• 제목/요약/키워드: Knowledge graph

검색결과 219건 처리시간 0.02초

맥락적 어휘 지식 그래프 추출 알고리즘의 설계 (Design of a Contextual Lexical Knowledge Graph Extraction Algorithm)

  • 남상하;최규현;함영균;최기선
    • 한국어정보학회:학술대회논문집
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    • 한국어정보학회 2016년도 제28회 한글및한국어정보처리학술대회
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    • pp.147-151
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    • 2016
  • 본 논문에서는 Reified 트리플 추출을 위한 한국어 개방형 정보추출 방법을 제시한다. 시맨틱웹 분야에서 지식은 흔히 RDF 트리플 형태로 표현되지만, 자연언어문장은 복수개의 서술어와 논항간의 관계로 구성되어 있다. 이러한 이유로, 시맨틱웹의 대표적인 지식표현법인 트리플을 따름과 동시에 문장의 의존구조를 반영하여 복수개의 술어와 논항간의 관계를 지식화하는 새로운 개방형 정보추출 시스템이 필요하다. 본 논문에서는 문장 구조에 대한 일관성있는 변환을 고려한 새로운 개방형 정보추출 방법을 제안하며, 개체중심의 지식과 사건중심의 지식을 함께 표현할 수 있는 Reified 트리플 추출방법을 제안한다. 본 논문에서 제안한 방법의 우수성과 실효성을 입증하기 위해 한국어 위키피디아 알찬글 본문을 대상으로 추출된 지식의 양과 정확도 측정 실험을 수행하였고, 본 논문에서 제안한 방식을 응용한 의사 SPARQL 질의 생성 모듈에 대해 소개한다.

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Applying A Matrix-Based Inference Algorithm to Electronic Commerce

  • Lee, kun-Chang;Cho, Hyung-Rae
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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    • pp.353-359
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    • 1999
  • We present a matrix-based inference alorithm suitable for electronic commerce applications. For this purpose, an Extended AND-OR Graph (EAOG) was developed with the intention that fast inference process is enabled within the electronic commerce situations. The proposed EAOG inference mechanism has the following three characteristics. 1. Real-time inference: The EAOG inference mechanism is suitable for the real-time inference because its computational mechanism is based on matric computation.2. Matrix operation: All the subjective knowledge is delineated in a matrix form, so that inference process can proceed based on the matrix operation which is computationally efficient.3. Bi-directional inference: Traditional inference method of expert systems is based on either forward chaining or backward chaining which is mutually exclusive in terms of logical process and exclusive in terms of logical process and computational efficiency. However, the proposed EAOG inference mechanism is generically bi-directional without loss of both speed and efficiency. We have proved the validity of our approach with several propositions and an illustrative EC example.

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Modeling Dynamic Business Rules using A Dynamic Knowledge Approach

  • Karami, Nasser;Iijima, Junichi
    • Industrial Engineering and Management Systems
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    • 제6권1호
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    • pp.72-82
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    • 2007
  • Business Rules are formal statements about the data and processes of an enterprise. They present projections of the organization's constraints and ways of working on their supporting information systems. Therefore, their collection, structuring and organization should be central activities within information systems. In an enterprise, business rules are used to represent certain aspects of a business domain (static rules) or business policy (dynamic rules). Hence, regarding problem domains in the organization, business rules are classified into two groups: static and dynamic business rules. The paper introduces a new concept of business rules, Extended Dynamic Business Rule (EDBR) which contains the results of the occurrence of business rule's action. The focus of this paper is in the organizing, defining and modeling of such business rules using Mineau's approach. Mineau's approach is an extension of Sowa's Conceptual Graph theory.

FSN 기반의 대어휘 연속음성인식 시스템 개발 (Development of FSN-based Large Vocabulary Continuous Speech Recognition System)

  • 박전규;이윤근
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2007년도 한국음성과학회 공동학술대회 발표논문집
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    • pp.327-329
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    • 2007
  • This paper presents a FSN-based LVCSR system and it's application to the speech TV program guide. Unlike the most popular statistical language model-based system, we used FSN grammar based on the graph theory-based FSN optimization algorithm and knowledge-based advanced word boundary modeling. For the memory and latency efficiency, we implemented the dynamic pruning scheduling based on the histogram of active words and their likelihood distribution. We achieved a 10.7% word accuracy improvement with 57.3% speedup.

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AI기법을 이용한 멀티채널 심전도신호의 패턴인식 알고리즘 (An algorithm for pattern recognition of multichannel ECG signals using AI)

  • 신건수;이병채;황선철;이명호
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.575-579
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    • 1990
  • This paper describes an algorithm that can efficiently analyze the multichannel ECG signal using the frame. The input is a set of significant features (points) which have been extracted from an original sampled signal by using the split-and-merge algorithm. A signal from each channel can be hierarchical ADN/OR graph on the basis of the priori knowledge for ECG signal. The search mechanisms with some heuristics and the mixed paradigms of data-driven hypothesis formation are used as the major control mechanisms. The mutual relations among features are also considered by evaluating a score based on the relational spectrum. For recognition of morphologies corresponding to OR nodes, an hypothesis modification strategy is used. Other techniques such as instance, priority update of prototypes, and template matching facility are also used. This algorithm exactly recognized the primary points and supporting points from the multichannel ECG signals.

