• Title/Summary/Keyword: semantic

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Reputation Analysis of Document Using Probabilistic Latent Semantic Analysis Based on Weighting Distinctions (가중치 기반 PLSA를 이용한 문서 평가 분석)

  • Cho, Shi-Won;Lee, Dong-Wook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.3
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    • pp.632-638
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    • 2009
  • Probabilistic Latent Semantic Analysis has many applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. In this paper, we propose an algorithm using weighted Probabilistic Latent Semantic Analysis Model to find the contextual phrases and opinions from documents. The traditional keyword search is unable to find the semantic relations of phrases, Overcoming these obstacles requires the development of techniques for automatically classifying semantic relations of phrases. Through experiments, we show that the proposed algorithm works well to discover semantic relations of phrases and presents the semantic relations of phrases to the vector-space model. The proposed algorithm is able to perform a variety of analyses, including such as document classification, online reputation, and collaborative recommendation.

A Semantic Aspect-Based Vector Space Model to Identify the Event Evolution Relationship within Topics

  • Xi, Yaoyi;Li, Bicheng;Liu, Yang
    • Journal of Computing Science and Engineering
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    • v.9 no.2
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    • pp.73-82
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    • 2015
  • Understanding how the topic evolves is an important and challenging task. A topic usually consists of multiple related events, and the accurate identification of event evolution relationship plays an important role in topic evolution analysis. Existing research has used the traditional vector space model to represent the event, which cannot be used to accurately compute the semantic similarity between events. This has led to poor performance in identifying event evolution relationship. This paper suggests constructing a semantic aspect-based vector space model to represent the event: First, use hierarchical Dirichlet process to mine the semantic aspects. Then, construct a semantic aspect-based vector space model according to these aspects. Finally, represent each event as a point and measure the semantic relatedness between events in the space. According to our evaluation experiments, the performance of our proposed technique is promising and significantly outperforms the baseline methods.

Real-time Data Integration using Ontology and Semantic Mediators (온톨로지와 시맨틱 중재 에이전트를 이용한 실시간 통합 환경 구축에 관한 연구)

  • Park, Jin-Soo
    • Asia pacific journal of information systems
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    • v.16 no.4
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    • pp.151-178
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    • 2006
  • The objective of this research is to develop a formal framework and methodology to facilitate real-time data integration, thus enabling semantic interoperability among distributed and heterogeneous information systems. The proposed approach is based on the concepts of "ontology" and "semantic mediators." An ontology is developed and used to capture the intension (including structure, integrity rules and meta-properties) of the database schema. We also develop the agent communication protocol for semantic reconciliation, which is based on the theory of speech acts and agent communication language. This protocol is used by a set of semantic mediators, which automatically detect and resolve various semantic conflicts at the data- and schema-levels by referring to the ontology. A mediation-based query processing technique is developed to provide uniform and integrated access to the multiple heterogeneous information sources. Prototype tools are being implemented to provide proof of concept for this work.

The Effect of Semantic Neighborhood Density in Korean Visual Word Recognition (한국어 시각단어재인에서 의미 이웃크기 효과)

  • Kwon, You-An;Nam, Ki-Chun
    • Proceedings of the KSPS conference
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    • 2007.05a
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    • pp.173-175
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    • 2007
  • The lexical decision task (LDT) commonly postulates the activation of semantic level. However, there are few studies for the feedback effect from semantic level. The purpose of the present study is to investigate whether the feedback effect from semantic level is facilitatory or inhibitory in Korean LDT. In Experiment 1, we manipulated the number of phonological syllable neighbors (PSN) and the number of semantic neighbors (SEN) orthogonally while orthographic syllable neighbor (OSN) is dense. In the results, the significant facilitatory effect was shown in words with many SEN. In Experiment 2, we examined same conditions as Experiment 1 but OSN was sparse. Although the similar lexical decision latency pattern was shown, there was no statistical significance. These results can be explained by the feedback activation from semantic level. If a target has many SENs and many PSNs, it receives more feedback activation from semantic level than a target with few SENs and PSNs.

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A Semantic Content Retrieval and Browsing System Based on Associative Relation in Video Databases

  • Bok Kyoung-Soo;Yoo Jae-Soo
    • International Journal of Contents
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    • v.2 no.1
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    • pp.22-28
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    • 2006
  • In this paper, we propose new semantic contents modeling using individual features, associative relations and visual features for efficiently supporting browsing and retrieval of video semantic contents. And we implement and design a browsing and retrieval system based on the semantic contents modeling. The browsing system supports annotation based information, keyframe based visual information, associative relations, and text based semantic information using a tree based browsing technique. The retrieval system supports text based retrieval, visual feature and associative relations according to the retrieval types of semantic contents.

