• Journal of Internet Computing and Services
• /
• v.16 no.6
• /
• pp.79-88
• /
• 2015

The web search engines are exposed to the issue of uncertainty because of ambiguous queries, being input for retrieving the accurate results. Ambiguous queries constitute a significant fraction of such instances and pose real challenges to web search engines. Moreover, web search has created an interest for the researchers to deal with search by considering context in terms of location perspective. Our proposed disambiguation approach is designed to improve user experience by using context in terms of location relevance with the document relevance. The aim is that providing the user a comprehensive location perspective of a topic is informative than retrieving a result that only contains temporal or context information. The capacity to use this information in a location manner can be, from a user perspective, potentially useful for several tasks, including user query understanding or clustering based on location. In order to carry out the approach, we developed a Java based prototype to derive the contextual information from the web results based on the queries from the well-known datasets. Among those results, queries are further classified in order to perform search in a broad way. After the result provision to users and the selection made by them, feedback is recorded implicitly to improve the web search based on contextual information. The experiment results demonstrate the outstanding performance of our approach in terms of precision 75%, accuracy 73%; recall 81% and f-measure 78% when compared with generic temporal evaluation approach and furthermore achieved precision 86%, accuracy 71%; recall 67% and f-measure 75% when compared with web document clustering approach.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.7
• /
• pp.1643-1651
• /
• 2014

Social networking services (in short, SNS) allow users to share their own data with family, friends, and communities. Since there are many kinds of information that has been uploaded and shared through the SNS, the amount of information on the SNS keeps increasing exponentially. Particularly, Facebook has adopted some interesting features related to entertainment (e.g., movie, music and TV show). However, they do not consider contextual information of users for recommendation (e.g., time, location, and social contexts). Therefore, in this paper, we propose a novel approach for movie recommendation based on the integration of a variety contextual information (i.e., when the users watched the movies, where the users watched the movies, and who watched the movie with them). Thus, we developed a Facebook application (called MyMovieHistory) for recording the movie history of users and recommending relevant movies.

• Smart Media Journal
• /
• v.10 no.4
• /
• pp.63-70
• /
• 2021

Public Signs guiding drivers on the road should help make decisions within a short period of time, so appropriate information should be effectively expressed at the point. Currently, the road marking rules revised by the law show a significant change in the type of information, expression method, and weight of expression compared to existing road signs to be based on road name addresses. This study analyzed whether the revised road signs changed based on the road name were effective in perspective of perception-cognition-understanding-projection and examined whether they provided appropriate information for the actual driving environment. Based on the analyzed information, an experiment was conducted to present an improved design, evaluate the degree of visibility compared to existing road name-oriented signs, and a qualitative investigation was conducted on the suitability of the sign contents. Through this, it is expected that more suitable driving information and measures to increase intuitive visibility can be reviewed.

• Management & Information Systems Review
• /
• v.28 no.4
• /
• pp.199-228
• /
• 2009

SISP(strategic information system planning) is an important part of IS management. Through it, organizations establish effective long-term use of IS and ensure their support of organizational objectives. This entails establishing priorities for implementation of new applications, developing policies and procedures for managing the IS function and IS services, and construction of information architecture. Many studies have tried to improve SISP practice by discussing planning problems, identifying factors critical to the success of planning efforts, and providing methodologies for carrying out the process. Others tested the appropriateness of formal SISP under varying contextual circumstances and examined a number of contextual variables for their effects on SISP practice and its effectiveness. In this paper, the two criteria(the improvement of planning capabilities and the fulfillment of planning objectives) of successful SISP will be given and the relationship between organizational variable(IS-present role, IS-future role, formalization, time horizon) and improvement of planning capabilities will be analyzed. And then the relationship between improvement of planning capabilities and fulfillment of planning objectives will be examined. Specific description about the purpose of this study is as follow: (1) What are the determinants of successful SISP? (2) Which contextual factors are important and how strong are their influences to the improvement of planning capabilities? (3) How important is the improvement of planning capabilities to the fulfillment of planning objectives?

