Welcome to the Intelligent Information System Laboratory(IIS Lab)! Since Intelligent Information Systems (IIS) laboratory has been established, much research on artificial intelligence (AI) and its applications in computer science have been conducted to develop more efficient systems and provide smart services in information-oriented society. Interested research topics in IIS lab (but are not limited to) are semantic web (services), intelligent web services, Social Network Services (SNS) and analysis, big data processing, information retrieval, data mining, decision making, agents, expert systems, etc. Specifically recent research studies are focused on the smart big data processing on social web, Social Network Analysis (SNA), social awareness computing, and content recommendation (recommender) systems. Under Professor In-Jeong Chung, IIS laboratory graduate students have been working eagerly to pursue the academic research achievements and their real world applications. More than 40 alumni diligently work at various positions in prominent enterprises and research institutions, and they did show remarkable performance results and earn outstanding reputation.

Linked Open Data

In computing, linked Data describes a method of publishing structured data so that it can be interlinked and become more useful. It builds upon standard Web technologies such as HTTP and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers. This enables data from different sources to be connected and queried. Tim Berners-Lee, director of the World Wide Web Consortium, coined the term in a design note discussing issues around the Semantic Web project. However, the idea is very old and is closely related to concepts such as the network model (database), citations between scholarly articles, and authority control in libraries.

Semantic Web

The Semantic Web is an evolving extension of the World Wide Web in which web content can be expressed not only in natural language, but also in a format that can be read and used by software agents, thus permitting them to find, share and integrate information more easily. It derives from W 3 C director Tim Berners-Lee's vision of the Web as a universal medium for data, information, and knowledge exchange. At its core, the semantic web is comprised of a philosophy, a set of design principles, collaborative working groups, and a variety of enabling technologies. Some elements of the semantic web are expressed as prospective future possibilities that have yet to be implemented or realized. Other elements of the semantic web are expressed in formal specifications. Some of these include Resource Description Framework (RDF), a variety of data interchange formats (e.g. RDF/XML, N3, Turtle, N-Triples), and notations such as RDF Schema (RDFS) and the Web Ontology Language (OWL), all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain.

Social Semantic Web

The concept of the Social Semantic Web subsumes developments in which social interactions on the Web lead to the creation of explicit and semantically rich knowledge representations. The Social Semantic Web can be seen as a Web of collective knowledge systems, which are able to provide useful information based on human contributions and which get better as more people participate. The Social Semantic Web combines technologies, strategies and methodologies from the Semantic Web, social software and the Web 2.0.

International Journals

IoT-based Occupancy Detection System in Indoor Residential Environments, Building and Environment, 2018. (Accepted on 30 Jan 2018) [SCIE]

An Approach for User Interests Extraction Using Decision Tree and Social Network Analysis, Advanced Multimedia and Ubiquitous Engineering, Lecture Notes in Electrical Engineering (LNEE), pp. 551-560, 30 Aug 2016. [SCOPUS]

Collaborative Ontology Generation Method Using an Ant Colony Optimization Model, Advanced Multimedia and Ubiquitous Engineering, Lecture Notes in Electrical Engineering (LNEE), pp. 541-549, 30 Aug 2016. [SCOPUS]

Dynamic Scheduling Method for Cooperative Resource Sharing in Mobile Cloud Computing Environments, KSII Transactions on Internet and Information Systems, Vol. 10, No. 2, pp. 484-503, Feb 2016. [SCIE]

A Real Time Process Management System Using RFID Data Mining, Computers in Industry, Vol. 65, Issue 4, pp. 721-732, May 2014. [SCIE]

An Intelligent Dynamic Context-aware System Using Fuzzy Semantic Language, Mobile, Ubiquitous, and Intelligent Computing, Lecture Notes in Electrical Engineering (LNEE). Vol. 274, pp. 143-149, 2014. [SCOPUS]

An Improved Method for Measurement of Gross National Happiness Using Social Network Services, Advanced Technologies, Embedded and Multimedia for Human-centric Computing, Lecture Notes in Electrical Engineering (LNEE), Vol. 260, pp. 23-30, 2014. [SCOPUS]

Community Topical “Fingerprint” Analysis based on Social Semantic Networks, Advanced Technologies, Embedded and Multimedia for Human-centric Computing, Lecture Notes in Electrical Engineering (LNEE), Vol. 260, pp. 83-92, 2014. [SCOPUS]

Content Recommendation Method using FOAF and SNA, Advanced Technologies, Embedded and Multimedia for Human-centric Computing, Lecture Notes in Electrical Engineering (LNEE), Vol. 260, pp. 93-104, 2014. [SCOPUS]

An Improved Social Network Analysis Method for Social Networks, Advanced Technologies, Embedded and Multimedia for Human-centric Computing, Lecture Notes in Electrical Engineering (LNEE), Vol. 260, pp. 115-126, 2014. [SCOPUS]

International Conferences

Rule-based Topic Trend Analysis by Using Data Mining Techniques, The 12th International Conference on Future Information Technology (FutureTech2017) , pp.466-473, 22-24 May 2017.

