• Journal of the Korean Society for information Management
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• v.27 no.4
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• pp.109-130
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• 2010

The purpose of this study is to identify th patterns in the news reporters' information seeking behaviors by observing their web activities. For this purpose, transaction logs collected from 23 news reporters were analyzed. Web tracking software was installed to collect the data from their PCs, and a total of 39,860 web logs were collected in two weeks. Start and end pattern of sessions, transitional pattern by step, sequence rule model was analyzed and the pattern of Internet use was compared with the general public. the analysis of pattern derived a web information seeking behavior modes that consists of four types of behaviors: fact-checking browsing, fact-checking search, investigative browsing and investigative search.

• Journal of information and communication convergence engineering
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• v.20 no.2
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• pp.113-124
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• 2022

News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This hinders the effective use of embedded knowledge in such texts. Therefore, Automatic Knowledge Extraction (AKE) has now become an integral part of Semantic web and Natural Language Processing (NLP). Although recent literature shows that AKE has progressed, the results are still behind the expectations. This study proposes a method to auto-extract surface knowledge from English news into a machine-interpretable semantic format (triple). The proposed technique was designed using the grammatical structure of the sentence, and 11 original rules were discovered. The initial experiment extracted triples from the Sri Lankan news corpus, of which 83.5% were meaningful. The experiment was extended to the British Broadcasting Corporation (BBC) news dataset to prove its generic nature. This demonstrated a higher meaningful triple extraction rate of 92.6%. These results were validated using the inter-rater agreement method, which guaranteed the high reliability.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.325-344
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• 2011

The purpose of this study was to investigate the overall web information seeking behavior of news reporters and analyze its correlation with parameters that characterize information needs, preferred sources of information, information technology and internet use and satisfaction. For this purpose, a survey of205 news reporters working at domestic newspaper companies, including daily newspapers, magazines, and online newspapers was conducted. News reporters' primary purposes of seeking web information were to simply check facts and collect overall background information. Their information needs had close association with their position, media type, and familiarity with the internet, but with little association with gender, age, and reporting area.

• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.1-10
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• 2007

Many types of information provided through the web including news contents contain unnecessary clutters. These clutters make it difficult to build automated information processing systems such as the summarization, extraction and retrieval of documents. We propose a system that extracts and summarizes news contents from the web. The extraction system receives news contents in HTML as input and builds an element tree similar to DOM tree, and extracts texts while removing clutters with the hyperlink attribute in the HTML tag from the element tree. Texts extracted through the extraction system are transferred to the summarization system, which extracts key sentences from the texts. We implement the summarization system using co-occurrence relation graph. The summarized sentences of this paper are expected to be transmissible to PDA or cellular phone by message services such as SMS.

• Journal of the Korea Society of Computer and Information
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• v.21 no.4
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• pp.55-62
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• 2016

In this paper, we propose the INDEM(Internet News Data Extraction Middleware) system for the removal of the unnecessary data in internet news. Although data on the internet can be used in various fields such as source of data of IR(Information Retrieval), Data mining and knowledge information service, it contains a lot of unnecessary information. The removal of the unnecessary data is a problem to be solved prior to the study of the knowledge-based information service that is based on the data of the web page. The INDEM system parses html and explores the XPath, and it is to perform the analysis. The user simply utilize INDEM by implementing an abstract class that provides INDEM, and can obtain the analysis information. INDEM System through this process delivers the analysis information including the main contents of news site to the users. In this paper, the INDEM system was adapted in a stand-alone and web service system and it was evaluated on the basis of 16 news site. As a result, performance of the INDEM system is affected in html source data size and complexity of used html grammar than the main news data size.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.135-143
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• 2022

This paper aims to grasp what propensity users have in their ideology from the comments in the Web Portal News and the Press Website News. Through these analytical results, the political propensities of not only the Web Portal News and the Press Website News but also the voters who use these news media could be grasped. The collection of data necessary for this study has been made from the comments of 174 news stories for about 90 days before the election day. For the analysis, T-test has been used in order to compare Naver News with Daum News, the Minjoo Party of Korea with the People Power Party, and the Press Web Site News with Naver News. As a result of the analysis, the comments of Naver News took the higher percentage in the positive writings about the candidates of the conservative party. but, in contrast, those of Daum News in that percentage were higher about the ones of the progressive party. Accordingly, it can be found that Naver News is mainly used by users with the politically conservative propensity, while Daum News is mostly used by those with progressive one.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.277-285
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• 2007

This research proposes a personalized mobile web contents creation method that uses web news channel contents-based analysis. It promptly acquires data through the RSS and RSS-linked web pages which have been supplied by the existing web sites for a news search. And then It applies a personalization method using analysis in contents filtering and generation. The proposed method will make creating mobile web contents easier while lowering wireless contents production costs. Moreover, It can be improved a user satisfaction for contents filtering and access with using analysis that fits in with a matter of user's specific interest.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.907-910
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• 2009

With the growth of the internet, news was enlarged from paper to web. News would be going to have a new formality through technical improvement of web. The aim of this study was to needs about the news that would be newly shown with a future growth. News is reputed to be a piece of information which is not known to the general public and coexists in our life. Therefore, news has an its significant in substance when applied to daily-life of the users. This study analyzes based on 16 fields of news-contents. Fashion was a choice for this study after selection of 8 items. Women with an emotional propensity to consume were targeted as an example of the interface of new in the days to come. The user's experience about Fashion news in daily-life was carried out to deduce the elements of design of Fashion news in the days to come. As a result, the needs of user could be classified into classes of interface, flat form.

• International Commerce and Information Review
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• v.17 no.1
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• pp.3-28
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• 2015

Web-ads often distract users' online activities. Web-ads even deter users from comprehending the website contents. As these irritated users try to avoid web-ads, advertising agencies make web-ads even more noticeable to grasp users' attention. The factors that attract users should increase web-ad performance. However, this study confirms that those efforts irritate users and decrease web-ad performance. Also, this study shows that irritated users eventually try to avoid re-visiting the websites. This study also confirms that excessive web-ads on Internet news websites bring more confusion to users than on e-commerce websites. This finding supports the importance of more sustainable web activities on the Internet news websites as users expect objective and fair contents. Based on these results, this study proposes the directions of web-ads activities for the common good and self-interests of the stakeholders.

• Journal of Internet Computing and Services
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• v.3 no.5
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• pp.41-49
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• 2002

Web mining can be broadly defined as the discovery and analysis of useful information from the World Wide Web. In this paper. we tried to analyze a user access pattern and designed a system which can supply useful information to users through the web mining, The proposed system can search the information of users pattern through the web site and news letters, and pass through classification of category through filtering, The fuzzy association rules are applied to the users who access recently, to each category that generated though these processes, and compares the generated sets to each users-access pages set, and it can send appropriate news letter to each user.