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실시간 다중고장진단 제어기법에 관한 연구 (A Study on Real time Multiple Fault Diagnosis Control Methods)

  • 배용환;배태용;이석희
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.457-462
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    • 1995
  • This paper describes diagnosis strategy of the Flexible Multiple Fault Diagnosis Module for forecasting faults in system and deciding current machine state form sensor information. Most studydeal with diagnosis control stategy about single fault in a system, this studies deal with multiple fault diagnosis. This strategy is consist of diagnosis control module such as backward tracking expert system shell, various neural network, numerical model to predict machine state and communication module for information exchange and cooperate between each model. This models are used to describe structure, function and behavior of subsystem, complex component and total system. Hierarchical structure is very efficient to represent structural, functional and behavioral knowledge. FT(Fault Tree). ST(Symptom Tree), FCD(Fault Consequence Diagrapy), SGM(State Graph Model) and FFM(Functional Flow Model) are used to represent hierachical structure. In this study, IA(Intelligent Agent) concept is introduced to match FT component and event symbol in diagnosed system and to transfer message between each event process. Proposed diagnosis control module is made of IPC(Inter Process Communication) method under UNIX operating system.

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분할법을 이용한 가중납기지연 최소화 문제 (Minimizing Weighted Tardiness using Decomposition Method)

  • 변의석;홍성욱
    • 산업경영시스템학회지
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    • 제29권1호
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    • pp.109-115
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    • 2006
  • Exact solutions for practical-size problems in job shop will be highly inefficient. Scheduling heuristics, therefore, are typically found in the literature. If we consider real-life situations such as machine breakdowns, the existing scheduling methods will be even more limited. Scheduling against due-dates addresses one of the most critical issues in modern manufacturing systems. In this paper, the method for weighted tardiness schedule using a graph theoretic decomposition heuristic is presented. It outstands the efficiency of computation as well as the robustness of the schedule.

PHDCM : 병렬 컴퓨터에서 한글 텍스트의 효율적인 축약 (PHDCM : Efficient Compression of Hangul Text in Parallel)

  • 민용식
    • The Journal of the Acoustical Society of Korea
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    • 제14권2E호
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    • pp.50-56
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    • 1995
  • 본 논문은 3가지 상태의 전이 그래프를 이용해서, 병렬 컴퓨터인 MasPar에 적합한 한글에 대한 효율적인 부호화를 제시하고자 한다. 본 논문에서 제시한 PHDCM(Parallel Hangul Dynamic Coding Method)의 방법을 이용한 경우에 한글 한음절당 약 3.5비트이상의 축약이 가능함을 보였다. 그리고 기존의 방법과 비교해 볼때 1비트이상의 축약이 가능함도 보였다. 또한 약 천만자의 한글을 이용해서, 병렬 컴퓨터인 MasPar에 프로세서 64개를 이용하여 실제 실행을시켰을때의 가속도 (Speedup)은 49.314임을 보였다.

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맥락적 어휘 지식 그래프 추출 알고리즘의 설계 (Design of a Contextual Lexical Knowledge Graph Extraction Algorithm)

  • 남상하;최규현;함영균;최기선
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2016년도 제28회 한글 및 한국어 정보처리 학술대회
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    • pp.147-151
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    • 2016
  • 본 논문에서는 Reified 트리플 추출을 위한 한국어 개방형 정보추출 방법을 제시한다. 시맨틱웹 분야에서 지식은 흔히 RDF 트리플 형태로 표현되지만, 자연언어문장은 복수개의 서술어와 논항간의 관계로 구성되어 있다. 이러한 이유로, 시맨틱웹의 대표적인 지식표현법인 트리플을 따름과 동시에 문장의 의존구조를 반영하여 복수개의 술어와 논항간의 관계를 지식화하는 새로운 개방형 정보추출 시스템이 필요하다. 본 논문에서는 문장 구조에 대한 일관성있는 변환을 고려한 새로운 개방형 정보추출 방법을 제안하며, 개체 중심의 지식과 사건중심의 지식을 함께 표현할 수 있는 Reified 트리플 추출방법을 제안한다. 본 논문에서 제안한 방법의 우수성과 실효성을 입증하기 위해 한국어 위키피디아 알찬글 본문을 대상으로 추출된 지식의 양과 정확도 측정 실험을 수행하였고, 본 논문에서 제안한 방식을 응용한 의사 SPARQL 질의 생성 모듈에 대해 소개한다.

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삭제나무를 이용한 새로운 순서화 방법 (A New Ordering Method Using Elimination Trees)

  • 박찬규;도승용;박순달
    • 대한산업공학회지
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    • 제29권1호
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    • pp.78-89
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    • 2003
  • Ordering is performed to reduce the amount of fill-ins of the Cholesky factor of a symmetric positive definite matrix. This paper proposes a new ordering algorithm that reduces the fill-ins of the Cholesky factor iteratively by elimination tree rotations and clique separators. Elimination tree rotations have been used mainly to reorder the rows of the permuted matrix for the efficiency of storage space management or parallel processing, etc. In the proposed algorithm, however, they are repeatedly performed to reduce the fill-ins of the Cholesky factor. In addition, we presents a simple method for finding a minimal node separator between arbitrary two nodes of a chordal graph. The proposed reordering procedure using clique separators enables us to obtain another order of rows of which the number of till-ins decreases strictly.