• Proceedings of the KIEE Conference
• /
• 2003.11c
• /
• pp.604-607
• /
• 2003

Most recommendation systems recommend the products or other information satisfying preferences of users on the basis of the users' previous profile information and other information related to product searches and purchase of users visiting web sites. This study aims to apply these application categories to e-mail more necessary to users. The E-Mail System has the strong personality so that there will be some problems even if e-mails are automatically classified by category through the learning on the basis of the personal rules. In consideration with this aspect, we need the semi-automatic system enabling both automatic classification and recommendation method to enhance the satisfaction of users. Accordingly, this paper uses two approaches as the solution against the misclassification that the users consider as the accuracy of classification itself using the dynamic threshold in Bayesian Learning Algorithm and the second one is the methodological approach using the recommendation agent enabling the users to make the final decision.

• The Journal of the Korea Contents Association
• /
• v.12 no.11
• /
• pp.502-510
• /
• 2012

As defense science and technology are developing, smart weapons are being developed continually. The collection and analysis of the future strategic weapon information from all over the world have become a greater priority because information sharing became active. So, a system to manage and analyze heterogeneous defense intelligence is required. Semantic Web is the next generation knowledge information management technology for integrating, searching and navigating heterogeneous knowledge resource. Recently, Semantic Web is wildly being used in intelligent information management system. Semantic Web supports the analysis with the high reliability because it supports the simple keyword search as well as the semantic based information retrieval. In this paper, we propose the semantic web based multi-dimensional information analysis system on the national defense weapons that constructs ontology for various weapons information such as weapon specifications, nations, manufacturers and technologies and searches and analyses the specific weapon based on ontology. The proposed system supports the semantic search and multi-dimensional information analysis based on the relations between weapon specifications. Also, our system improves the efficiency on acquiring smart weapon information because it is developed with ontology based on military experts' knowledge and various web documents related with various weapons and intelligent search service.

• Journal of the Korean Society for information Management
• /
• v.16 no.2
• /
• pp.105-134
• /
• 1999

For efficient and precise searches in the Web environment, resources should be coded in a structured way. HTML does not cover semantic structure because of its fixed tagging. XML, which has emerged as an alternative standard markuplanguage, uses custom tags that allow structural searching. Therefore, this study aims to compare XML with HTML in terms of their characteristics and retrieval functions. In order to test retrieval functions of XML- and HTML-based systems, we constructed an experimental XML-based system. The XML-based system has several advantages over the HTML system. However, some improvements are needed to make the XML system more comprehensive and effective. First, XML document search engines with user-friendly interfaces are needed. Second, popular Web browsers such as Explorer and Communicator need to support XML 1.0 specification completely. Third, Open DTD format, which will allow information retrieval systems to retrieve documents and compress them into one single format, is also needed to control Web documents more efficiently.

• The Journal of Society for e-Business Studies
• /
• v.4 no.2
• /
• pp.1-22
• /
• 1999

In this paper, we review and classify shopping information services for electronic commerce in Korea. Shopping information services for electronic commerce can be divided into shopping mall information service and product information service. Shopping mall information service simply shows and suggests information on the shopping malls that it has in its data store. But product information service provides information about the items of the shopping malls the service has and therefore gives more powerful and convenient interfaces to users. Cutting-edge product information services can perform online comparison shopping facility, which searches and compares the items what the users want on the reasonable basis of economical criteria, such as price. Books, CDs, and Personal Data Assistant(PDA)s are the products of which the specification is clear enough to be described on the Web. And the comparison of the products by the information service is performed on the basis of "price" of the product item. The approach to design and implement product information service can be divided into two categories. The one is an application of data warehousing mechanism, which stores the product information on the regular basis of time and provide it when the users query over the Web-database gateway. The other approach is a shopping agent mechanism, which stores information on "how to shop" and the shopping agent collects the information of product items just after users query about the product and provide the information in real time or notify them by alerting service. Thirty nine shopping information services are compared and classified in this paper and they are extracted from "Naver" and "Yahoo! Korea". The final result shows that most services are just a simple shopping mall information service in growing stage, product information services with data warehousing are lack in product ontology in middle stage, and that product information services with shopping agent are in early stage.