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Korean Semantic Annotation on the EXCOM Platform

  • Chai, Hyun-Zoo;Djioua, Brahim;Priol, Florence Le;Descles, Jean-Pierre
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.548-556
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    • 2007
  • We present an automatic semantic annotation system for Korean on the EXCOM (EXploration COntextual for Multilingual) platform. The purpose of natural language processing is enabling computers to understand human language, so that they can perform more sophisticated tasks. Accordingly, current research concentrates more and more on extracting semantic information. The realization of semantic processing requires the widespread annotation of documents. However, compared to that of inflectional languages, the technology in agglutinative language processing such as Korean still has shortcomings. EXCOM identifies semantic information in Korean text using our new method, the Contextual Exploration Method. Our initial system properly annotates approximately 88% of standard Korean sentences, and this annotation rate holds across text domains.

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Semantic Object Modeling for Shopping Mall Database Design (쇼핑몰 데이터베이스 설계를 위한 의미객체 모델링)

  • Jeon, Tae-Bo;Kim, Ki-Dong;Oh, Jun-Hyung
    • Journal of Industrial Technology
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    • v.25 no.A
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    • pp.123-131
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    • 2005
  • Semantic object model has widely been recognized as an alternative data modeling approach to entity-relationship model for database system design. In this study, we have presented a semantic object model for intermediary type shopping mall consisting of multiple buyers and sellers. Essential processes and information with regard to the customer management, product management, price estimation, product order etc. have been considered for this study. Upon careful examination and analysis of them, a detailed semantic objects and attributes have been drawn and structured into semantic object diagrams. The final objects were converted into an entity-relationship diagram so that intuitive comparison could be made for relational database design. The results in this study may form a conceptual framework for both academic concerns and more complicated system applications.

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Automatic Processing of Predicative Nouns for Korean Semantic Recognition. (한국어 의미역 인식을 위한 서술성 명사의 자동처리 연구)

  • Lee, Sukeui;Im, Su-Jong
    • Korean Linguistics
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    • v.80
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    • pp.151-175
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    • 2018
  • This paper proposed a method of semantic recognition to improve the extraction of correct answers of the Q&A system through machine learning. For this purpose, the semantic recognition method is described based on the distribution of predicative nouns. Predicative noun vocabularies and sentences were collected from Wikipedia documents. The predicative nouns are typed by analyzing the environment in which the predicative nouns appear in sentences. This paper proposes a semantic recognition method of predicative nouns to which rules can be applied. In Chapter 2, previous studies on predicative nouns were reviewed. Chapter 3 explains how predicative nouns are distributed. In this paper, every predicative nouns that can not be processed by rules are excluded, therefore, the predicative nouns noun forms combined with the case marker '의' were excluded. In Chapter 4, we extracted 728 sentences composed of 10,575 words from Wikipedia. A semantic analysis engine tool of ETRI was used and presented a predicative nouns noun that can be handled semantic recognition language.

The Hierarchical Structure of Semantic Property (명사의 의미소성의 계층구조)

  • Yoon, K.J.;Park, C.K.;Lee, J.K.
    • Proceedings of the KIEE Conference
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    • 1988.07a
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    • pp.616-619
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    • 1988
  • This paper deals with a semantic properties of Korea noun for semantic process in machine translation. The procedure is carried out as follow; 1) 17,000 words of Korean nouns are collected. 2) Semantic category is classifed into 39 markers. 3) We slow the redundancy of semantic properties and improve the efficiency of dictionary by marking the hierarchical concept structure.

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Intelligent Information Service using Agent Technology on the Semantic Web (Semantic Web 환경에서 Agent 기술을 이용한 지능형 정보 서비스)

  • Park, Jae-Hong;Lim, You-Jeong;Kim, Do-Wan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.713-716
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    • 2003
  • Semantic Web 환경을 구축하고, Semantic Web 환경에서 자동화된 서비스 발견, 서비스 수행, 서비스 구성과 상호운영이라는 Semantic web service를 수행할 수 있는 DAML-based web service 온톨로지를 이용하여 자동화된 항공권 예약 서비스와 테마별 여행 스케줄 서비스를 제공하는 프로토타이프 테스트 베드 구축에 대해 살펴 볼 것이다.

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