judged likely to be more popular have been placed where they will be most noticeable. As a result, such stories are more likely to be continuously exposed and included in popularity-based recommended news lists. Popular news stories cannot be said to be necessarily those that are most important to readers. Given that many people use popularity-based recommended news and that the popularity-based recommendation approach greatly affects patterns of news use, a review of whether popularity-based news recommendations actually reflect important news can be said to be an indispensable procedure. Therefore, in this study, popularity-based news recommendations of an Internet news portal was compared with top placements of news in printed newspapers, and news users' judgments of which stories were personally and socially important were analyzed. The study was conducted in two stages. In the first stage, content analyses were used to compare the content of the popularity-based news recommendations of an Internet news site with those of the expert-based news recommendations of printed newspapers. Five days of news stories were collected. "most-viewed list" of the Naver portal site were used as the popularity-based recommendations; the expert-based recommendations were represented by the top pieces of news from five major daily newspapers-the Chosun Ilbo, the JoongAng Ilbo, the Dong-A Daily News, the Hankyoreh Shinmun, and the Kyunghyang Shinmun. In the second stage, along with the news stories collected in the first stage, some Internet news stories and some news stories from printed newspapers that the Internet and the newspapers did not have in common were randomly extracted and used in online questionnaire surveys that asked the importance of these selected news stories. According to our analysis, only 10.81% of the popularity-based news recommendations were similar in content with the expert-based news judgments. Therefore, the content of popularity-based news recommendations appears to be quite different from the content of expert-based recommendations. The differences in importance between these two groups of news stories were analyzed, and the results indicated that whereas the two groups did not differ significantly in their recommendations of stories of personal importance, the expert-based recommendations ranked higher in social importance. This study has importance for theory in its examination of popularity-based news recommendations from the two theoretical viewpoints of collective intelligence and popularity bias and by its use of both qualitative (content analysis) and quantitative methods (questionnaires). It also sheds light on the differences in the role of media channels that fulfill an agenda-setting function and Internet news sites that treat news from the viewpoint of markets.

• Journal of Intelligence and Information Systems
• /
• v.18 no.3
• /
• pp.137-152
• /
• 2012

In the generation of Web 2.0, as many users start to make lots of web contents called user created contents by themselves, the World Wide Web is overflowing by countless information. Therefore, it becomes the key to find out meaningful information among lots of resources. Nowadays, the information retrieval is the most important thing throughout the whole field and several types of search services are developed and widely used in various fields to retrieve information that user really wants. Especially, the legal information search is one of the indispensable services in order to provide people with their convenience through searching the law necessary to their present situation as a channel getting knowledge about it. The Office of Legislation in Korea provides the Korean Law Information portal service to search the law information such as legislation, administrative rule, and judicial precedent from 2009, so people can conveniently find information related to the law. However, this service has limitation because the recent technology for search engine basically returns documents depending on whether the query is included in it or not as a search result. Therefore, it is really difficult to retrieve information related the law for general users who are not familiar with legal terms in the search engine using simple matching of keywords in spite of those kinds of efforts of the Office of Legislation in Korea, because there is a huge divergence between everyday words and legal terms which are especially from Chinese words. Generally, people try to access the law information using everyday words, so they have a difficulty to get the result that they exactly want. In this paper, we propose a term mapping methodology between everyday words and legal terms for general users who don't have sufficient background about legal terms, and we develop a search service that can provide the search results of law information from everyday words. This will be able to search the law information accurately without the knowledge of legal terminology. In other words, our research goal is to make a law information search system that general users are able to retrieval the law information with everyday words. First, this paper takes advantage of tags of internet blogs using the concept for collective intelligence to find out the term mapping relationship between everyday words and legal terms. In order to achieve our goal, we collect tags related to an everyday word from web blog posts. Generally, people add a non-hierarchical keyword or term like a synonym, especially called tag, in order to describe, classify, and manage their posts when they make any post in the internet blog. Second, the collected tags are clustered through the cluster analysis method, K-means. Then, we find a mapping relationship between an everyday word and a legal term using our estimation measure to select the fittest one that can match with an everyday word. Selected legal terms are given the definite relationship, and the relations between everyday words and legal terms are described using SKOS that is an ontology to describe the knowledge related to thesauri, classification schemes, taxonomies, and subject-heading. Thus, based on proposed mapping and searching methodologies, our legal information search system finds out a legal term mapped with user query and retrieves law information using a matched legal term, if users try to retrieve law information using an everyday word. Therefore, from our research, users can get exact results even if they do not have the knowledge related to legal terms. As a result of our research, we expect that general users who don't have professional legal background can conveniently and efficiently retrieve the legal information using everyday words.