Sentiment trend analysis in social web environments, 2017 IEEE International Conference on Big Data and Smart Computing, pp. 261-268, 13-16 Feb 2017. (Jeju, South Korea)

Collaborative Ontology Generation Method Using an Ant Colony Optimization Model, The 11th International Conference on Future Information Technology (FutureTech 2016), 20-22 Apr 2016. (Beijing, China)

An Approach for User Interests Extraction Using Decision Tree and Social Network Analysis, The 11th International Conference on Future Information Technology (FutureTech 2016), 20-22 Apr 2016. (Beijing, China)

Agglomerative Hierarchical Clustering for Information Retrieval Using Latent Semantic Index, The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015), pp. 426-431, 19-21 Dec 2015. (Chengdu, China)

Domestic Conferences

주거 환경에서 사물인터넷 기반의 실시간 공기질 측정 시스템, 2017년 지능정보시스템학회 추계공동학술대회, pp. 131, 17-18 Aug 2017.

단어벡터와 문장벡터를 이용한 한국어 뉴스요약에 관한 연구, 2017 한국IT서비스학회 춘계학술대회, pp. 72-75, 17 May 2017, 서울.

은닉 마코프 모델을 이용한 지역적 기상정보 제공 시스템, 제18회 전자정보통신 학술대회, pp. 122-124, 2-3 Dec 2016, 대전.

문장 벡터를 이용한 뉴스 기사 정보 통합에 관한 연구, 제18회 전자정보통신 학술대회, pp. 115-118, 2-3 Dec 2016, 대전.

집단지성을 이용한 기상정보 제공 시스템에 관한 연구, 2016년도 한국통신학회 동계종합학술발표회, 20-22 Jan 2016, 하이원리조트.

모바일 기기 자원 공유를 위한 아키텍처에 대한 연구, 2015년도 한국통신학회 동계종합학술발표회, pp. 777-778, 21-23 Jan 2015, 하이원리조트.

메타데이터를 사용한 역사 온톨로지 생성 방법에 관한 연구, 2015년도 한국통신학회 동계종합학술발표회, pp. 801-802, 21-23 Jan 2015, 하이원리조트.

소셜 네트워크 서비스에서 집단 공통 관심사의 추천 방법, 2015년도 한국통신학회 동계종합학술발표회, pp. 797-798, 21-23 Jan 2015, 하이원리조트.

집단지성을 이용한 모바일 스팸 메시지의 필터링에 관한 연구, 2015년도 한국통신학회 동계종합학술발표회, pp. 805-806, 21-23 Jan 2015, 하이원리조트.

데이터 마이닝과 집단 지성 기법을 활용한 소셜 콘텐츠 추천 방법에 대한 연구, 한국정보처리학회 2014년 추계학술발표대회 논문집, 제21권, 제2호, pp. 1050-1053, 7-8 Nov 2014.

온라인 분석 처리(OLAP) 기반의 홈쇼핑 제품 분석 방법, 한국정보처리학회 2014년 추계학술발표대회 논문집, 제21권, 제2호, pp. 1046-1049, 7-8 Nov 2014.

감정 분석을 이용한 협업적 영화 추천 방법, 한국정보처리학회 2014년 춘계학술발표대회 논문집, 제21권, 제1호, pp. 956-959, 24-25 Apr 2014.

정보 검색에서의 잠재 의미 분석 방법을 이용한 응집 계층 군집화 기법 연구, 한국정보처리학회 2014년 춘계학술발표대회 논문집, 제21권, 제1호, pp. 952-955, 24-25 Apr 2014.

개미 군집 최적화 알고리즘과 센티워드넷을 이용한 사용자 감성 동향 분석 방법 연구, 한국정보처리학회 2014년 춘계학술발표대회 논문집, 제21권, 제1호, pp. 948-951, 24-25 Apr 2014. (최우수논문)