• Title/Summary/Keyword: Entities

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Phenomenological References : Arguments for Mentalistic Natural Language Semantics

  • Jun, Jong-Sup
    • 한국언어정보학회지:언어와정보
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    • 제8권2호
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    • pp.113-130
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    • 2004
  • In a prevailing view of meaning and reference (cf. Frege 1892), words pick out entities in the physical world by virtue of meaning. Linguists and philosophers have argued whether the meaning of a word is inside or out-side language users' mind; but, in general, they have taken it for granted that words refer to entities in the physical world. Hilary Putnam (1975), based on his famous twin-earth thought experiment, argued that the meaning of a word could not be inside language users' head. In this paper, I point out that Putnam's argument makes sense only if words refer to entities in the physical world. That is, Putnam did not provide any argument against mentalistic semantics, since he erroneously assumed that meaning, but not reference, was inside our mind in mentalistic semantics. Mentalistic semanticist, however, assume that words pick out their references inside our head (instead of a possible outside world). A number of arguments for the mentalistic position come from psychology: studies on emotion and visual perception provide numerous cases where words cannot pick out entities from the physical world, but inside our head. The mentalistic theory has desirable consequences for the philosophy of language in that some classical puzzles of language (e.g. Russell's (1919) well-known puzzle of excluded middle) are explained well in the proposed theory.

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CBAbench: An AutoCAD-based Dynamic Geometric Constraint System

  • Gong, Xiong;Wang, Bo-Xing;Chen, Li-Ping
    • International Journal of CAD/CAM
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    • 제6권1호
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    • pp.173-181
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    • 2006
  • In this paper, an integration framework of Geometric Constraint Solving Engine and AutoCAD is presented, and a dynamic geometric constraint system is introduced. According to inherent orientation features of geometric entities and various Object Snap results of AutoCAD, the' proposed system can automatically construct an under-constrained geometric constraint model during interactive drawing. And then the directed constraint graph in a geometric constraint model is realtime modified in order to produce an optimal constraint solving sequence. Due to the open object-oriented characteristics of AutoCAD, a set of user-defined entities including basic geometric elements and graphics constraint relations are defined through derivation. And the custom-made Object Reactor and Command Reactor are also constructed. Several powerful characteristics are achieved based on these user-defined entities and reactors, including synchronously processing geometric constraint information while saving and opening DWG files, visual constraint relations, and full adaptability to Undo/Redo operations. These characteristics of the proposed system can help the designers more easily manage geometric entities and constraint relations between them.

기하정보 기반 이상탐지분석을 이용한 BIM 개별 부재 IFC 분류 무결성 검토에 관한 연구 (Using Geometry based Anomaly Detection to check the Integrity of IFC classifications in BIM Models)

  • 구본상;신병진
    • 한국BIM학회 논문집
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    • 제7권1호
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    • pp.18-27
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    • 2017
  • Although Industry Foundation Classes (IFC) provide standards for exchanging Building Information Modeling (BIM) data, authoring tools still require manual mapping between BIM entities and IFC classes. This leads to errors and omissions, which results in corrupted data exchanges that are unreliable and thus compromise the validity of IFC. This research explored precedent work by Krijnen and Tamke, who suggested ways to automate the mapping of IFC classes using a machine learning technique, namely anomaly detection. The technique incorporates geometric features of individual components to find outliers among entities in identical IFC classes. This research primarily focused on applying this approach on two architectural BIM models and determining its feasibility as well as limitations. Results indicated that the approach, while effective, misclassified outliers when an IFC class had several dissimilar entities. Another issue was the lack of entities for some specific IFC classes that prohibited the anomaly detection from comparing differences. Future research to improve these issues include the addition of geometric features, using novelty detection and the inclusion of a probabilistic graph model, to improve classification accuracy.

A Data Design for Increasing the Usability of Subway Public Data

  • Min, Meekyung
    • International Journal of Internet, Broadcasting and Communication
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    • 제11권4호
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    • pp.18-25
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    • 2019
  • The public data portal provides various public data created by the government in the form of files and open APIs. In order to increase the usability of public open data, a variety of information should be provided to users and should be convenient to use for users. This requires the structured data design plan of the public data. In this paper, we propose a data design method to improve the usability of the Seoul subway public data. For the study, we first identify some properties of the current subway public data and then classify the data based on these properties. The properties used as classification criteria are stored properties, derived properties, static properties, and dynamic properties. We also analyze the limitations of current data for each property. Based on this analysis, we classify currently used subway public data into code entities, base entities, and history entities and present the improved design of entities according to this classification. In addition, we propose data retrieval functions to increase the utilization of the data. If the data is designed according to the proposed design of this paper, it will be possible to solve the problem of duplication and inconsistency of the data currently used and to implement more structural data. As a result, it can provide more functions for users, which is the basis for increasing usability of subway public data.