• Journal of Acupuncture Research
• /
• v.33 no.4
• /
• pp.121-136
• /
• 2016

Objectives : Despite various treatment for Shoulder-hand syndrome being presented, only a few studies that examine the direct efficacy of acupuncture exist. The aim of this study is to establish a base for further research by reviewing studies on acupuncture treatment for Shoulder-hand syndrome. Methods : Clinical studies involving the effects of acupuncture for Shoulder-hand syndrome, published on July 19th 2016, were obtained from Pubmed, RISS, OASIS, the Journal of Korean Acupuncture and Moxibustion, the Journal of Korean institute of pharmacopuncture, the Korean Journal of Acupuncture, NDSL, Korean Traditional Knowledge Portal, DBpia, and KISS. Selected studies were evaluated by the Jadad scale and FEAS. Results : Among a total of two hundred and fifteen articles, thirteen articles (RCT 9, SR 1, Meta analysis 1, CCT 1 article, Case series 1) that meet the criteria were selected. Among 13 articles, one article was published in Korea. And apart from this one article, twelve studies were published in China. All studies reported that the experimental group treated by acupuncture had significantly better effects compared to the control group. However, the overall quality assessment of the studies is low. Conclusion : Despite several limitations, various studies to prove limited yet effective acupuncture treatment on Shoulder-hand syndrome provides much significance. Subsequent studies conducted by the complementary systematic review of the studies and well-designed clinical trials using the methodological quality will be needed to more firmly validate the therapeutic effect of acupuncture on Shoulder-hand syndrome.

• The Journal of the Society of Stroke on Korean Medicine
• /
• v.23 no.1
• /
• pp.25-40
• /
• 2022

■Objectives This study aimed to collect and analyze clinical studies on the significance of acupuncture in the treatment of hypertension among Korean patients. ■Methods Among Korean patients with a blood pressure (BP) of 120 mmHg or higher and a diastolic BP of 80 mmHg or higher, those, treated with acupuncture only, were included. A literature search was conducted through 'Embase', 'Medline', 'Science and Technology Information Integration Service (NDSL)', 'Traditional Korean Knowledge Portal (OASIS)', 'PubMed', and 'Scopus'. The search keywords were (hypertension OR 'blood pressure') AND acupuncture. The papers, published before the day of the search (02. January 2022), were included in this study. ■Results Among the 12 selected papers, seven involved randomized controlled trial (RCT), four before-and-after studies, and one case series. The number of RCTs has increased yearly. The treatment methods used in the studies included needle acupuncture in eight studies, auricular acupuncture in two, pharmacopuncture in one, and si-acupuncture in one. The average numbers of patients enrolled in RCTs, before-and-after studies, and case series were 21.1, 30, and 23 respectively. Six studies were conducted on prehypertensive patients, two on stage 1 hypertension patients, and four on stage 2 hypertension patients. The involved acupoints have been reported to be ST36 in eight papers, LI11 in four papers, and PC6 in three papers. The treatment period lasted for < 1 week in eight studies and 8 weeks in four studies. Acupuncture successfully lowered blood pressure in nine out of 12 studies ■Conclusions Acupuncture is a viable alternative treatment option for prehypertensive patients, who are not taking medications. Additionally, it is also useful in further lowering the BP of patients with stage 1 and stage 2 hypertension in the short term. Large-scale and long-term studies on acupuncture for hypertension should be conducted.

• The KIPS Transactions:PartA
• /
• v.10A no.5
• /
• pp.469-478
• /
• 2003

Internet information search engines using web robots visit servers conneted to the Internet periodically or non-periodically. They extract and classify data collected according to their own method and construct their database, which are the basis of web information search engines. There procedure are repeated very frequently on the Web. Many search engine sites operate this processing strategically to become popular interneet portal sites which provede users ways how to information on the web. Web search engine contacts to thousands of thousands web servers and maintains its existed databases and navigates to get data about newly connected web servers. But these jobs are decided and conducted by search engines. They run web robots to collect data from web servers without knowledge on the states of web servers. Each search engine issues lots of requests and receives responses from web servers. This is one cause to increase internet traffic on the web. If each web server notify web robots about summary on its public documents and then each web robot runs collecting operations using this summary to the corresponding documents on the web servers, the unnecessary internet traffic is eliminated and also the accuracy of data on search engines will become higher. And the processing overhead concerned with web related jobs on web servers and search engines will become lower. In this paper, a monitoring system on the web server is designed and implemented, which monitors states of documents on the web server and summarizes changes of modified documents and sends the summary information to web robots which want to get documents from the web server. And an efficient web robot on the web search engine is also designed and implemented, which uses the notified summary and gets corresponding documents from the web servers and extracts index and updates its databases.