• 제목/요약/키워드: Concept Graph

검색결과 203건 처리시간 0.025초

Efficiency of Graph for the Remodularization of Multi-Level Software Architectures

  • Lala Madiha HAKIK
    • International Journal of Computer Science & Network Security
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    • 제24권5호
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    • pp.33-39
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    • 2024
  • In a previous study we proceeded to the remodularization architecture based on classes and packages using the Formal Concept Analysis (FCA)[13] [14] [30]. we then got two possible remodularized architectures and we explored the issue of redistributing classes of a package to other packages, we used an approach based on Oriented Graph to determine the packages that receive the redistributed classes and we evaluated the quality of a remodularized software architecture by metrics [31] [28] [29]. In this paper, we will address the issue of the efficiency of the Oriented Graph in the remodularization of software architectures compared to the Formal Concept Analysis FCA method. The formal method of FCA concept is not popularized among scientists as opposed to the use of the labeled directed graph. It is for this reason that our directed graph approach is more effective in its simplicity and popularity.

INFORMATION SEARCH BASED ON CONCEPT GRAPH IN WEB

  • Lee, Mal-Rey;Kim, Sang-Geun
    • Journal of applied mathematics & informatics
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    • 제10권1_2호
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    • pp.333-351
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    • 2002
  • This paper introduces a search method based on conceptual graph. A hyperlink information is essential to construct conceptual graph in web. The information is very useful as it provides summary and further linkage to construct conceptual graph that has been provided by human. It also has a property which shows review, relation, hierarchy, generality, and visibility. Using this property, we extracted the keywords of web documents and made up of the conceptual graph among the keywords sampled from web pages. This paper extracts the keywords of web pages using anchor text one out of hyperlink information and makes hyperlink of web pages abstract as the link relation between keywords of each web page. 1 suggest this useful search method providing querying word extension or domain knowledge by conceptual graph of keywords. Domain knowledge was conceptualized knowledged as the conceptual graph. Then it is not listing web documents which is the defect of previous search system. And it gives the index of concept associating with querying word.

구조적 모델링을 위한 객체지향적 모델베이스 조직화 (On the Organization of Object-Oriented Model Bases for Structured Modeling)

  • 정대율
    • 한국정보시스템학회지:정보시스템연구
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    • 제5권
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    • pp.149-173
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    • 1996
  • This paper focus on the development of object-oriented model bases for Structured Modeling. For the model base organization, object modeling techniques and model typing concept which is similar to data typing concept are used. Structured modeling formalizes the notion of a definitional system as a way of dscribing models. From the object-oriented concept, a structured model can be represented as follows. Each group of similar elements(genus) is represented by a composite class. Other type of genera can be represented in a similar manner. This hierarchical class composition gives rise to an acyclic class-composition graph which corresponds with the genus graph of structured model. Nodes in this graph are instantiated to represent the elemental graph for a specific model. Taking this class composition process one step further, we aggregate the classes into higher-level composite classes which would correspond to the structured modeling notion of a module. Finally, the model itself is then represented by a composite class having attributes each of whose domain is a composite class representing one of the modules. The resulting class-composition graph represent the modular tree of the structured.

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Mining Highly Reliable Dense Subgraphs from Uncertain Graphs

  • LU, Yihong;HUANG, Ruizhi;HUANG, Decai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.2986-2999
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    • 2019
  • The uncertainties of the uncertain graph make the traditional definition and algorithms on mining dense graph for certain graph not applicable. The subgraph obtained by maximizing expected density from an uncertain graph always has many low edge-probability data, which makes it low reliable and low expected edge density. Based on the concept of ${\beta}$-subgraph, to overcome the low reliability of the densest subgraph, the concept of optimal ${\beta}$-subgraph is proposed. An efficient greedy algorithm is also developed to find the optimal ${\beta}$-subgraph. Simulation experiments of multiple sets of datasets show that the average edge-possibility of optimal ${\beta}$-subgraph is improved by nearly 40%, and the expected edge density reaches 0.9 on average. The parameter ${\beta}$ is scalable and applicable to multiple scenarios.

개념 검색의 신경회로망 모델에 관한 연구 (A Study Nuenal Model of Concept Retrieval)

  • 고용훈;박상희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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    • pp.450-456
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    • 1990
  • In this paper, production system is implemented with the inferential neural network model using semantic network and directed graph. Production system can be implemented with the transform of knowledge representation in production system into semantic network and of semantic network into directed graph, because directed graphs can be expressed by neural matrices. A concept node should be defined by the state vector to calculated the concepts expressed by matrices. The expressional ability of neunal network depends on how the state vector is defined. In this study, state vector is overlapped and each overlapping part acts as a inheritant of concept.

