• Journal of Digital Contents Society
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• v.14 no.4
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• pp.463-469
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• 2013

The set-based POI search algorithm showed better performance than the existing hard matching search when inaccurate queries are entered. In the set-based POI search algorithm, however, there is a problem that can't classify duplicate characters within a record. This is due to it's 'set-based' search property. To solve this problem, we improve the existing set-based POI search algorithm. In this paper, we propose and implement an improved set-based POI search algorithm that is able to deal duplicate characters properly. From the experimental results, we can find that our technique for duplicate characters improves the performance of the existing set based POI search algorithm.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.541-548
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• 2008

Today, GIS service requires not only a simple map visualization but also geographical information of each object. However, POI service provides simply geographical naming service only because of lacking in geographical information of objects. In addition, geographical space data representation functioning that is the basis for most GIS has not been standardized yet. In this paper, it is designed that POI DB that is hierarchical and user-oriented and it is constructed that GVP(GML Viewer POI) that is the basis of GML specification to overcome difference and incompatibility of map visualization. GVP adds POI DB in a 3-Layer structure to dBase file managing the information of SHP file attributes. Therefore, POI visualization enables hierarchical search, by providing POI information in directory-type grouping. Consisting of map visualization and POI visualization, GVP regenerates attributes in the form of individual objects and responds to user events immediately.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.2
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• pp.81-89
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• 2019

As the need for the integration of administrative datasets and address information increases, there is also growing interest in POI (Point of Interest) data as a source of location information across applications and platforms. The purpose of this study is to develop an alias database management method for efficient POI searching, based on POI data representing position. First, we determine the attributes of POI alias data as it is used variously by individual users. When classifying aliases of POIs, we excluded POIs in which the typo and names are all in English alphabet. The attributes of POI aliases are classified into four categories, and each category is reclassified into three classes according to the strength of the attributes. We then define the quality of POI aliases classified in this study through experiments. Based on the four attributes of POI defined in this study, we developed a method of managing one POI alias through and integrated method composed of word embedding and a similarity measurement. Experimental results of the proposed POI alias management method show that it is possible to utilize the algorithm developed in this study if there are small numbers of aliases in each POI with appropriate POI attributes defined in this study.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.970-973
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• 2007

사용자에게 제공하는 일반적인 텔레매틱스 서비스들은 광역 서비스로 한정되어 있고 특정 관심지점(POI, Point-of-Interest)에 대한 경로와 간략한 안내 서비스만을 제공하고 있다. 그러나 사용자들은 광역 서비스뿐만 아니라 POI 지점의 상세 서비스들도 제공받기를 원한다. 따라서, 각 POI 지점에서의 상세 서비스를 지원하고 이를 관리 제어할 수 있는 텔레매틱스 POI 응용 서비스가 요구되고 있다. 본 논문에서는 POI 지점의 상세 서비스를 제공하기 위하여 GIS 기반 텔레매틱스 POI 응용 서비스를 설계하고 텔레매틱스 POI 단말을 설계/구현한다. 구현된 텔레매틱스 POI 단말은 GPS 모듈로부터 좌표를 수신하고 Shape 뷰어에서 파싱하여 현재위치를 구한다. ESRI Shape 파일 및 DBF 파일을 파싱하여 현재위치와 매칭시킨 후 POI 상세 서비스를 디스플레이 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.3
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• pp.339-346
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• 2016

Semantic search recently been used in the search field. POI is one of the most essential information that make up the geographic information, and many of the geographic information system has POI search function as a basic. In this study, we propose POI semantic search using collective intelligence. For this, we designed and implemented service that constructs empirical information from tag and image, and provides an intuitive spatial navigation experience. For POI search, collective intelligence platform that many users can participate to collect variety information was designed and implemented.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.7
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• pp.694-702
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• 2008

