• 제목/요약/키워드: Entities

검색결과 1,459건 처리시간 0.034초

Minimally Supervised Relation Identification from Wikipedia Articles

  • Oh, Heung-Seon;Jung, Yuchul
    • Journal of Information Science Theory and Practice
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    • 제6권4호
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    • pp.28-38
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    • 2018
  • Wikipedia is composed of millions of articles, each of which explains a particular entity with various languages in the real world. Since the articles are contributed and edited by a large population of diverse experts with no specific authority, Wikipedia can be seen as a naturally occurring body of human knowledge. In this paper, we propose a method to automatically identify key entities and relations in Wikipedia articles, which can be used for automatic ontology construction. Compared to previous approaches to entity and relation extraction and/or identification from text, our goal is to capture naturally occurring entities and relations from Wikipedia while minimizing artificiality often introduced at the stages of constructing training and testing data. The titles of the articles and anchored phrases in their text are regarded as entities, and their types are automatically classified with minimal training. We attempt to automatically detect and identify possible relations among the entities based on clustering without training data, as opposed to the relation extraction approach that focuses on improvement of accuracy in selecting one of the several target relations for a given pair of entities. While the relation extraction approach with supervised learning requires a significant amount of annotation efforts for a predefined set of relations, our approach attempts to discover relations as they occur naturally. Unlike other unsupervised relation identification work where evaluation of automatically identified relations is done with the correct relations determined a priori by human judges, we attempted to evaluate appropriateness of the naturally occurring clusters of relations involving person-artifact and person-organization entities and their relation names.

신 스플라인보간법의 퍼포먼스 가설점정 (Hypothesis Tests For Performances of a New Spline Interpolation Technique)

  • 유기윤
    • 대한공간정보학회지
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    • 제7권1호
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    • pp.29-40
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    • 1999
  • 벡터 GIS에서 자연선형체는 통상 일련의 직선분(line segments)에 의해 표시되나 그 대안으로 곡선분(curve segments) 역시 사용될 수 있다. 곡선분은 스플라인보간법에 의해 생성가능하며 이를 위해 Bezier방법과 신보간법(유기윤, 1998)이 사용될 수 있는데 본 연구에서는 신보간법의 퍼포먼스를 테스트해 보았다. 테스트는 두 가지에 촛점을 두었는데 (1) 새보간법에 의해 생성된 선형분이 직선분 보다 정확하게 자연선형체를 표현할 수 있는지 여부와 (2) 새보간법에 의해 생성된 선형분이 Bezier방법에 의해 생성된 선형분 보다 자연선형체를 정확하게 표현할 수 있는지 여부에 대한 검정이다. 이를 위해 t-테스트에 의한 가설검정법이 이용되었으며 자료로는 미 지질조사국의 7.5분 지형도가 이용되었다. 테스트결과 새보간법과 Bezier방법에 의해 생성된 선형분이 직선분 보다 자연선 형체를 정확하게 표현하였으며 새보간법에 의해 생성된 선형분이 Bezier방법에 의해 생성된 선형분보다 정확하게 표현하였다.

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Implementation of persistent identification of topological entities based on macro-parametrics approach

  • Farjana, Shahjadi Hisan;Han, Soonhung;Mun, Duhwan
    • Journal of Computational Design and Engineering
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    • 제3권2호
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    • pp.161-177
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    • 2016
  • In history based parametric CAD modeling systems, persistent identification of the topological entities after design modification is mandatory to keep the design intent by recording model creation history and modification history. Persistent identification of geometric and topological entities is necessary in the product design phase as well as in the re-evaluation stage. For the identification, entities should be named first according to the methodology which will be applicable for all the entities unconditionally. After successive feature operations on a part body, topology based persistent identification mechanism generates ambiguity problem that usually stems from topology splitting and topology merging. Solving the ambiguity problem needs a complex method which is a combination of topology and geometry. Topology is used to assign the basic name to the entities. And geometry is used for the ambiguity solving between the entities. In the macro parametrics approach of iCAD lab of KAIST a topology based persistent identification mechanism is applied which will solve the ambiguity problem arising from topology splitting and also in case of topology merging. Here, a method is proposed where no geometry comparison is necessary for topology merging. The present research is focused on the enhancement of the persistent identification schema for the support of ambiguity problem especially of topology splitting problem and topology merging problem. It also focused on basic naming of pattern features.

