• Asia pacific journal of information systems
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• 제21권2호
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• pp.89-116
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• 2011

In collaborative tagging systems such as Delicious.com and Flickr.com, users assign keywords or tags to their uploaded resources, such as bookmarks and pictures, for their future use or sharing purposes. The collection of resources and tags generated by a user is called a personomy, and the collection of all personomies constitutes the folksonomy. The most significant need of the folksonomy users Is to efficiently find useful resources or experts on specific topics. An excellent ranking algorithm would assign higher ranking to more useful resources or experts. What resources are considered useful In a folksonomic system? Does a standard superior to frequency or freshness exist? The resource recommended by more users with mere expertise should be worthy of attention. This ranking paradigm can be implemented through a graph-based ranking algorithm. Two well-known representatives of such a paradigm are Page Rank by Google and HITS(Hypertext Induced Topic Selection) by Kleinberg. Both Page Rank and HITS assign a higher evaluation score to pages linked to more higher-scored pages. HITS differs from PageRank in that it utilizes two kinds of scores: authority and hub scores. The ranking objects of these pages are limited to Web pages, whereas the ranking objects of a folksonomic system are somewhat heterogeneous(i.e., users, resources, and tags). Therefore, uniform application of the voting notion of PageRank and HITS based on the links to a folksonomy would be unreasonable, In a folksonomic system, each link corresponding to a property can have an opposite direction, depending on whether the property is an active or a passive voice. The current research stems from the Idea that a graph-based ranking algorithm could be applied to the folksonomic system using the concept of mutual Interactions between entitles, rather than the voting notion of PageRank or HITS. The concept of mutual interactions, proposed for ranking the Semantic Web resources, enables the calculation of importance scores of various resources unaffected by link directions. The weights of a property representing the mutual interaction between classes are assigned depending on the relative significance of the property to the resource importance of each class. This class-oriented approach is based on the fact that, in the Semantic Web, there are many heterogeneous classes; thus, applying a different appraisal standard for each class is more reasonable. This is similar to the evaluation method of humans, where different items are assigned specific weights, which are then summed up to determine the weighted average. We can check for missing properties more easily with this approach than with other predicate-oriented approaches. A user of a tagging system usually assigns more than one tags to the same resource, and there can be more than one tags with the same subjectivity and objectivity. In the case that many users assign similar tags to the same resource, grading the users differently depending on the assignment order becomes necessary. This idea comes from the studies in psychology wherein expertise involves the ability to select the most relevant information for achieving a goal. An expert should be someone who not only has a large collection of documents annotated with a particular tag, but also tends to add documents of high quality to his/her collections. Such documents are identified by the number, as well as the expertise, of users who have the same documents in their collections. In other words, there is a relationship of mutual reinforcement between the expertise of a user and the quality of a document. In addition, there is a need to rank entities related more closely to a certain entity. Considering the property of social media that ensures the popularity of a topic is temporary, recent data should have more weight than old data. We propose a comprehensive folksonomy ranking framework in which all these considerations are dealt with and that can be easily customized to each folksonomy site for ranking purposes. To examine the validity of our ranking algorithm and show the mechanism of adjusting property, time, and expertise weights, we first use a dataset designed for analyzing the effect of each ranking factor independently. We then show the ranking results of a real folksonomy site, with the ranking factors combined. Because the ground truth of a given dataset is not known when it comes to ranking, we inject simulated data whose ranking results can be predicted into the real dataset and compare the ranking results of our algorithm with that of a previous HITS-based algorithm. Our semantic ranking algorithm based on the concept of mutual interaction seems to be preferable to the HITS-based algorithm as a flexible folksonomy ranking framework. Some concrete points of difference are as follows. First, with the time concept applied to the property weights, our algorithm shows superior performance in lowering the scores of older data and raising the scores of newer data. Second, applying the time concept to the expertise weights, as well as to the property weights, our algorithm controls the conflicting influence of expertise weights and enhances overall consistency of time-valued ranking. The expertise weights of the previous study can act as an obstacle to the time-valued ranking because the number of followers increases as time goes on. Third, many new properties and classes can be included in our framework. The previous HITS-based algorithm, based on the voting notion, loses ground in the situation where the domain consists of more than two classes, or where other important properties, such as "sent through twitter" or "registered as a friend," are added to the domain. Forth, there is a big difference in the calculation time and memory use between the two kinds of algorithms. While the matrix multiplication of two matrices, has to be executed twice for the previous HITS-based algorithm, this is unnecessary with our algorithm. In our ranking framework, various folksonomy ranking policies can be expressed with the ranking factors combined and our approach can work, even if the folksonomy site is not implemented with Semantic Web languages. Above all, the time weight proposed in this paper will be applicable to various domains, including social media, where time value is considered important.