• Interdisciplinary Bio Central
• /
• v.3 no.2
• /
• pp.7.1-7.6
• /
• 2011

Background: Published manuscripts are the main source of biological knowledge. Since the manual examination is almost impossible due to the huge volume of literature data (approximately 19 million abstracts in PubMed), intelligent text mining systems are of great utility for knowledge discovery. However, most of current text mining tools have limited applicability because of i) providing abstract-based search rather than sentence-based search, ii) improper use or lack of ontology terms, iii) the design to be used for specific subjects, or iv) slow response time that hampers web services and real time applications. Results: We introduce an advanced text mining system called PubMine that supports intelligent knowledge discovery based on diverse bio-ontologies. PubMine improves query accuracy and flexibility with advanced search capabilities of fuzzy search, wildcard search, proximity search, range search, and the Boolean combinations. Furthermore, PubMine allows users to extract multi-dimensional relationships between genes, diseases, and chemical compounds by using OLAP (On-Line Analytical Processing) techniques. The HUGO gene symbols and the MeSH ontology for diseases, chemical compounds, and anatomy have been included in the current version of PubMine, which is freely available at http://pubmine.kobic.re.kr. Conclusions: PubMine is a unique bio-text mining system that provides flexible searches and analysis of biological entity relationships. We believe that PubMine would serve as a key bioinformatics utility due to its rapid response to enable web services for community and to the flexibility to accommodate general ontology.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.2
• /
• pp.159-164
• /
• 2017

Existing employment information system is the result of a number of lists list exists is difficult to determine at a glance when a user searches for a desired jobs. The service used for the strengthening and enhancement of job satisfaction, job seekers in the problems of the existing system, there is a need to improve measures for improving the quality of the environment. In this paper, we developed a system using a mashup Jobs feature that allows users to easily and conveniently search the various regions, the conditions specific jobs you want on the web map. In this paper, we collect the RSS of employment related information from many employment information providers, and we have a mashup function that makes it easy and convenient to search various regional and conditional job information desired by the user on the web map I have developed a job information system that I used.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.1
• /
• pp.185-195
• /
• 2015

During hospital peak times of outpatients, an effective mechanism that informs the newly receipted patient information to corresponding medical departments is lacking in current hospital reception systems. Since every department repeatedly searches entire patient reception database in sequential manner to acquire its reception information, this is a significant performance degradation factor in hospital information system. To improve hospital reception system efficiency, we developed two web socket based systems, a primary key transmitting batch system and a reception information transmitting real time system. The former reduced database access time compared to sequential search system as well as kept search time low regardless of receipted patient number. The latter effectively reduced waiting list updating time in request/response patient reception system by eliminating database access.

• The Journal of the Korea Contents Association
• /
• v.15 no.1
• /
• pp.9-23
• /
• 2015

In this paper, we propose a new RDF index scheme considering the characteristics of large scale RDF data to improve the query processing performance. The proposed index scheme creates a S-O index for subjects and objects since the subjects and objects of RDF triples are used redundantly. In order to reduce the total size of the index, it constructs a P index for the relatively small number of predicates in RDF triples separately. If a query contains the predicate, we first searches the P index since its size is relatively smaller compared to the S-O index. Otherwise, we first searches the S-O index. It is shown through performance evaluation that the proposed scheme outperforms the existing scheme in terms of the query processing time.

• Journal of Digital Convergence
• /
• v.15 no.11
• /
• pp.261-269
• /
• 2017

The purpose of this paper is to provide a search system using a method of accessing the web in real time without using a database server in order to guarantee the up-to-date information in a single network, rather than using a plurality of bots connected by a wide area network Design. The method of the research is to design and analyze the system which can search the person and keyword quickly and accurately in crepe system. In the crepe server, when the user registers information, the body tag matching conversion process stores all the information as it is, since various styles are applied to each user, such as a font, a font size, and a color. The crepe server does not cause a problem of body tag matching. However, when executing the crepe retrieval system, the style and characteristics of users can not be formalized. This problem can be solved by using the html_img_parser function and the Go language html parser package. By applying queues and multiple threads to a general-purpose web crawler, rather than a web crawler design that targets a specific site, it is possible to utilize a multiplier that quickly and efficiently searches and collects various web sites in various applications.

• Journal of KIISE:Software and Applications
• /
• v.36 no.9
• /
• pp.732-748
• /
• 2009

The technology of Semantic Web realizes the base technology for context-awareness that creates new services by dynamically and flexibly combining various resources (people, concepts, etc). According to the realization of ubiquitous computing technology, many researchers are currently working for the embodiment of web service. However, most studies of them bring about the only predefined results those are limited to the initial description by service designer. In this paper, we propose a new service supporting model to provide an automatic method for plan related tasks which achieve goal state from initial state. The inputs on an planner are intial and goal descriptions which are mapped to the current situation and to the user request respectively. The idea of the method is to infer context from world model by DL-based ontology reasoning using OWL domain ontology. The context guide services to be loaded into planner. Then, the planner searches and plans at least one service to satisfy the goal state from initial state. This is STRIPS-style backward planner, and combine OWL-S services based on AI planning theory that enabling reduced search scope of huge web-service space. Also, when feasible service do not find using pattern matching, we give user alternative services through DL-based semantic searching. The experimental result demonstrates a new possibility for realizing dynamic service modeler, compared to OWLS-XPlan, which has been known as an effective application for service composition.