• International Journal of Naval Architecture and Ocean Engineering
• /
• v.6 no.3
• /
• pp.598-625
• /
• 2014

To support the procedure for determining an optimal liquefaction cycle for FLNG FEED, an ontological modeling method which can automatically generate various alternative liquefaction cycles were carried out in this paper. General rules in combining equipment are extracted from existing onshore liquefaction cycles like C3MR and DMR cycle. A generic relational model which represents whole relations of the plant elements has all these rules, and it is expressed by using the system entity structure (SES), an ontological framework that hierarchically represents the elements of a system and their relationships. By using a process called pruning which reduces the SES to a candidate, various alternative relational models of the liquefaction cycles can be automatically generated. These alternatives were provided by XML-based formats, and they can be used for choosing an optimal liquefaction cycle on the basis of the assessments such as process simulation and reliability analysis.

• Journal of Korean Institute of Industrial Engineers
• /
• v.37 no.3
• /
• pp.264-270
• /
• 2011

A new method for creating a logical data model is proposed. The logical data model developed by the method defines table, primary key, foreign key, and fields. The framework of the logical data model is constructed by modeling the relationships between events and their related entity types. The proposed method consists of a series of objective and quantitative decisions such as maximum cardinality of relationships and functional dependency between the primary key and attributes. Even beginners to database design can use the methology as long as they understand such basic concepts about relational databases as primary key, foreign key, relationship cardinality, parent-child relationship, and functional dependency. The simple and systematic approach minimizes decision errors made by a database designer. In practial database design the method creates a logical data model in Boyce-Codd normal form unless the user of the method makes a critical decision error, which is very unlikely.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.04b
• /
• pp.1111-1114
• /
• 2002

최근 정보추출에 대한 중요성이 점차 증가하면서 정보추출에서 필요로 하는 Named Entity와 Coreference, Information Extraction, Information Retrieval의 소개와 한국어에 대해 적용시키기 위한 정의와 방법을 제시한다. 또한, 대량의 문서에 대한 태깅을 효율적으로 수행할 수 있도록 Named Entity와 Coreference 태깅을 쉽게 할 수 있는 NE-CO 태깅 도구를 개발하였다. 이 태깅 도구를 이용하여 시험적으로 경제, 공연, 여행 분야의 300문서에 대한 말뭉치를 구축하였으며, 이 말뭉치는 한국어 정보추출 시스템을 개발하는데 기초 자료로서 활용될 예정이다.

• MALSORI
• /
• no.58
• /
• pp.45-66
• /
• 2006

In this paper, a rule-based (transformation-based) NE recognition system is proposed. This system uses Brill's rule inference approach. The performance of the rule-based system and IdentiFinder, one of most successful stochastic systems, are compared. In the baseline case (no punctuation and no capitalisation), both systems show almost equal performance. They also have similar performance in the case of additional information such as punctuation, capitalisation and name lists. The performances of both systems degrade linearly with the number of speech recognition errors, and their rates of degradation are almost equal. These results show that automatic rule inference is a viable alternative to the HMM-based approach to NE recognition, but it retains the advantages of a rule-based approach.

• Journal for History of Mathematics
• /
• v.32 no.1
• /
• pp.17-25
• /
• 2019

This essay elucidates the way the geometries of space-time theories explain material bodies' motions. A conventional attempt to interpret the way that space-time geometry explains is to consider the geometrical structure of space-time as involving a causally efficient entity that directs material bodies to follow their trajectories corresponding to the laws of motion. Newtonian substantival space is interpreted as an entity that acts but is not acted on by the motions of material bodies. And Einstein's curved space-time is interpreted as an entity that causes the motions of bodies. This essay argues against this line of thought and provides an alternative understanding of the way space-time geometry explain the laws of motion. The workings of the way that Newton's flat and Einstein's curved space-time explains the law of motion is such that space-time geometry encodes the principle of inertia which specifies straight lines of moving bodies.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.847-854
• /
• 2022

The aim of this study is to develop a Named Entity Recognition (NER) model to automatically identify construction-related organizations from news articles. This study collected news articles using web crawling technique and construction-related organizations were labeled within a total of 1,000 news articles. The Bidirectional Encoder Representations from Transformers (BERT) model was used to recognize clients, constructors, consultants, engineers, and others. As a pilot experiment of this study, the best average F1 score of NER was 0.692. The result of this study is expected to contribute to the establishment of international business strategies by collecting timely information and analyzing it automatically.

• International journal of advanced smart convergence
• /
• v.12 no.2
• /
• pp.34-46
• /
• 2023

A growing number of large scale knowledge graphs raises several issues how knowledge graph data can be organized, discovered, and integrated efficiently. We present a novel semantic-based mashup platform for contents convergence which consists of acquisition, RDF storage, ontology learning, and mashup subsystems. This platform servers a basis for developing other more sophisticated applications required in the area of knowledge big data. Moreover, this paper proposes an entity matching method using graph convolutional network techniques as a preliminary work for automatic classification and discovery on knowledge big data. Using real DBP15K and SRPRS datasets, the performance of our method is compared with some existing entity matching methods. The experimental results show that the proposed method outperforms existing methods due to its ability to increase accuracy and reduce training time.

