• 전자통신동향분석
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• 제37권6호
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• pp.74-83
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• 2022

Shannon and Weaver's semantic communication has been actively studied in recent years as a new communication method to provide intelligent mobile services without requiring more capacity, infrastructure, and energy, even with limited radio resources. Considered a breakthrough beyond the Shannon paradigm, semantic communication aims at successfully transmitting semantic information conveyed by a source rather than accurately receiving each symbol or bit, regardless of meaning. Thus, semantic communication can lead to knowledgeable systems that significantly reduce data traffic because the transmitter only transmits the necessary information related to a specific task. This study describes essential differences between existing and semantic communication, research trends related to semantic communication principles and theory, performance metrics of semantic communication, semantic communication system framework, and future research and development issues.

• 한국정보시스템학회지:정보시스템연구
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• 제31권4호
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• pp.01-23
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• 2022

Purpose This study aims to propose a deep learning-based fake review detection model by combining authors' linguistic features and semantic information of reviews. Design/methodology/approach This study used 358,071 review data of Yelp to develop fake review detection model. We employed linguistic inquiry and word count (LIWC) to extract 24 linguistic features of authors. Then we used deep learning architectures such as multilayer perceptron(MLP), long short-term memory(LSTM) and transformer to learn linguistic features and semantic features for fake review detection. Findings The results of our study show that detection models using both linguistic and semantic features outperformed other models using single type of features. In addition, this study confirmed that differences in linguistic features between fake reviewer and authentic reviewer are significant. That is, we found that linguistic features complement semantic information of reviews and further enhance predictive power of fake detection model.

• 한국언어정보학회지:언어와정보
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• 제8권2호
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• pp.131-147
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• 2004

the two Korean causal conjunctive suffixes, -nula(ko) and -nun palamey, based on corpus linguistic analysis. Many of the linguistic accounts available, both in pedagogical reference and in the literature on linguistics, provide incomplete analyses of these suffixes, based on fabricated linguistic data. Using naturally occurring, real linguistic data, this paper examines the syntactic and semantic structures of the two causal suffixes through a consideration of three areas of corpus linguistic analysis: token frequencies, collocations, and semantic prosody. An analysis based on concordance data reveals that the two causal connectives, -nula(ko) and -nun palamey, have more differences than similarities in terms of syntactic and semantic constraints. The idiosyncratic structures of the two suffixes are discussed in terms of same subject condition, verb selection, same agent condition, synchronicity condition, and negative semantic prosody.

• 음성과학
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• 제15권2호
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• pp.111-118
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• 2008

We identified the characteristic impairmants of linguistic semantic memory in patients with prodromal Alzheimer's disease(AD) and mild AD. To elucidate the earliest changes of semantic language function in subjects with AD, performances on confrontation naming test and verbal fluency task were compared among patients with AD patients (n=20), mild AD patients (n=27) and healthy elderly controls (n=20). Tasks in this study included the confrontation naming test of Test of Lexical Processing in Aphasia(TLPA/Japanese) and one-minute verbal fluency task (semantic/ phonetic categories). The results were as follows: 1) Performances of the prodromal AD group showed the comparable to those of the control group on the confrontation naming test, 2) In the semantic/phonetic verbal fluency tasks, the performances of the control group were better than those of the prodromal AD and mild AD groups, but no significant differences were shown between the prodromal AD and the mild AD group.