다수의 건설인력 위치 추적을 위한 스테레오 비전의 활용 (Simultaneous Tracking of Multiple Construction Workers Using Stereo-Vision)

  • 이용주;박만우
    • 한국BIM학회 논문집
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    • 제7권1호
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    • pp.45-53
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    • 2017
  • Continuous research efforts have been made on acquiring location data on construction sites. As a result, GPS and RFID are increasingly employed on the site to track the location of equipment and materials. However, these systems are based on radio frequency technologies which require attaching tags on every target entity. Implementing the systems incurs time and costs for attaching/detaching/managing the tags or sensors. For this reason, efforts are currently being made to track construction entities using only cameras. Vision-based 3D tracking has been presented in a previous research work in which the location of construction manpower, vehicle, and materials were successfully tracked. However, the proposed system is still in its infancy and yet to be implemented on practical applications for two reasons. First, it does not involve entity matching across two views, and thus cannot be used for tracking multiple entities, simultaneously. Second, the use of a checker board in the camera calibration process entails a focus-related problem when the baseline is long and the target entities are located far from the cameras. This paper proposes a vision-based method to track multiple workers simultaneously. An entity matching procedure is added to acquire the matching pairs of the same entities across two views which is necessary for tracking multiple entities. Also, the proposed method simplified the calibration process by avoiding the use of a checkerboard, making it more adequate to the realistic deployment on construction sites.

IN 서비스를 제공하기 위한 SCP와 HLR 통합 구조의 성능 평가에 대한 연구 (A Study on Performance Evaluation of SCP and HLR Integration supporting IN Services)

  • 이용;김현숙;송주석
    • 한국통신학회논문지
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    • 제24권7A호
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    • pp.1064-1073
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    • 1999
  • 유무선 통신 시스템의 구축에서 셀룰러 네트워크와 지능망을 분리시키는 것은 일반적으로 이동 통신 관련 서비스를 제공하는데 적합하지 않으므로 IMT-2000은 기본적으로 지능망을 통하여 구현된다. 그러나 아직까지 IMT-2000의 기능 구현에 필요한 각 기능 실체들이 실제로 물리실체에 어떻게 대응이 이루어져야 하는지는 결정되지 않고 있다. 따라서 이 논문은 IMT-200에 필요한 각 기능 실체들을 물리 실체에 대응하는 방안과 이러한 대응에 따른 통합 모델을 제시하고 이 모델에서 일반 이동망호와 지능망 서비스호에 대한 호 처리 시나리오를 제시하고자 한다. 또한 이러한 호 처리 시나리오에 의하여 제공되는 이동망 호와 지능망 서비스 호에 대한 평균 서비스 지연 시간과 각 노드별 지연 시간을 측정하여, 기존의 IMT-2000 모델과 성능을 비교하도록 한다.

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다중 개체 모형을 적용한 기록관리 메타데이터 표준 사례분석 (A Case Study on Recordkeeping Metadata Standard Applying Multiple Entities)

  • 이주연
    • 한국기록관리학회지
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    • 제10권2호
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    • pp.193-214
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    • 2010
  • 최근 메타데이터 표준의 국제적 흐름은 기록을 둘러싼 다양한 맥락정보를 개체로 설정하고 이들 각 개체 간의 다양한 관계를 보여주는 다중 개체 모형의 적용이다. 이에, 이 논문에서는 다중 개체 모형을 적용한 기록관리 메타데이터의 표준인 ISO 23081-2, 호주, 뉴질랜드, 호주의 뉴사우스웨일즈주, 퀸즈랜드주, 사우스오스트레일리 아주 표준의 특징을 비교 분석하였다. 분석은 1) 적용범위, 2) 개체수, 3) 개체 내 카테고리, 4) 요소 설계 방법을 중심으로 비교하고, 다중 개체에 있어서 가장 핵심인 관계(relationship) 개체가 어떻게 구현될 수 있는지, 실제 사례를 통해 살펴본다. 마지막으로 앞선 분석을 통해 다중 개체 모형을 적용하여 표준을 제정 할 때 고려해야 할 몇 가지 사항들을 정리해 본다.

