• Title, Summary, Keyword: Subjectivity

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Three meanings implied by Thomas Aquinas' "intellectualism" (토마스 아퀴나스의 '지성주의(주지주의)'가 내포하는 3가지 의미 - 『진리론(이성, 양심과 의식)』을 중심으로 -)

  • Lee, Myung-gon
    • Journal of Korean Philosophical Society
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    • v.148
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    • pp.239-267
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    • 2018
  • In the matter of ethical and moral practice, Thomas Aquinas's thought is called "intellectualism". It does not mean only that intelligence is more important than will in moral practice, but that it has epistemological, metaphysical, and psycho-psychological implications significance. The first means affirming "the first principles of knowing" as the problem of certainty of knowing. In Thomism, there are surely above suspicion notions in the domain of practice as well as in the domain of reason, which are obviously self-evident, and because of that certainty, they become the basis of certainty of all other knowings that follow. The principle to know these knowings is the first principle of knowing, reason and Synderesis(conscience). Therefore, the "intellectualism" of Tomism is the basis for providing the ground of metaphysics. In the case of reason, it is classified into superior reason and inferior reason according to whether it is object. The object of higher reason is "metaphysical object" which human natural reason can not deal with. This affirmation of superior reason provides a basis for human "autonomy" in the moral and religious domain. This is because even in areas beyond the object of natural reason, it is possible to derive certain knowledge through self-reasoning, and thus to be able to carry out the act through their own choosing. Likewise, for Thomas Aquinas, "Synderesi" as the first principle of good and evil judgment can be applied to both the superior reason and the inferior reason, and thus, except for the truth by the direct divine revelation, precedes any authority of the world, scrupulous Act always guarantees truth and good. This means "subjectivity" that virtually in the act of moral practice, it can become the master of one's act. Furthermore, "consciousness(conscientia)", which means the ability to comprehend everything in a holistic and simultaneous manner, is based on conscience(synderesis). So, at least in principle, correct behavior or moral behavior in Tomism is given firstly in correct knowledge. Therefore, it can be said that true awareness (conscious awareness) in Thomas Aquinas's thought coincide with practical practice, or at least knowledge can be said to be a decisive 'driver' for practice. This will be the best explanation of the definition of "intellectualism" by Thomism.

Thought of ChunChu and a practical solution of Song Joon Kil (동춘당 송준길의 춘추정신과 현실 대응)

  • Kim, Moon Joon
    • The Journal of Korean Philosophical History
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    • no.50
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    • pp.37-74
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    • 2016
  • Song Joon Kil(宋浚吉, 1606-1672) intended to establish the subjectivity of people as a "Great Justice". He declared that at that time "Great Justice" was meant to respect 'Ming(明)' and reject 'Ching'(淸). He understood 'Ching' as a country which destroyed the human community and reasoned that if we put Ching's uncivilized behavior out of our mind in favor of the pursuit of present existence and merits, a temporary peace may be got but eternal peace and stability would not be achieved. 'Ming' doesn't refer only to the name of a country, but a country with the capacity to perform 'humanity and justice' with a human culture. On the other hand, he considered 'Ching' to signify the uncivilised country that destroyed or repressed the humanity and peaceful order of the world. He thought the international order can only be maintained under the organization respectful and protective of humanity. He believed a country should act to unify the whole world guaranteeing life and stability. He possessed this cultivated spirit which acted to protect the civilised world from the perils of an uncivilised world. But because of the great famine for a lot of years and the international state(Ming was regressing, and Ching was continuing to make rapid strides) was timely unsuitable to revenge and to wash the shame off. So Song propeled to stabilize the government and to strengthen the national ethics. Song focused on administering the domestic affairs. To him a high priority was a internal affairs, and a low priority was a external affairs[military aggression]. Song considered 'providing for the welfare of the people'(安民) before 'pushing ahead with military aggression'(外攘). And a high priority was 'restoring the people'(養民), a low priority was 'the military affairs'(治兵). Song regarded 'domestic affairs'(內治) as a fundamental affairs. He putted 'to nurse people'(養民) and 'to straighten King's mind'(格君心) first, than 'to buildup military'. His foreign policy was 'respecting Ming' and 'rejecting Ching'. Song was bothered about defining Chosun dynasty's moral obligations to the southern Ming government(1644~46) at Nanjing at that time.

