• Title/Summary/Keyword: Entity

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Probabilistic based Web Contents Mining (확률 기반 웹 콘텐츠 마이닝)

  • Yun, Bo-Hyun;Cho, Kwang-Moon
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.16-20
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    • 2006
  • In Web contents mining, it is important to recognize the unlabeled entities and to integrate the sub-linked information and the extracted results. This paper presents the probabilistic based method which can recognize the unlabeled entity by using the Baysien model. Moreover, we propose the method that can use the information of the sub-linked web pages and integrate the extracted results. In the experimental results, we can see that the probabilistic based entity and information integration show the most significant precision.

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Two Cases of Choristoma in Base of the Tongue (설기저부에 발생한 골성 분리종 2예)

  • Jung Ki-Nam;Chun Jin-Hyoung;Choi Young-Hee;Park Chan-Hum
    • Korean Journal of Head & Neck Oncology
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    • v.20 no.1
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    • pp.49-51
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    • 2004
  • A choristoma is a tumor like mass of normal tissue in an abnormal location. Lingual osseous choristoma, previously known as osteoma of the tongue base, is rare entity. That is defined as a normal bone mass occuring in the soft tissue of either the skin or the mucosa of oral cavity. The cause of osseous choristoma of the tongue is still unknown, but only several theories have been suggested. Because of the rarity of this entity, our purpose is to add our case to the literature, and to discuss the nature of the disease.

An Experimental Research on the Design Characteristics and Performance of the Entity-Relationship Model (개체관계 모형의 설계 특성과 성과에 관한 실험적 연구)

  • 정일주
    • The Journal of Information Technology and Database
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    • v.6 no.2
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    • pp.45-57
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    • 1999
  • This paper makes an attempt to find a systematic portion of the database design process, especially using the Entity-Relationship(E-R) model. Basically, we consider three aspects as a systematic portion of the database design process. They are, the strategy that a designer selects to design an E-R diagram, designer's cognitive style, and the knowledge and preference of the database designer. An experiment has been carried out in order to verify the systematic relationship between above-mentioned three aspects and the E-R modeling performance. The target system is a professional baseball system. A normative E-R diagram was constructed based upon 48 E-R diagrams produced during the experiment. The ANOVA process has been used to analyze the results. It has been found that there exist significant differences in query-answering capacity and the completeness of the E-R model among design methods. Individual differences in cognitive styles has not been found to be significantly related to the modeling performance.

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ebXML Collabration Model of Single Window for Marine Transport

  • Lee, Young-Chan;Ahn, Kyeong-Rim
    • Journal of Advanced Marine Engineering and Technology
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    • v.31 no.3
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    • pp.301-309
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    • 2007
  • Netherlands had suggested a uniform system to standardize and simplify EDI systems relating to the Arrival/Departure, stay, and clearance of ships, persons, and cargoes for the Facilitation of International Maritime Transport to the International Maritime Organization(IMO). Republic of Korea proposed the Framework of XML-based Single Window System for the simplified clearance of ships to the 32nd session of Facilitation Committee of the IMO. Accordingly the authors studied that the XML Infrastructure for Single Window efficiently supports the Single Window service and the business collaboration between business entities of logistics. The proposed XML Infrastructure designs to support the various document format translation and to easily manage. Therefore business entity using the proposed system has the effect of downing the resource and costs on using Single Window.

Named Entity Recognition Using Bidirectional LSTM CRFs Based on the POS Tag Embedding and the Named Entity Distribution of Syllables (품사 임베딩과 음절 단위 개체명 분포 기반의 Bidirectional LSTM CRFs를 이용한 개체명 인식)

  • Yu, Hongyeon;Ko, Youngjoong
    • 한국어정보학회:학술대회논문집
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    • 2016.10a
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    • pp.105-110
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    • 2016
  • 개체명 인식이란 문서 내에서 인명, 기관명, 지명, 시간, 날짜 등 고유한 의미를 가지는 개체명을 추출하여 그 종류를 결정하는 것을 말한다. 최근 개체명 인식 연구에서는 bidirectional LSTM CRFs가 가장 우수한 성능을 보여주고 있다. 하지만 LSTM 기반의 딥 러닝 모델은 입력이 되는 단어 표상에 의존적이기 때문에 입력이 되는 단어 표상을 확장하는 방법에 대한 연구가 많이 진행되어지고 있다. 본 논문에서는 한국어 개체명 인식을 위하여 bidirectional LSTM CRFs모델을 사용하고, 그 입력으로 사용되는 단어 표상을 확장하기 위해 사전 학습된 단어 임베딩 벡터, 품사 임베딩 벡터, 그리고 음절 기반에서 확장된 단어 임베딩 벡터를 사용한다. 음절 기반에서 단어 기반 임베딩 벡터로 확장하기 위하여 bidirectional LSTM을 이용하고, 그 입력으로 학습 데이터에서 추출한 개체명 분포를 이용하였다. 그 결과 사전 학습된 단어 임베딩 벡터만 사용한 것보다 4.93%의 성능 향상을 보였다.