• 인간행동과 음악연구
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• 제21권2호
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• pp.107-134
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• 2024

본 연구는 음악감상 시 지각하는 음질(sound quality)을 평가할 때, 어휘를 통한 평가가 음악 유형에 따라 달라지는지 분석하여, 음질 평가 어휘의 의미론적 속성에 대한 기초 자료를 제공하고자 하였다. 평균 9.4년의 전문 훈련을 받은 20-30대의 음악 전공자 31명이 참여하였고, 각 참여자는 성부수와 악기의 소리 산출 방식(악기군)에 따라 구성된 9개 음악을 듣고 음질을 나타내는 18개 의미단어 쌍을 평가하였다. 요인 분석을 통해 동일 요인에 영향을 받는 단어들을 그룹화하였고, 다변량 분산 분석을 통해 각 요인 그룹별로 성부 수와 악기군에 따른 차이를 확인하였다. 또한, 유의한 차이를 보이는 의미 단어 세트를 사용해 레이더 차트를 그려 각 음악별 차이를 시각적으로 분석하였다. 연구 결과, 4개 요인이 추출되었으며, '부드러운-딱딱한', '둔한-날카로운', '지저분한-정돈된', '낮은- 높은'의 단어 쌍이 음악 유형에 따라 유의한 차이를 보였다. 이 4개 단어 쌍을 바탕으로 작성된 레이더 차트는 각 음악에 대한 음질 평가를 구분하는 데 효과적이었다. 이 결과는 한국어 기반 음질평가 어휘 개발 시, 국외 연구에서 보고된 범주와는 다른 구조의 체계가 필요하며, 언어적·문화적 요인의 반영이 중요함을 시사한다. 또한, 교차 감각 대응(cross-modal correspondence)에 기반한 어휘 범주 중에서도 음향적 속성에 민감한 범주가 존재함을 확인하였다. 본 연구는 언어적·문화적 속성과 더불어 음질에 영향을 미치는 음악 요인을 반영할 수 있는 음질 평가 어휘 개발에 필요한 기술자료를 제공할 것으로 기대된다.

• Journal of Korean Neurosurgical Society
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• 제47권1호
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• pp.17-25
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• 2010

Objective: The focus of this study is brain plasticity associated with semantic aspects of language function in patients with medial temporal lobe epilepsy (mTLE) Methods: Using longitudinal functional magnetic resonance imaging (fMRI), patterns of brain activation were observed in twelve left and seven right unilateral mTLE patients during a word-generation task relative to a pseudo-word reading task before and after anterior temporal section surgery. Results: No differences were observed in precentral activations in patients relative to normal controls (n = 12), and surgery did not alter the phonological-associated activations. The two mTLE patient groups showed left inferior prefrontal activations associated with semantic processing (word-generation>pseudo-word reading), as did control subjects. The amount of semantic-associated activation in the left inferior prefrontal region was negatively correlated with epilepsy duration in both patient groups. Following temporal resection, semantic-specific activations in inferior prefrontal region became more bilateral in left mTLE patients, but more left-lateralized in right mTLE patients. The longer the duration of epilepsy in the patients, the larger the increase in the left inferior prefrontal semantic-associated activation after surgery in both patient groups. Semantic activation of the intact hippocampus, which had been negatively correlated with seizure frequency, normalized after the epileptic side was removed. Conclusion: These results indicate alternation of semantic language network related to recruitment of left inferior prefrontal cortex and functional recovery of the hippocampus contralateral to the epileptogenic side, suggesting an intra- and inter-hemispheric reorganization following surgery.

• 디지털융복합연구
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• 제17권2호
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• pp.283-292
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• 2019

초기의 인지 감퇴를 판단하는 요소로 의미지식 및 의미 연관관계의 범주별 손상 유무가 주목을 받고 있다. 본 연구에서는 정상 및 주관적 기억장애, 경도인지장애 노인을 대상으로 의미연상과제를 사용하여 인지 감퇴의 정도에 따라 관찰되는 의미 하위범주별 수행과 오류유형의 차이를 살펴보고자 하였다. 연구 결과, 의미연상과제 범주별 정반응 점수와 반응시간에서 세 군 간 유의한 차이를 보였으며, 하위범주 중, '기능'에서 가장 높은 수행력을, '상위'와 '부분/전체'에서 가장 낮은 수행력을 보였다. 또한, 오류유형별 산출 횟수는 정상에서 경도인지장애 노인으로 갈수록 유의하게 높아졌으며, 무반응은 주관적 기억장애 노인부터 유의하게 증가하였다. 결론적으로, 인지 감퇴가 진행될수록 의미연결망에서 범주별 손상의 정도와 과정이 다르므로, 기억장애 노인의 인지적 감퇴를 확인하고 추적 관찰하기 위한 지표로 의미연상과제 수행력을 활용할 수 있을 것이다.