A Study on Transformed "Shimcheong-jeon" in The Juvenile Literature - focusing on juvenile literature since the 2000s - (<심청전>의 어린이문학 변용 양상 - 2000년대 이후 창작동화를 중심으로 -)

  • Jin, Eun-jin
    • (The) Research of the performance art and culture
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    • no.36
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    • pp.223-253
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    • 2018
  • The purpose of this study is to examine how the Korean classic novel "Shimcheong-jeon" has transformed in juvenile literature since the 2000s. Classical novels are far from modern and temporal, differ from modern cultures. Classic novels are also different from the lives and thoughts of modern children. It is therefore difficult for modern child readers to easily understand or agree with classical novels. In order for classical novels to have the meaning in the present, it is necessary to pay attention to the encounter between classical novels and children's literature. In the case of "Shimcheong-jeon", unlike other classical novels, there are many creative fairy tales. There are seven kinds of fairy tales that transformed "Shimcheong-jeon". They are diverse in genres such as picture books, fairy tales, and juvenile fiction, and are intended for a variety of ages. These works are described in various perspectives such as, Shimcheong who is full of desire, Shim Hakgyu who is disabled, Ppaengdeog's mother who has maternity and subjectivity, The dragon of the dragon king and Byeogdeog who loves Shimcheong, and Shin Cheong who has a dream. The themes of the works vary. So, These works extend our expectations for classical literature. Fairy tales that transformed "Shimcheong-jeon" reflect the lives of children and youths, this is important because it can reduce the distance between classical novels and children and youth readers. Classical novels are modernized and give new meaning to modern children and youths. And it reflects the characteristics of the novels of Pansori's "Shimcheong-jeon", preserving the value of classics. Tears of Paengdeok is a story that explains the origin of Pansori "Shimcheong-ga", and inserts some lyrics of Pansori, in the case of Cheong, Cheong, Pansori style is used. Although humor is the greatest feature of pansori, there are few of Fairy tales that transformed "Shimcheong-jeon". It is a direction to worry and to orient when transforming "Shimcheong-jeon" into a fairy tale.

Analysis of Evaluator's Role and Capability for Institution Accreditation Evaluation of NCS-based Vocational Competency Development Training (NCS 기반 직업능력개발훈련 기관인증평가를 위한 평가자의 역할과 역량 분석)

  • Park, Ji-Young;Lee, Hee-Su
    • Journal of vocational education research
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    • v.35 no.4
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    • pp.131-153
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    • 2016
  • The purpose of this study was to derive evaluator's role and capability for institution accreditation evaluation of NCS-based vocational competency development training. This study attempted to explore in various ways evaluator's minute roles using Delphi method, and to derive knowledge, skill, attitude and integrity needed to verify the validity. To the end, this study conducted the Delphi research for over three rounds by selecting education training professionals and review evaluation professions as professional panels. From the results, roles of evaluators were defined as the total eight items including operator, moderator-mediator, cooperator, analyzer, verifier, institution evaluator, institution consultant, and learner, and the derived capabilities with respect to each role were 25 items in total. The area of knowledge included four items of capabilities such as HRD knowledge, NCS knowledge, knowledge of vocational competency development training, and knowledge of training institution accreditation evaluation, and the area of skill comprised fourteen items of capabilities such as conflict management ability, interpersonal relation ability, word processing ability, problem-solving ability, analysis ability, pre-preparation ability, time management ability, decision making ability, information comprehension and utilization ability, comprehensive thinking ability, understanding ability of vocational competency development training institutions, communication ability, feedback ability, and core understanding ability. The area of attitude was summarized with the seven items in total including subjectivity and fairness, service mind, sense of calling, ethics, self-development, responsibility, and teamwork. The knowledge, skill and attitude derived from the results of this study may be utilized to design and provide education programs conducive to qualitative and systematic accreditation and assessment to evaluators equipped with essential prerequisites. It is finally expected that this study will be helpful for designing module education programs by ability and for managing evaluator's quality in order to perform pre-service education and in-service education according to evaluator's experience and role.

KNU Korean Sentiment Lexicon: Bi-LSTM-based Method for Building a Korean Sentiment Lexicon (Bi-LSTM 기반의 한국어 감성사전 구축 방안)