• Annual Conference on Human and Language Technology
• /
• 2020.10a
• /
• pp.124-127
• /
• 2020

관계 추출은 문장에서 두 개의 엔티티가 주어졌을 때 두 개의 엔티티에 대한 의미적 이해를 통해 관계를 분류하는 작업이다. 이와 같이 관계 추출에서 관계를 분류하기 위해서는 두 개의 엔티티에 대한 정보가 필요하다. 본 연구에서는 관계 추출을 하기 위해 문장에서 엔티티들의 표현을 다르게하여 관계 추출의 성능을 비교 실험하였다. 첫번째로는 문장에서 [CLS] 토큰(Token)으로 관계를 분류하는 Standard 엔티티 정보 표현과 두번째로는 엔티티의 앞과 뒤에 Special Token을 추가하여 관계를 분류하는 Entity-Markers 엔티티 정보 표현했다. 이를 기반으로 문장의 문맥 정보를 학습한 사전 학습(Pre-trained)모델인 BERT-Large와 ALBERT-Large를 적용하여 실험을 진행하였다. 실험 결과 Special Token을 추가한 Entity-Markers의 성능이 높았으며, BERT-Large에서 더 높은 성능 결과를 확인하였다.

• ETRI Journal
• /
• v.46 no.1
• /
• pp.59-70
• /
• 2024

We introduce a high-performance named entity recognition (NER) model for written and spoken language. To overcome challenges related to labeled data scarcity and domain shifts, we use transfer learning to leverage our previously developed KorBERT as the base model. We also adopt a meta-pseudo-label method using a teacher/student framework with labeled and unlabeled data. Our model presents two modifications. First, the student model is updated with an average loss from both human- and pseudo-labeled data. Second, the influence of noisy pseudo-labeled data is mitigated by considering feedback scores and updating the teacher model only when below a threshold (0.0005). We achieve the target NER performance in the spoken language domain and improve that in the written language domain by proposing a straightforward rollback method that reverts to the best model based on scarce human-labeled data. Further improvement is achieved by adjusting the label vector weights in the named entity dictionary.

• Journal of the Daesoon Academy of Sciences
• /
• v.21
• /
• pp.99-156
• /
• 2013

This paper is to indicate research tendencies of faith in Daesoonjinrihoe and controversial points of those, and to consider the outlook on Sangje after defining it as theological understanding and explanation for Gu-Cheon-Sang-Je (High-est ruling Entity that is the object of devotion in Daesoon-jinrihoe). As the first introduction to the work, various descriptions for Sangje are arranged and the meanings of those are analyzed. In brief, first, the name of Gu-Cheon-Eung-Won-Nweh-Seong-Bo-Hwa-Cheon-Jon, expresses the fact that the authority of Sangje (the Supreme Entity) is exposed by spatial concept Sangje dwells in Ninth Heaven. This fact can be compared with the doctrines Allah in Islam and Jehovah in Christianity each are dwelled in Seventh Heaven. And the name shows Sangje is the ruler who reigns over the universe by using yin and yang. Second, the name, Gu-Cheon-Eung-Won-Nweh-Seong-BoHwa-Cheon-Jon, is imported from China Taoism because it has been in Ok-Chu-Gyeong (the Gaoshang shenlei yushu). But in fact it's root is in Korea because Buyeo and Goguryeo, the ancient Korean nations, have the source of the name. While the name is not the Supreme Entity in China Taoism, it is the Supreme Entity in Daesoonjinrihoe. This fact is a important difference. Third, arbitrarily or not, the name, Gu-Cheon-Eung-Won-Nweh-Seong-Bo-Hwa-Cheon-Jon, is put on the image of 'resolution of grievances'. The reason is that many peoples in Korea and China has called the name for about 1,000 years ago to help their fortunes and escape predicaments. Forth, not only Gu-Cheon-Eung-Won-Nweh-Seong-Bo-Hwa-Cheon-Jon but also the name, Three Pure Ones and Ok-Cheon-Jin-Wang (Yuqingzhenwang) in China Taoism used as the Highest ruling Entity in Daesoonjinrihoe. But the relations between three Pure Ones and Ok-Cheon-Jin-Wang and Gu-Cheon-Eung-Won-Nweh-Seong-Bo-Hwa-Cheon-Jon in Dae-soonjinrihoe are different from that in China Taoism. Fifth, Sangje is associated with the Polaris divinity of Tae-Eul, view on God in Oriental Cosmology. The description Tae-Eul as well as Gu-Cheon-Eung-Won-Nweh-Seong-Bo-Hwa-Cheon-Jon is indicated Sangje is linked to the faith of Buyeo and Goguryeo. Sixth, Sangje is not only Mugeuk-Sin (The God of The Endless) who supervise the Endless but also Taegeuk-Ji-Cheon-Jon (The God of The Ultimate Reality) who supervise the Ultimate Reality. These descriptions directly display the fact Sangje is a creator. Seventh, in case explaining Sangje, the point of view is necessary that grasps the whole viewpoints Sangje 'was' Hidden God(deus otiosus) and 'is' Unhidden God after Incarnation. Eighth, Sangje is Cheon-Ju in Donghak, but different from that. Cheon-Ju in Donghak has both transcendence and immanence in tightrope tension, but Cheon-Ju in Daesoonjinrihoe emphasize transcendence than immanence. That difference is the result of the fact Cheon-Ju in Donghak was a being having revealed a man and Cheon-Ju in Daesoonjinrihoe was a being having incarnated after revealing a man. Ninth, Sangje is Gae-Byeok-Jang who is the manager of the transforming and ordering the Three Realms of the World by the Great Do which is the mutual beneficence of all life and Hae-Won-Sin who is the God of resolution of grievances.