• 지능정보연구
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• 제25권4호
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• pp.141-154
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• 2019

인터넷 기술과 소셜 미디어의 빠른 성장으로 인하여, 구조화되지 않은 문서 표현도 다양한 응용 프로그램에 사용할 수 있게 마이닝 기술이 발전되었다. 그 중 감성분석은 제품이나 서비스에 내재된 사용자의 감성을 탐지할 수 있는 분석방법이기 때문에 지난 몇 년 동안 많은 관심을 받아왔다. 감성분석에서는 주로 텍스트 데이터를 이용하여 사람들의 감성을 사전 정의된 긍정 및 부정의 범주를 할당하여 분석하며, 이때 사전 정의된 레이블을 이용하기 때문에 다양한 방향으로 연구가 진행되고 있다. 초기의 감성분석 연구에서는 쇼핑몰 상품의 리뷰 중심으로 진행되었지만, 최근에는 블로그, 뉴스기사, 날씨 예보, 영화 리뷰, SNS, 주식시장의 동향 등 다양한 분야에 적용되고 있다. 많은 선행연구들이 진행되어 왔으나 대부분 전통적인 단일 기계학습기법에 의존한 감성분류를 시도하였기에 분류 정확도 면에서 한계점이 있었다. 본 연구에서는 전통적인 기계학습기법 대신 대용량 데이터의 처리에 우수한 성능을 보이는 딥러닝 기법과 딥러닝 중 CNN과 LSTM의 조합모델을 이용하여 감성분석의 분류 정확도를 개선하고자 한다. 본 연구에서는 대표적인 영화 리뷰 데이터셋인 IMDB의 리뷰 데이터 셋을 이용하여, 감성분석의 극성분석을 긍정 및 부정으로 범주를 분류하고, 딥러닝과 제안하는 조합모델을 활용하여 극성분석의 예측 정확도를 개선하는 것을 목적으로 한다. 이 과정에서 여러 매개 변수가 존재하기 때문에 그 수치와 정밀도의 관계에 대해 고찰하여 최적의 조합을 찾아 정확도 등 감성분석의 성능 개선을 시도한다. 연구 결과, 딥러닝 기반의 분류 모형이 좋은 분류성과를 보였으며, 특히 본 연구에서 제안하는 CNN-LSTM 조합모델의 성과가 가장 우수한 것으로 나타났다.

• 벤처혁신연구
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• 제5권3호
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• pp.57-70
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• 2022