Genetic Distances for Intra- and Between-Group of Scapharca subcrenata from Yeosu of the Korea

  • Yoon, Jong-Man
    • 한국발생생물학회지:발생과생식
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    • 제25권4호
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    • pp.305-311
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    • 2021
  • The oligonucleotides polymers (ON-polymers) were used producing a total of 110 loci unique to each clam population (LUECP) in group one and 132 in group two, respectively, varying in amount of DNA fragments (FRs) from greater than near 50 to a smaller quantity than 1,050 bp. The larger FR amounts (>1,050 bp) are not noticed in the two Scapharca subcrenata groups. The ON-polymer OPD-01 produced 33 LUECP, which were defining each group, almost 300 bp, 450 bp, and 500 bp, in the group one. The OPD-15 recognized 22 loci shared by the two clam populations (Loci shared by the two clam populations, LSTCP), a variety of FRs of sizes 300 bp that were equivalent in all specimens. The mean number of LUECP was varied and 1.2-fold greater in the shellfish group two than in the group one. Respecting mean bandsharing (BS) grade outcomes, entities in the shellfish group one (0.779±0.011) had a little higher BS grades than did entities from the group two (0.756±0.009) (p<0.05). The entities of the shellfish group one are not tightly gathered with other entities of the group two. The genetic distance (GD) (0.422) of this invertebrate (SUBCRENATA 02 and 01) is 7.41-fold hereditarily distinct to the GD (0.057) of the other invertebrate (SUBCRENATA 22 and 19). The polar dendrogram (PDG) procured by the five ON-polymers underlines two characteristic groups.

기계학습 기반 개체명 인식을 위한 사전 자질 생성 (Feature Generation of Dictionary for Named-Entity Recognition based on Machine Learning)

  • 김재훈;김형철;최윤수
    • 정보관리연구
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    • 제41권2호
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    • pp.31-46
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    • 2010
  • 오늘날 정보 추출의 한 단계로서 개체명 인식은 정보검색 분야 뿐 아니라 질의응답과 요약 분야에서 매우 유용하게 사용되고 있다. 개체명은 일반 단어와 달리 다양한 문서에서 꾸준히 생성되고 변화되고 있다. 이와 같은 개체명의 특성 때문에 여러 응용 시스템에서 미등록어 문제가 야기된다. 본 논문에서는 이런 미등록어 문제를 해결하기 위해 기계학습 기반 개체명 인식 시스템을 위한 새로운 자질 생성 방법을 제안한다. 일반적으로 기계학습 기반 개체명 인식 시스템은 단어 단위의 자질을 사용하므로 구절 단위의 개체명을 그대로 자질로 사용할 수 없다. 이 문제를 해결하기 위해 본 논문에서는 새로운 구절 단위의 정보를 단어 단위의 자질로 변환하는 자질 생성 방법을 제안하였다. 이 방법으로 개체명 사전과 WordNet을 개체명 인식의 자질로 사용할 수 있었다. 그 결과 영어 개체명 시스템은 F1 점수의 약 6%가 향상되었고 오류의 약 38%가 줄어들었다.

Investigating the Combination of Bag of Words and Named Entities Approach in Tracking and Detection Tasks among Journalists

  • Mohd, Masnizah;Bashaddadh, Omar Mabrook A.
    • Journal of Information Science Theory and Practice
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    • 제2권4호
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    • pp.31-48
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    • 2014
  • The proliferation of many interactive Topic Detection and Tracking (iTDT) systems has motivated researchers to design systems that can track and detect news better. iTDT focuses on user interaction, user evaluation, and user interfaces. Recently, increasing effort has been devoted to user interfaces to improve TDT systems by investigating not just the user interaction aspect but also user and task oriented evaluation. This study investigates the combination of the bag of words and named entities approaches implemented in the iTDT interface, called Interactive Event Tracking (iEvent), including what TDT tasks these approaches facilitate. iEvent is composed of three components, which are Cluster View (CV), Document View (DV), and Term View (TV). User experiments have been carried out amongst journalists to compare three settings of iEvent: Setup 1 and Setup 2 (baseline setups), and Setup 3 (experimental setup). Setup 1 used bag of words and Setup 2 used named entities, while Setup 3 used a combination of bag of words and named entities. Journalists were asked to perform TDT tasks: Tracking and Detection. Findings revealed that the combination of bag of words and named entities approaches generally facilitated the journalists to perform well in the TDT tasks. This study has confirmed that the combination approach in iTDT is useful and enhanced the effectiveness of users' performance in performing the TDT tasks. It gives suggestions on the features with their approaches which facilitated the journalists in performing the TDT tasks.

