• Title, Summary, Keyword: 정보에이전트 질의에이전트

Search Result 109, Processing Time 0.031 seconds

Matching Agent using Automatic Weight-Control (가중치 자동 조절을 이용한 매칭 에이전트)

  • 김동조;박영택
    • Proceedings of the Korea Inteligent Information System Society Conference
    • /
    • /
    • pp.439-445
    • /
    • 2000
  • 다차원의 속성들을 포함한 대용량의 데이터베이스 또는 점보 저장소의 데이터로부터 지식을 추출하고 이를 활용하기 위해서는 데이터 마이닝의 인공지능 기법 중 기계학습을 활용할 수 있다. 본 논문은 질의어를 바탕으로 각 작성들에 가중치를 적용하여 사용자가 원하는 데이터 집합을 분류하고, 사용자 피드백을 통하여 속성 가중치를 동적으로 변화시킴으로써 검색결과를 향상시키는 방법을 제안한다. 본 논문에서는 데이터 집합을 분류해내기 위해서 각 속성간의 거리에 가중치를 적용하는 k-nearest neighbor 분류법을 사용하였고, 속성 가중치를 동적으로 변화시키는 규칙을 추출하기 위한 방법으로는 결정 트리 생성에 의한 규칙(decision rule) 생성 방법을 적용하였다. 검색결과 향상을 \ulcorner이기 위한 실험으로써 온라인 커플매칭(online couple-matching) 시스템의 핵심부문을 구현하고 이를 적용하였다.

  • PDF

User Query Processing Model in the Item Recommendation Agent for E-commerce (전자상거래를 위한 상품 추천 에이전트에서의 사용자 질의 처리 모델)

  • 이승수;이광형
    • Proceedings of the Korean Information Science Society Conference
    • /
    • /
    • pp.244-246
    • /
    • 2002
  • The rapid increase of E-commerce market requires a solution to assist the buyer to find his or her interested items. The intelligent agent model is one of the approaches to help the buyers in purchasing items in outline market. In this paper, the user query processing model in the item recommendation agent is proposed. In the proposed model, the retrieval result is affected by the automatically generated queries from user preference information as well as the queries explicitly given by user. Therefore, the proposed model can provide the customized search results to each user.

  • PDF

Semantic Search System using Ontology-based Inference (온톨로지기반 추론을 이용한 시맨틱 검색 시스템)

  • Ha Sang-Bum;Park Yong-Tack
    • Journal of KIISE:Software and Applications
    • /
    • v.32 no.3
    • /
    • pp.202-214
    • /
    • 2005
  • The semantic web is the web paradigm that represents not general link of documents but semantics and relation of document. In addition it enables software agents to understand semantics of documents. We propose a semantic search based on inference with ontologies, which has the following characteristics. First, our search engine enables retrieval using explicit ontologies to reason though a search keyword is different from that of documents. Second, although the concept of two ontologies does not match exactly, can be found out similar results from a rule based translator and ontological reasoning. Third, our approach enables search engine to increase accuracy and precision by using explicit ontologies to reason about meanings of documents rather than guessing meanings of documents just by keyword. Fourth, domain ontology enables users to use more detailed queries based on ontology-based automated query generator that has search area and accuracy similar to NLP. Fifth, it enables agents to do automated search not only documents with keyword but also user-preferable information and knowledge from ontologies. It can perform search more accurately than current retrieval systems which use query to databases or keyword matching. We demonstrate our system, which use ontologies and inference based on explicit ontologies, can perform better than keyword matching approach .

Information Sharing Model based on Adaptive Group Communication for Cloud-Enabled Robots (클라우드 로봇을 위한 적응형 그룹통신 기반 정보공유 모델)

  • Mateo, Romeo Mark;Lee, Jaewan
    • Journal of Internet Computing and Services
    • /
    • v.14 no.4
    • /
    • pp.53-62
    • /
    • 2013
  • In cloud robotics, the model to share information efficiently is still a research challenge. This paper presents an information sharing model for cloud-enabled robots to collaborate and share intelligence. To provide the efficient message dissemination, an adaptive group communication based on multi-agent is proposed. The proposed algorithm uses a weight function for the link nodes to determine the significant links. The performance evaluation showed that the proposed algorithm produced minimal message overhead and was faster to answer queries because of the significant links compared to traditional group communication methods.

A 3-Layered Information Integration System based on MDRs End Ontology (MDR과 온톨로지를 결합한 3계층 정보 통합 시스템)

  • Baik, Doo-Kwon;Choi, Yo-Han;Park, Sung-Kong;Lee, Jeong-Oog;Jeong, Dong-Won
    • The KIPS Transactions:PartD
    • /
    • v.10D no.2
    • /
    • pp.247-260
    • /
    • 2003
  • To share and standardize information, especially in the database environments, MDR (Metadata Registry) can be used to integrate various heterogeneous databases within a particular domain. But due to the discrepancies of data element representation between organizations, global information integration is not so easy. And users who are searching integrated information on the Web have limitation to obtain schema information for the underlying source databases. To solve those problems, in this paper, we present a 3-layered Information Integration System (LI2S) based on MDRs and Ontology. The purpose of proposed architecture is to define information integration model, which combine both of the nature of MDRs standard specification and functionality of ontology for the concept and relation. Adopting agent technology to the proposed model plays a key role to support the hierarchical and independent information integration architecture. Ontology is used as for a role of semantic network from which it extracts concept from the user query and the establishment of relationship between MDRs for the data element. (MDR and Knowledge Base are used as for the solution of discrepancies of data element representation between MDRs. Based on this architectural concept, LI2S was designed and implemented.