사물인터넷 엔터티를 위한 역할기반 접근제어에 관한 연구 (Research for RBAC of IoT Entities)

  • 이용주;우성희
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.564-565
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    • 2019
  • 사물인터넷 기술은 4차 산업 혁명의 원동력이 될 차세대 주축기술로 평가되고 있다. 사물인터넷 응용을 위한 엔터티 들의 특징은 기존 보다 활동적이고 능동적으로 변해가고 있어서, 보다 세분화된 접근제어가 필요하지만 기존의 접근제어 기술은 사용자를 중심으로 설계되어 절차가 복잡하고 가변적인 내용을 적용하기에 시스템 부하가 심해, 시스템의 부하가 적으면서 효율성과 보안성을 유지할 수 있는 접근제어 기법이 필요하다. 따라서 사물인터넷 엔터티에 적합한 역할기반 접근제어에 대한 연구가 반드시 필요하다. 본 연구에서는 사물인터넷 엔터티 들의 접근제어 연구를 위한 관련 연구와 사물인터넷 내의 다양한 엔터티들의 속성을 정의할 수 있는 RBAC와 AC 방식에 대하여 분석하였다.

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Deep Lexical Semantics: The Ontological Ascent

  • Hobbs, Jerry R.
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2007년도 정기학술대회
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    • pp.29-41
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    • 2007
  • Concepts of greater and greater complexity can be constructed by building systems of entities, by relating other entities to that system with a figure-ground relation, by embedding concepts of figure-ground in the concept of change, by embedding that in causality, and by coarsening the granularity and beginning the process over again. This process can be called the Ontological Ascent. It pervades natural language discourse, and suggests that to do lexical semantics properly, we must carefully axiomatize abstract theories of systems of entities, the figure-ground relation, change, causality, and granularity. In this paper, I outline what these theories should look like.

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총칭문과 복수성 (Plurality in Generic Sentences)

  • 조영순
    • 한국언어정보학회지:언어와정보
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    • 제5권2호
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    • pp.75-86
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    • 2001
  • Generic sentences assert generic properties of single individuals or those of plural individuals. It means the generic quantifier Gen can quantify over single and plural entities. Among the generic meaning information represented in terms of the tripartite structure, the information not in the nuclear scope part, but rather in the restrictor part is related to which individuals generic sentences assert of. The plurality in the nuclear scope part cannot be described by making the generic operator Gen quantify over plural entities: Generic sentences with collective predicates like gather, and those with dependent plurals predicate of generic properties of single individuals. On the contrary, the plural information in restrictor part leads Gen to quantify eve. plural entities.

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영상매칭을 위한 특성정보 추출 (Extraction of Characteristic Information for Image Matching)

  • 이동천;염재홍;김정우;이용욱
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 춘계학술발표회논문집
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    • pp.171-176
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    • 2004
  • Image matching is fundamental process in photogrammetry and computer vision to identify and to measure corresponding features on the multiple images. Uniqueness of the matching entities and robustness of the algorithm are the key issues that have influence on quality of the matching result. The optimal solution could be obtained by utilizing appropriate matching entities in the first place. In this study, candidate matching points were extracted by interest operator, and an area-based matching method was applied with characteristics of the gray value distribution as the matching entities. The characteristic information is based on the concept of "intrinsic image" (or parameter image). The information was utilized as additional and/or complementary matching entities. Matching on interest points with the characteristic information resulted in high quality of matching because matching windows were created with surrounding pixels of the interest points that contain distinct and unique features. The experiment shows that matching quality and reliability increase by exploiting interest operator, and the characteristic information has potential to be matching entity.

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