The web might be today's most widely-used technology and over the past few years, the web has evolved through various phases and is a mature technology Specially, the web interface technologies, such as folksonomy, tagging, RSS have been developed and changed with respect to user-friendly. In this paper, we should apply to not only the general structure scheme but also the tagging technology for POI information management and develop POIM(POI Management tool)for it. For POI service with user-friendly, the user can available to define, modify, and delete for a specific POI object based on XML by using POIM and then these should be saved on GML.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.316-317
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• 2017

Augmented reality is a technology that combines the virtual world based on the real world. This technique requires POI data to recognize the marker and identify the marker. POI data can be easily registered and used by anyone, and there is a need to provide a standard for accessing POI data because a large amount of data is accumulated in the existing augmented reality platform. Therefore, in this paper, we propose a category composition method for POI data integration using ontology which is a paradigm of providing relationship and information sharing. It consists of a combination of the POI core of W3C and OWL, which is the expression language of the ontology.

• Journal of KIISE:Software and Applications
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• v.36 no.3
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• pp.226-235
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• 2009

People use various information for searching POI in the navigation system such as name, category, address, phone number. Most of users use name and category to search their POT. They don't know exact name in POI DB provided by Maker. They use abbreviated or generalized name as key word for searching POI. Because of these reasons, the hit ratio has been very low. In this paper, We suggest a extra DB_construction system for raising the hit ratio. It generates allomorphes DB link to the POI name in original DB. We classified the POI names in original DB into seven types of allomorph by analyzing the gathered patterns from the POI DB which has over 650,000 entries. For auto_generating the allomorphes, we made 577 rules based on the classified types. And we generated the allomorphes manually for the entries which are difficult to make the rule and has low frequency The generated allomorphes account for 35.8% of all original DB. The hit ratio is 89% under suggested system.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.256-259
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• 2004

Recently, Location-based services(LBS) allow consumers to receive services based on their geographic location data. Users want to take services based location information with portable devices. And Point of Interest(POI) information's usage is increasing with mobile device's development and user's interest. And this paper shows that we connect the multimedia POI database(DB), provide the multimedia services through the portable devices and search POI using location and direction information. The multimedia POI is consisted of sound, image, moving image and animation with location information. When we search POI, we find POI in DB using the area zone and direction information.[l]

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.722-725
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• 2015

모바일 환경에서 사용자의 GPS 궤적은 위치기반서비스(Location Based Service)에서 새로운 자원으로써 활용되고 있다. 위치기반서비스의 확장을 위해 단순히 사용자의 위치를 지도에 표시하는 것뿐만 아니라 사용자들이 위치했던 장소들이 내포하고 있는 의미를 발견해 내는 것이 필요하다. 이를 위해 최근 사용자의 위치정보에 관심지점(POI: Point of Interest)의 정보를 결합하여 시맨틱 궤적(Semantic Trajectory)을 생성하고 분석하는 연구들이 진행되고 있다. 이러한 기존연구의 경우 시맨틱 궤적을 생성하기 위해, 사용자의 GPS 궤적과 POI의 면적 정보(polygon)가 겹칠 경우를 찾아내서 이를 시맨틱 궤적으로 생성하였다. 하지만 대부분 공개된 POI 정보는 실제 장소들의 면적 정보를 제공하지 않고 좌표(point) 값 만을 제공하기 때문에 기존의 방법으로는 시맨틱 궤적을 생성하지 못하는 문제가 있다. 본 논문에서는 사용자의 GPS 궤적과 POI의 좌표 값을 이용하여 사용자가 실제 방문했을 것으로 예상되는 POI 를 추정하고 이를 시맨틱 궤적으로 생성해 내는 방법을 제안한다. 제안하는 기법은 GPS 궤적의 속력 정보를 사용하여 사용자가 정지했었던 구간을 판별하고, 정지 구간 주변의 POI 밀도에 따라 정지 구간을 영역으로 확장한다. 그리고 영역에 포함된 POI 중 정지 구간과의 거리가 가장 가깝고, 가장 오랜 시간 포함되었던 POI를 사용자가 방문했던 POI로 판단한다. 이 방법은 POI의 면적정보가 없는 제한적인 상황에서도 시맨틱 궤적을 생성할 수 있다는 장점을 가진다.