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Monostroma alittorale, a marine green algal species newly recorded in Korea

  • An, Jae Woo;Kang, Pil Joon;Nam, Ki Wan
    • Korean Journal of Environmental Biology
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    • v.37 no.3
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    • pp.362-366
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    • 2019
  • A marine green algal species (Chlorophyta) was collected from the eastern coast of Korea. It is morphologically characterized by monostromatic thallus, usually undulate and entire margins, cap-like chloroplast and several pyrenoids per cell. In a phylogenetic tree based on molecular data, the Korean alga nests in the same clade as Monostroma alittorale originally described from Japan, as a sister clade of M. grevillei from France. The genetic distance for ITS(Internal Transcribed Spacer) sequences among Monostroma species ranges from 2.3% to 38.2%. The value between the Korean entity and M. alittorale was calculated as 0.01%, considered to be intraspecific divergence. This Korean entity is identified as Monostroma alittorale based on morphological and molecular analyses. This is the first record of M. alittorale in Korea.

Korean Entity Recognition System using Bi-directional LSTM-CNN-CRF (Bi-directional LSTM-CNN-CRF를 이용한 한국어 개체명 인식 시스템)

  • Lee, Dong-Yub;Lim, Heui-Seok
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.327-329
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    • 2017
  • 개체명 인식(Named Entity Recognition) 시스템은 문서에서 인명(PS), 지명(LC), 단체명(OG)과 같은 개체명을 가지는 단어나 어구를 해당 개체명으로 인식하는 시스템이다. 개체명 인식 시스템을 개발하기 위해 딥러닝 기반의 워드 임베딩(word embedding) 자질과 문장의 형태적 특징 및 기구축 사전(lexicon) 기반의 자질 구성 방법을 제안하고, bi-directional LSTM, CNN, CRF과 같은 모델을 이용하여 구성된 자질을 학습하는 방법을 제안한다. 실험 데이터는 2017 국어 정보시스템 경진대회에서 제공한 2016klpNER 데이터를 이용하였다. 실험은 전체 4258 문장 중 학습 데이터 3406 문장, 검증 데이터 426 문장, 테스트 데이터 426 문장으로 데이터를 나누어 실험을 진행하였다. 실험 결과 본 연구에서 제안하는 모델은 BIO 태깅 방식의 개체 청크 단위 성능 평가 결과 98.9%의 테스트 정확도(test accuracy)와 89.4%의 f1-score를 나타냈다.

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A development methodology for heterarchical control of flexible manufacturing systems

  • 한영근
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.776-782
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    • 1995
  • This paper presents a methodology for development of a heterarchical control system in Flexible Manufacturing Systems (FMS) environment. A Petri net based model is applied for development of control software. A real-time scheduling methodology for the heterarchical system is also developed and it is used as a software entity in the overall architecture. The partition of generic and specific modules in control software development is emphasized. The control system performs its control tasks in two stages: (1) generation of generic control code and distribution of them to each controller entity prior to system execution; (2) generation of specific control code according to job arrival and its process plan. The control software and the scheduling algorithm are evaluated by a simulation program.

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Proposal for Management of Small Reservoirs (기술사 마당 - 소규모 저수지 관리를 위한 제언)

  • Koo, Bon-Chung
    • Journal of the Korean Professional Engineers Association
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    • v.45 no.4
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    • pp.62-66
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    • 2012
  • An effective management of reservoir, an agricultural infrastructure, requires an establishment of a good management system by means of unification of managing entity; training of manpower and their deployment for scientific management by expert group; carrying out repair / strengthening works based on periodic in-depth inspection results. In particular, continuous budget allocation as well as cultivating good management mind of managing entity are essential for undertaking periodic precise and / or in-depth inspections for assessing the functionality / safety of facilities and proper repair / strengthening works for satisfying the up-to-date facilty standarda and changing environmental conditions.

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Neural Network Model for Named Entitiy Linking using Wikipedia Link Data (위키피디아 링크 데이터를 이용한 Neural Network Model 기반 한국어 개체명 연결)

  • Lee, Young-Hoon;Na, Seung-Hoon
    • Annual Conference on Human and Language Technology
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    • 2018.10a
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    • pp.163-166
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    • 2018
  • 개체명 연결이란 주어진 문장에 출현한 단어를 위키피디아와 같은 지식 기반 상의 하나의 개체와 연결하여 특정 개체가 무엇인지 식별하여 모호성을 해결하는 작업이다. 본 연구에서는 위키피디아의 링크를 이용하여 개체 표현(Entity mention)과 학습 데이터, 지식 기반을 구축한다. 또한, Mention/Context 쌍의 표현과 Entity 표현의 코사인 유사도를 이용하여 Score를 구하고, 이를 통해 개체명 연결 문제를 랭킹 문제로 변환한다. 개체의 이름과 분류뿐만 아니라 개체의 설명, 개체 임베딩 등의 자질을 이용하여 모델을 확장하고 결과를 비교한다. 확장된 모델의 개체 링킹 성능은 89.63%의 정확도를 보였다.

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