Semantic Clustering Model for Analytical Classification of Documents in Cloud Environment (클라우드 환경에서 문서의 유형 분류를 위한 시맨틱 클러스터링 모델)

  • Kim, Young Soo;Lee, Byoung Yup
    • The Journal of the Korea Contents Association
    • /
    • v.17 no.11
    • /
    • pp.389-397
    • /
    • 2017
  • Recently semantic web document is produced and added in repository in a cloud computing environment and requires an intelligent semantic agent for analytical classification of documents and information retrieval. The traditional methods of information retrieval uses keyword for query and delivers a document list returned by the search. Users carry a heavy workload for examination of contents because a former method of the information retrieval don't provide a lot of semantic similarity information. To solve these problems, we suggest a key word frequency and concept matching based semantic clustering model using hadoop and NoSQL to improve classification accuracy of the similarity. Implementation of our suggested technique in a cloud computing environment offers the ability to classify and discover similar document with improved accuracy of the classification. This suggested model is expected to be use in the semantic web retrieval system construction that can make it more flexible in retrieving proper document.

A Semantic Web-enabled Woo System for Ontology Construction and Sharing (온톨로지 생성과 공유를 위한 시맨틱 웹 기반 위키 시스템)

  • Kim Hyun-Joo;Choi Joong-Min
    • Journal of KIISE:Software and Applications
    • /
    • v.33 no.8
    • /
    • pp.703-717
    • /
    • 2006
  • The Semantic Web has the objective of developing universal media in which machine-processable semantic information can be represented and shared, and it is therefore important to distribute ontologies that represent this kind of semantic information to the Web and make them available to multiple parties. However, the current ontology authoring tools are not operating on the Web, which makes it difficult to distribute ontologies directly to the Web and to create and edit them collaboratively with other people. This paper proposes a framework that facilitates the ontology construction and sharing, realizing easy distribution of ontologies to the Web. Wiki is one of the frameworks for collaborative construction and sharing of knowledge on the Web, and Wiki contents consist of natural language texts and simple markup language for visualization. For better collaboration in creating and sharing ontologies, this paper suggests the Semantic Wiki that embodies the Semantic Web features to the existing Wiki system. The Semantic Wiki framework facilitates the collaboration in ontology co-authoring and sharing for people, and at the same time, makes it possible for the agent software to easily manage the ontology information. Eventually, the Semantic Wiki system accomplishes various tasks including the semantic view, the semantic navigation, and the semantic query.

The design of Intelligent and Integrated Registries System for e-Business (e-비즈니스를 위한 지능형 통합 레지스트리 시스템 설계)

  • 유정연;김계용;이규철
    • The Journal of Society for e-Business Studies
    • /
    • v.8 no.2
    • /
    • pp.63-76
    • /
    • 2003
  • The fundamental technology to the b2b e-commerce framework is Registry. Although Registries have developed, it is yet difficult to apply in actual e-business . That is, the e-business information was stored in physically and/or logically distributed and heterogeneous Registries. And Registry uses the keyword-based search to discovery the information stored. But, the keyword-based search technology can't provide the discovery the business information necessary for parties and trading partners. As spreading the understand of this problem, it requires the technologies for the integration of distributed and various Registries and the systematic definition and intelligent discovery of the e-business information. In this paper we propose the architecture of intelligent and integrated e-business registry system for solving these problems . This system composed of the Registry Integration Query Manager for integrating various registries and the Intelligent Registry Agent providing the systematic organization and discovery of e-business information.

  • PDF

Reuse of Analysis/Design patterns Based on Analogy (Analogy를 기반으로 한 분석/설계 패턴의 재사용)

  • Kim, Jeong-A;Kim, Haeng-Gon
    • The Transactions of the Korea Information Processing Society
    • /
    • v.6 no.4
    • /
    • pp.916-931
    • /
    • 1999
  • Code reuse in software reuse has several limitations such as difficulties of understanding and retrieval of the reuse code written by other developers. To overcome these problems, it should be possible to reuse the analysis/design information than source code itself. In this paper, we present analogical matching techniques for the reuse of object models and patterns. We have suggested the design patterns as reusable components and the representation techniques to store them. The contents of the paper is as follows.1. analogical matching functions to retrieve analogous components from reusable libraries. 2. the representation of reusable components to be stored in the library in order to support the analogical matching. 3. the design library with more semantic informations about domains. 4. the analogical matching agent with a user-friendly interface that can retrieve the analogous components from the library based on analogical matching techniques.

  • PDF