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CHARACTERIZATION THEOREMS FOR CERTAIN CLASSES OF INFINITE GRAPHS

  • Jung, Hwan-Ok
    • Journal of applied mathematics & informatics
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    • 제30권1_2호
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    • pp.245-252
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    • 2012
  • In this paper we present a necessary and sufficient conditions for an infinite VAP-free plane graph to be a 3LV-graph as well as an LV-graph. We also introduce and investigate the concept of the order and the kernel of an infinite connected graph containing no one-way infinite path.

CENTRAL VERTICES AND ECCENTRIC GRAPHS

  • Kim, Byung-Kee
    • Journal of applied mathematics & informatics
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    • 제25권1_2호
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    • pp.519-524
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    • 2007
  • Facility location problems deal with the concept of centrality and centrality questions are examined using graphs and eccentricity. In this paper, we give interesting properties of a tree in relation with the number of central vertices and peripheral vertices. Also we have some conditions to be an eccentric graph in terms of the girth of a graph.

A Procedure for Determining The Locating Chromatic Number of An Origami Graphs

  • Irawan, Agus;Asmiati, Asmiati;Utami, Bernadhita Herindri Samodra;Nuryaman, Aang;Muludi, Kurnia
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.31-34
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    • 2022
  • The concept of locating chromatic number of graph is a development of the concept of vertex coloring and partition dimension of graph. The locating-chromatic number of G, denoted by χL(G) is the smallest number such that G has a locating k-coloring. In this paper we will discussed about the procedure for determine the locating chromatic number of Origami graph using Python Programming.

로봇의 최단경로탐색을 위한 미로의 순회 및 표현방법 설계 (A Design of Traverse and Representation Method of Maze for Shortest Path Search with Robots)

  • 홍기천
    • 한국정보교육학회:학술대회논문집
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    • 한국정보교육학회 2010년도 하계학술대회
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    • pp.227-233
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    • 2010
  • 그래프는 현재 GIS, 네트워크, 인공지능 등과 같은 다양한 분야에 응용되고 있다. 우리의 일상에서도 여행등과 같은 상황에서 무의식중에 그래프의 개념을 사용하고 있다. 그래서 본 논문에서는 미로내에서 로봇이 서로다른 두 개의 정점간 최단경로를 탐색할 때, 그래프라는 개념이 어떻게 사용되는지에 대해서 알아보고자한다. 우리가 자료구조 과목에서 배웠던 내용처럼 이상적인 상황이 아니고 좀더 현실적인 상황이다. 로봇이 최단경로탐색이라는 미션을 수행하기 위해서는 미로순회, 그래프 생성, 최단경로탐색의 세 단계를 거친다. 미로순회 단계는 로봇이 직접 미로를 탐색해야하는 단계로서 가장 어려움이 많은 단계라고 볼 수 있다. 그래프 생성 단계는 로봇이 미로가 가지는 구조적인 정보를 그래프로 표현하고, 이를 2차원 배열에 저장하는 단계이다. 최단경로탐색단계는 서로 다른 두 개의 정점을 입력하여 로봇이 실제로 이동하도록 하는 단계이다. 아직 구현이 완료된 상황이 아니기 때문에 로봇의 최단경로탐색을 위한 전체 과정의 설계에 대해서만 기술하기로 한다.

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KG_VCR: 지식 그래프를 이용하는 영상 기반 상식 추론 모델 (KG_VCR: A Visual Commonsense Reasoning Model Using Knowledge Graph)

  • 이재윤;김인철
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제9권3호
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    • pp.91-100
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    • 2020
  • 기존의 영상 기반 질문-응답(VQA) 문제들과는 달리, 새로운 영상 기반 상식 추론(VCR) 문제들은 영상에 포함된 사물들 간의 관계 파악과 답변 근거 제시 등과 같이 추가적인 심층 상식 추론을 요구한다. 본 논문에서는 영상 기반 상식 추론 문제들을 위한 새로운 심층 신경망 모델인 KG_VCR을 제안한다. KG_VCR 모델은 입력 데이터(영상, 자연어 질문, 응답 리스트 등)에서 추출하는 사물들 간의 관계와 맥락 정보들을 이용할 뿐만 아니라, 외부 지식 베이스인 ConceptNet으로부터 구해내는 상식 임베딩을 함께 활용한다. 특히 제안 모델은 ConceptNet으로부터 검색해낸 연관 지식 그래프를 효과적으로 임베딩하기 위해 그래프 합성곱 신경망(GCN) 모듈을 채용한다. VCR 벤치마크 데이터 집합을 이용한 다양한 실험들을 통해, 본 논문에서는 제안 모델인 KG_VCR이 기존의 VQA 최고 모델과 R2C VCR 모델보다 더 높은 성능을 보인다는 것을 입증한다.