• 한국전자거래학회지
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• 제8권4호
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• pp.183-205
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• 2003

오늘날 지식관리시스템은 효과적으로 지식 프로세스를 지원하고. 다양한 비정형의 지식들을 처리하기 위한 다양한 시도들을 하고 있다. 그러나 지식 검색, 정보 추출, 관리 등에서 근본적인 약점을 갖고 있으며, 다양한 지식 자원들을 통합하고 연동하는데 어려움을 갖고 있다. 이런 한계들을 극복하고 지식관리 방식을 개선하기 위한 다양한 연구들이 시도되고 있다. 본 논문에서는 최근 주목받고 있는 시맨틱 웹 기술을 적용함으로써 지식관리시스템들이 직면한 한계들을 극복할 수 있는지, 그리고 어떤 장점과 기회들을 얻을 수 있는지 고찰하였다. 그리고 기존 지식관리시스템 아키텍처와 비교하여 변경되는 부분들을 살폈으며. 새로운 시맨틱 지식관리시스템 아키텍처와 향후 전망, 그리고 나아갈 바를 제시하고자 하였다.

• 대한인간공학회지
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• 제34권6호
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• pp.563-581
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• 2015

Objective: This study was conducted to investigate the potential of sematic network analysis for design research. Background: As HCD (Human-Centered Design) was emphasized, lots of design research methodologies were developed and used in order to find user needs. However, it is still difficult to discover users' latent needs. This study suggests the semantic network analysis as a complementary means for design research, and proved its potential through the practical application, which compares multi-screen purchase and usage behaviors between America and China. Method: We conducted an in-depth interview with 32 consumers from USA and China, and analyzed interview texts through semantic network analysis. Cross cultural differences in purchase and usage behaviors were investigated, based on measuring centrality and community modularity of devices, functions, key buying factors and brands. Results: Americans use more services and functions in the multi-screen environment, compared to Chinese. As a device substitutes other devices, traditional boundaries of the devices are disappearing in the USA. Americans consider function to recall Apple, but Chinese consider function, design and brand to recall Apple, Sony and Samsung as an important brand at the time of their purchase. Conclusion: This study shows the potential of semantic network analysis for design research through the practical application. Semantic network analysis presents how the concepts regarding a theme are structured in the cognitive map of users with visual images and quantitative data. Therefore, it can complement the qualitative analysis of the existing design research. Application: As the design environment becomes more and more complicated like multi-screen environment, semantic network analysis, which is able to provide design insights in the intuitive and holistic perspective, will be acknowledged as an effective tool for further design research.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1258-1270
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• 2017

'Semantic gap' has been a year-old problem in automatic video summarization, which refers to the gap between semantics implied in video summarization algorithms and what people actually infer from watching videos. Using the external EEG bio-feedback obtained from video watchers as a solution of this semantic gap problem has several another issues: First, how to define and measure noises against ERP waveforms as signals. Second, whether individual differences among subjects in terms of noise and SNR for conventional ERP studies using still images captured from videos are the same with those differently conceptualized and measured from videos. Third, whether individual differences of subjects by noise and SNR levels help to detect topic-irrelevant shots as signals which are not matched with subject's own semantic topical expectations (mis-match negativity at around 400m after stimulus on-sets). The result of repeated measures ANOVA test clearly shows a 2-way interaction effect between topic-relevance and noise level, implying that subjects of low noise level for video watching session are sensitive to topic-irrelevant visual shots, while showing another 3-way interaction among topic-relevance, noise and SNR levels, implying that subjects of high noise level are sensitive to topic-irrelevant visual shots only if they are of low SNR level.