1997 외환위기 지식그래프: 디지털 아카이브의 관계 중심적 접근 (A Knowledge Graph of the Korean Financial Crisis of 1997: A Relationship-Oriented Approach to Digital Archives)

  • 이유경;김학래
    • 한국기록관리학회지
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    • 제20권4호
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    • pp.1-17
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    • 2020
  • 정보기술의 발전에 따라 아카이브의 디지털화가 가속화되고 있다. 그런데 전통적인 방식의 디지털 아카이브는 기록을 효과적으로 검색하고 연계하고 이해하는 데 한계가 있다. 본 논문은 디지털 아카이브의 활용성을 극대화하기 위한 방안으로 관계 중심의 지식그래프 방식을 제안한다. 디지털 아카이브의 사례인 '1997 외환위기 아카이브'의 특징을 검토하고, 아카이브에 포함된 모든 개체와 개체 사이의 관계는 RiC-O(Records in Contexts-Ontology) 기반의 지식그래프로 구축한다. 본 연구의 결과인 외환위기 지식그래프는 1997 외환위기 아카이브의 모든 개체를 기계가 처리할 수 있는 형식으로 구축한다. 디지털 아카이브와 비교해 지식그래프 접근은 개체의 정보, 개체 사이의 관계를 정확히 탐색할 수 있고, 이를 통해 의미검색, 지능형 서비스에 활용될 수 있다.

온실가스·에너지 목표관리제 및 배출권거래제 대상 기업의 명세서를 이용한 온실가스 감축 실적 분석 (Analysis of CO2 Reduction effected by GHG·Energy Target Management System (TMS) and Korea Emissions Trading Scheme (ETS))

  • 이세림;조용성;이수경
    • 한국기후변화학회지
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    • 제8권3호
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    • pp.221-230
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    • 2017
  • There are two main policies to meet the national goal of reducing Greenhouse Gases (GHGs) emissions in Korea towards Paris Agreement. From 2012 to 2014, Target Management System (TMS) was operated and the Emissions Trading Scheme (ETS) has been established since 2015. To compare the impact of TMS and ETS on reducing GHGs, we collected annual GHGs emission reports submitted by individual business entities, and normalized them using a z-variant normalized function. In order to evaluate the impact of those policies, we calculated the amount of GHGs emissions of 73 business entities from 15 business sectors. Those entities emitted $508million\;CO_2eq$, which is 74% of total national GHGs emissions in 2014. The main results of analysis indicate that accumulated GHGs emissions during the period 2012 to 2014 affected by TMS was higher than the national goal of GHGs emission reduction, and only the GHGs emissions in 2014 were in the range of allowed GHGs emissions, set by the Government. In 2015, when ETS initiated, total GHGs emission trading was $4.84million\;tCO_2eq$, which is only 0.9% of total allowance in 2015. However, more than 50% of business entities, who got the allowance of GHGs emission given by the Government, met the goal of GHGs emissions. Particularly, 27 of 73 business entities reduced GHGs more under the ETS rather than the TMS. Even though we analyzed only 4 years' data to demonstrate the impact of TMS and ETS, it is expected to commit the national goal of GHGs reduction target by TMS and ETS.

국가 차원의 PID 기반 연구 개체의 식별 및 활용에 관한 연구 (A Study on Identifying and Utilizing PID-Based Research Entity at a National Level)

  • 김규환
    • 한국도서관정보학회지
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    • 제55권1호
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    • pp.215-237
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    • 2024
  • 본 연구는 영국, 독일, 캐나다, 일본, 중국, 호주 등 주요 국가의 운영 사례 조사를 토대로 연구 개체 및 PID 선정안과 PID 컨소시엄 구축 및 운영 전략을 제안하였다. 연구 개체 및 PID 선정 기준은 '연구생명주기'와 'PID 인프라 성숙도' 2가지를 제시하였다. 2가지 선정 기준에 따른 연구 개체-PID 쌍은 초기 단계에는 '연구자-ORCID', '출판물-DOI', '데이터-DOI', '기관-ROR', '보조금-DOI', '프로젝트-RAiD'를 고려하고 이후 단계에서는 PID 인프라 성숙도가 신흥 단계에 있는 다른 연구 개체와 PID로 확장해 나갈 것을 제안하였다. PID 컨소시엄 구축 및 운영 전략은 다양한 PID 이해관계자의 참여를 독려하고 국내·외 PID 기관과의 협력 네트워크를 구축하고 PID에 대한 인식 제고와 활용율 증대를 위한 교육 및 홍보 활동을 추진하고 정책적 지원과 재정적 안정성을 확보해야 함을 제안하였다. 이를 통해 국내 연구 개체들이 글로벌 차원에서 가시성과 접근성을 확보할 수 있는 기반을 마련할 수 있을 것으로 기대해 본다.