현대의 산업자본주의는 근로의 제공과 임금의 수령이라는 관계가 사회를 규율하는 중요한 원리로 자리 잡고 있다. 근로계약에 따라 자신의 노동력에 대한 처분권을 사용자에게 맡기고 제공받는 임금은 직접적인 보상이 되고 있으며, 적절한 휴식의 보장으로 인간다운 삶의 보장과 재생산을 할 수 있어야 한다. 자유계약에 의한 근로관계의 구축은 근로자 보호에 문제점을 나타내고 있으며, 이에 따라 근로자에 대한 최소한의 권리로 근로시간의 최대치를 정하고 최소휴식의 기준을 설정·부여하고 있다. 근로시간의 단축은 근로자의 삶의 질이라는 측면에서 매우 중요하지만 효율적인 기업활동에 있어서도 중요한 문제이다. 우리나라는 2020년 기준 연간 근로시간이 1,908시간으로 장시간 근로를 하고 있으며, UN산하 자문기구인 지속가능발전해법네트워크(SDSN)가 조사한 행복지수에서 OECD 37개국 중에서 하위 3번째로 나타나고 있다. 이에 따라 근로시간 단축의 필요성은 인정되어, 2018년부터 1주의 최대 근로시간이 52시간으로 제한하고 있다. 이러한 상황에서 기업의 부가가치 창출력을 유지하고, 근로자의 다양한 니즈에 부응하기 위한 방안으로 법적으로 다양한 근로시간의 예외를 두고 있으며, 우리나라 근로기준법은 3개월 이내의 탄력적 근로시간제와 3개월을 초과하는 탄력적 근로시간제, 선택적 근로시간제와 근로시간의 연장을 허용하는 연장근로의 제한을 두어 이를 허용하고 있다. 하지만 2021년 개정된 탄력적 근로시간제를 적용하는 것과 최근 논의되고 있는 정산 단위기간의 확대에 대한 논의에서 탄력적 근로시간제의 문제점이 있어 이에 대한 개선이 필요하다. 따라서 본 논문은 탄력적 근로시간제의 문제점과 이에 때한 개선방안을 살펴보고자 한다. 탄력적 근로시간제는 미리정한 기준에 따라 특정일 또는 특정주에 법정근로시간을 초과하더라도 근로기준법에서 정하고 있는 근로시간에 위배되는 것이 아님과 동시에 초과한 연장근로에 대한 가산임금을 지급하지 않아도 되는 제도로 주로 계절별 시기별 업무량 편차가 심한 제조업, 판매서비스업, 연속사업이나 장기간 조업을 위한 전기·가스·수도, 운수업 등에 있어 교대근무형태로 유용하게 활용되고 있으며, 운용에 따라 보다 짧은 근무일 설정을 통한 휴일 확대 등 근로시간 단축의 방편으로 활용되기도 한다. 하지만 정산 단위기간을 확대할 경우 근로자가 수령할 수 있는 가산임금을 수령하지 못하게 되어 근로자에게 불리하다. 따라서 첫째, 현재 논의되고 있는 정산 단위기간 확대를 하려면 현행 기준에서 확대되는 기간에 대하여 추가임금 지급을 하도록 하여야 한다. 둘째, 탄력적 근로시간제의 개별근로자에 대한 적용을 개선하여 근로자대표와의 서면합의에 있어 개별근로자와 충분한 협의를 하도록 하는 조치가 필요하고, 셋째, 정산 단위기간 동안 연장 근로의 허용시간을 명확히 하여야 하며, 넷째, 1일 최대근로시간이 정해지지 않고 있어 근로시간의 한도를 최대 근로시간으로 제한하거나 연속휴식에 대한 적용이 필요하며, 추가적으로 근로자대표의 서면합의가 탄력적 근로시간제의 적용에 있어 중요한 문제이므로 근로자대표의 대표성을 확보하여야 할 것이다.

• 한국직업건강간호학회지
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• 제3권호
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• pp.54-70
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• 1993