  • Park, Sang-Min;Na, Chul-Won;Choi, Min-Seong;Lee, Da-Hee;On, Byung-Won
    • Journal of Intelligence and Information Systems
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    • v.24 no.4
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    • pp.219-240
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    • 2018
  • Sentiment analysis, which is one of the text mining techniques, is a method for extracting subjective content embedded in text documents. Recently, the sentiment analysis methods have been widely used in many fields. As good examples, data-driven surveys are based on analyzing the subjectivity of text data posted by users and market researches are conducted by analyzing users' review posts to quantify users' reputation on a target product. The basic method of sentiment analysis is to use sentiment dictionary (or lexicon), a list of sentiment vocabularies with positive, neutral, or negative semantics. In general, the meaning of many sentiment words is likely to be different across domains. For example, a sentiment word, 'sad' indicates negative meaning in many fields but a movie. In order to perform accurate sentiment analysis, we need to build the sentiment dictionary for a given domain. However, such a method of building the sentiment lexicon is time-consuming and various sentiment vocabularies are not included without the use of general-purpose sentiment lexicon. In order to address this problem, several studies have been carried out to construct the sentiment lexicon suitable for a specific domain based on 'OPEN HANGUL' and 'SentiWordNet', which are general-purpose sentiment lexicons. However, OPEN HANGUL is no longer being serviced and SentiWordNet does not work well because of language difference in the process of converting Korean word into English word. There are restrictions on the use of such general-purpose sentiment lexicons as seed data for building the sentiment lexicon for a specific domain. In this article, we construct 'KNU Korean Sentiment Lexicon (KNU-KSL)', a new general-purpose Korean sentiment dictionary that is more advanced than existing general-purpose lexicons. The proposed dictionary, which is a list of domain-independent sentiment words such as 'thank you', 'worthy', and 'impressed', is built to quickly construct the sentiment dictionary for a target domain. Especially, it constructs sentiment vocabularies by analyzing the glosses contained in Standard Korean Language Dictionary (SKLD) by the following procedures: First, we propose a sentiment classification model based on Bidirectional Long Short-Term Memory (Bi-LSTM). Second, the proposed deep learning model automatically classifies each of glosses to either positive or negative meaning. Third, positive words and phrases are extracted from the glosses classified as positive meaning, while negative words and phrases are extracted from the glosses classified as negative meaning. Our experimental results show that the average accuracy of the proposed sentiment classification model is up to 89.45%. In addition, the sentiment dictionary is more extended using various external sources including SentiWordNet, SenticNet, Emotional Verbs, and Sentiment Lexicon 0603. Furthermore, we add sentiment information about frequently used coined words and emoticons that are used mainly on the Web. The KNU-KSL contains a total of 14,843 sentiment vocabularies, each of which is one of 1-grams, 2-grams, phrases, and sentence patterns. Unlike existing sentiment dictionaries, it is composed of words that are not affected by particular domains. The recent trend on sentiment analysis is to use deep learning technique without sentiment dictionaries. The importance of developing sentiment dictionaries is declined gradually. However, one of recent studies shows that the words in the sentiment dictionary can be used as features of deep learning models, resulting in the sentiment analysis performed with higher accuracy (Teng, Z., 2016). This result indicates that the sentiment dictionary is used not only for sentiment analysis but also as features of deep learning models for improving accuracy. The proposed dictionary can be used as a basic data for constructing the sentiment lexicon of a particular domain and as features of deep learning models. It is also useful to automatically and quickly build large training sets for deep learning models.

A Folksonomy Ranking Framework: A Semantic Graph-based Approach (폭소노미 사이트를 위한 랭킹 프레임워크 설계: 시맨틱 그래프기반 접근)

  • Park, Hyun-Jung;Rho, Sang-Kyu
    • Asia pacific journal of information systems
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    • v.21 no.2
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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.

Directions of Implementing Documentation Strategies for Local Regions (지역 기록화를 위한 도큐멘테이션 전략의 적용)

  • Seol, Moon-Won
    • The Korean Journal of Archival Studies
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    • no.26
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    • pp.103-149
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    • 2010
  • Documentation strategy has been experimented in various subject areas and local regions since late 1980's when it was proposed as archival appraisal and selection methods by archival communities in the United States. Though it was criticized to be too ideal, it needs to shed new light on the potentialities of the strategy for documenting local regions in digital environment. The purpose of this study is to analyse the implementation issues of documentation strategy and to suggest the directions for documenting local regions of Korea through the application of the strategy. The documentation strategy which was developed more than twenty years ago in mostly western countries gives us some implications for documenting local regions even in current digital environments. They are as follows; Firstly, documentation strategy can enhance the value of archivists as well as archives in local regions because archivist should be active shaper of history rather than passive receiver of archives according to the strategy. It can also be a solution for overcoming poor conditions of local archives management in Korea. Secondly, the strategy can encourage cooperation between collecting institutions including museums, libraries, archives, cultural centers, history institutions, etc. in each local region. In the networked environment the cooperation can be achieved more effectively than in traditional environment where the heavy workload of cooperative institutions is needed. Thirdly, the strategy can facilitate solidarity of various groups in local region. According to the analysis of the strategy projects, it is essential to collect their knowledge, passion, and enthusiasm of related groups to effectively implement the strategy. It can also provide a methodology for minor groups of society to document their memories. This study suggests the directions of documenting local regions in consideration of current archival infrastructure of Korean as follows; Firstly, very selective and intensive documentation should be pursued rather than comprehensive one for documenting local regions. Though it is a very political problem to decide what subject has priority for documentation, interests of local community members as well as professional groups should be considered in the decision-making process seriously. Secondly, it is effective to plan integrated representation of local history in the distributed custody of local archives. It would be desirable to implement archival gateway for integrated search and representation of local archives regardless of the location of archives. Thirdly, it is necessary to try digital documentation using Web 2.0 technologies. Documentation strategy as the methodology of selecting and acquiring archives can not avoid subjectivity and prejudices of appraiser completely. To mitigate the problems, open documentation system should be prepared for reflecting different interests of different groups. Fourth, it is desirable to apply a conspectus model used in cooperative collection management of libraries to document local regions digitally. Conspectus can show existing documentation strength and future documentation intensity for each participating institution. Using this, documentation level of each subject area can be set up cooperatively and effectively in the local regions.