According as the automation of clerical work(OA ; Office Automation) develops, the use of VDT(Visual or Video Display Terminal) is increasing suddenly. But, in proportion to the spread of office automation(OA tendency), the self-conciousness syptom attendant upon the work is appearing also (Kim, Jung Tae, Lee, Young Ook, 1990). The apparatuses of office enable the clerical workers to be convenient and perform mass businesses. But, they are increasing the opportunity to be exposed to VDT syndrom, techno stress, computer terminal disease, pain by muscle strain(RSI), bradycausia of noise nature, and electromagnetic waves, etc. which are referred to as the new type of occupational diseases to the workers. It is the real situation that the workers to use VDT is complaining of the physical inconvenience sense in the recent newspaper and literature, it is the point of time that the sydrome to come from VDT use and computer terminal disease, etc. must be classified into the occupational disease(Lee, Kwang Young 1990, Lee, Kyoo Hak 1990, Lee, Won Ho 1991, Lee, Si Young 1991, Lee, Joon 1991, Choi, Young Tae 1991, Heo, Seung Ho 1989). In addition, it is the real situation that the scientifitic study result about the scope that electromagnetic waves has influence on the human body has not been suggested yet, and criticism on the stable exposure permission standard about electromagnetic waves to be emitted from VDT and on the problem in the health about electromagnetic waves is continuing. (IEEE Spectrum, 1990). In addition according to the experience of nursery business of industry field, it is the real situation that the patients who consult complaining of physical and mental inconvenience sence, among the users of apparatus of office automation, are reaching 10% of the patients coming to doctor's room. Therefore, it is necessary to confirm the self-consciousness symptom that the clerical workers complain of multilaterally with the actual state examination about the use of the apparatuses of offices automaton. Thus, this study was tried as th basic data for the cosultation and education for the maintenance and furtherance of the health of workers as the nurse of industry field, by confirming the contents of self-consciousness symptom attendant upon the use of the apparatus for office outomation making the financial institution in which the spparatus for office automation in most frequently used as the subject, and by examining whether there is the difference according to the subject of study, the data were collected, by using the questionnaire method, making 200 workers who consented to the study participation as the subject, among the persons who have spent over 3 months since they used the apparatuses for office automation and didn't receive the treatment in hospital due to the clerical disease for recent 3 years. The period of data collection was from Oct. 9, 1991 to Oct. 12. As for the measurement instrument about the complaint if self-consciousness symptom attendant upon the use of apparatuses fo office automation, the question item on the complaint symptom of health problem attendant upon the treatment of VDT that Kim(1991) developed and on CMI health problem and the question items on the fatigue degree due to industry were used by previous examination to 25 persons. Collected data were analyzed with the statistical method such as percentage, arithmetic mean, Person correlation coeffient, Kai square verfication, t-test, ANOVA, etc. by using SPSS/PC+ program, and the result is as follows : 1. The self-consciousness symptom that the clerical workers complained of most frequetly appeared high in 'My eyes are tired'(99.4%), 'I feel fatigue and weariness'(99.4%), 'I feel that my head is heavy5(90.0%), 'eyesight fell'(88.8%), 'I have a stiff neck'(88.8%), 'I fell pain in the shoulder'(85.0%), 'I feel cold and painful in the eyes'(76.9%), 'I feel the dry sense of eyeball'(76.2%), 'My nerves are edgy, and I an fretful, (75.6%), 'I feel pain in the waist'(73.2%) and 'I fell pain in the back'(72.8%). It emerged that the subject use the apparatuses for office automation complained of self-consciousness symptoms related to visual symptoms and musculoskeletal symptoms. 2. As for the general feature of examination subjects, the result to see the distribution by classifying into sex, age, school career, use career of apparatuses for office automation, skillfulness degree of the use of apparatus for office automation, use hours of the apparatuses for office automation per 1 day, type of business of the apparatus for office automation, rest hours during the use of apparatus for office automation, satifaction degree of business of office automation, and work circumstance, etc. emerged as follows : As for the sex of subjects, the distribution showed that men were 58.8% and women were 41.3%, Age was average 26.9. As the distribution of school career, the distribution showed that4below the graduation of high school' was 58.8%, 'graduation from junior college-university' was 35.0%, and 'over graduate school' was 6.3%. In the question to ask the existence or non-existence of experience of health consultation in connection with the work of office automation, the response that I had the consultation exprience and I feel the necessity emergerd as 90.1% And, the case that the subject who didn't wear the glasses or lens before using the OA apparatus wear glasses or lens after using OA apparatus emerged as 28.3% of whole. As for the existence or non-existence of use career of OA apparatus, the case under 3 years was highest as 52. 7%. As for the skillfulnness degree about the use of apparatus for office automation, most of them are skillful with the fact that 'common' was 44.4%, 'skill' was 42.5%, and 'unskillful' was 13.1% As for the use average hours of the apparatus for office automation per 1 day, the distribution showed that the case under 3-6 hours was 33.1%, the case under 6-9 hours was 28.1%, the case under 3 hours was 30.6%, and the case over 9 hours was 8.1% Main OA business and the use hours for 1 day showed in the order of keeping and retrieval, business of information transmission(162min), business of information transmission(79.3 min), business of document framing(55.5 min), and business of duplication and printing(25.4min). as for the rest during the use of apparatus for affice automation, that I take rest occasion demands the major portion, but that I take after completing the work emerged as 33.8%. Though the subiness gets to be convenient by the use of the apparatus for of office automation, respondents who showed the dissatisfaction about the present OA business emergd high as 78.1%. The work circumstances of each office was good with the fact that the temperature of office was 21.8, noise was average 42.7db, and the illumination was average 364.4 lx, in the light of ANSi/HFS 100 Standard. 3. Sight syptom, musculoskeletal symptom, skin and other symptoms showed the significant difference according to the extent of skillfulness of the apparatus for office automation. All the symptoms exept skin symptom showed the difference according to the use hours of the apparatus for office automation. All the question items exept the sytoms of digestive organs and the rest hours during the apparatus for office automation showed the signicant difference. The question item which showed the signicant difference from the satisfaction degree of present OA business showed the significant difference from all the question item classified into 6 groups. But, age and school career didn't significant difference from the complaint of any self-consciousness symptoms.