• Information and Communications Magazine
• /
• v.29 no.7
• /
• pp.56-61
• /
• 2012

UX 디자인을 하는데 있어서 제품이나 서비스를 대하는 사용자의 컨텍스트(Context)를 파악하는 것은 매우 중요한 일이다. 다양한 사용자 리서치 방법들 가운데 사용자의 컨텍스트를 파악하기 위한 방법으로는 Contextual Inquiry, 사용자 관찰, Cultural Probes, Contextmapping등이 있는데, 사용자의 컨텍스트는 매우 역동적이고 상황에 따라 다양하게 표현될 수 있으므로 이러한 방법들을 적절하게 조합하여 사용하는 것 이 필요하다. 이렇게 파악된 사용자의 행동패턴과 컨텍스트 요소를 반영하여 UX모델을 만드는데, 사용자의 목표와 사용행태를 기술하는 퍼소나(Persona)가 대표적인 방법이다, 또한 퍼소나를 기반으로 제품이나 서비스에 대한 아이디어와 디자인을 이끌어 내는데 활용하는 '사용자 시나리오(User Scenario)'는 미래의 혁신적인 사용자 경험을 제안하기 위한 유용한 방법이다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.11b
• /
• pp.748-750
• /
• 2005

본 논문에서는 능동적인 상호협력으로 목적에 맞는 서비스를 제공하는 컴퓨팅 환경에서 가장 중요한 역할을 하게 될 문맥(Context)을 중점적으로 설명한다. 문맥은 정보를 주고받는 기본 단위가 될 것이며 이를 위한 표준이 갖추어야 할 요구사항과 이것을 수용할 수 있는 기술적 토대(XML, XML Schema, RDF, Ontology Language)를 소개 한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10b
• /
• pp.355-357
• /
• 2003

본 응용에 새로운 기술이 적용되면서 그 구조가 더욱 복잡해져 사용자가 웹 응용을 사용할 때 자주 혼동을 느낀다. 따라서 사용자가 웹 응용 컨텐츠와 서비스에 효과적으로 접근할 수 있게 하기 위한 항해 설계를 위한 모델이 필요하다. 본 논문에서는 문맥 지표를 사용한 웹 응용의 항해를 UML을 사용하여 모델링하는 방법을 제안한다 본 방법은 웹 응용 구성 요소의 추상화 정도에 따라 다른 항해 모델을 지원하며 모델들 사이의 연결성을 제공하므로 웹 응용 개발에 적용이 용이하다.

• Journal of KIISE:Software and Applications
• /
• v.30 no.1_2
• /
• pp.81-92
• /
• 2003

Generalized LR parsing is one of the enhanced LR parsing methods so that it overcome the limit of one-way linear stack of the traditional LR parser using graph-structured stack, and it has been playing an important role of a firm starting point to generate other variations for NL parsing equipped with various mechanisms. In this paper, we propose a conditional Action Model that can solve the problems of conventional probabilistic GLR methods. Previous probabilistic GLR parsers have used relatively limited contextual information for disambiguation due to the high complexity of internal GLR stack. Our proposed model uses Surface Phrasal Types representing the structural characteristics of the parse for its additional contextual information, so that more specified structural preferences can be reflected into the parser. Experimental results show that our GLR parser with the proposed Conditional Action Model outperforms the previous methods by about 6-7% without any lexical information, and our model can utilize the rich stack information for syntactic disambiguation of probabilistic LR parser.

• Journal of Intelligence and Information Systems
• /
• v.13 no.4
• /
• pp.45-63
• /
• 2007

Recently as ubiquitous environment comes to the fore, information density is raised and enterprise is being able to capture and utilize customer-related information at the same time when the customer purchases a product. In this environment, a need for the recommender systems which can deliver proper information to the customer at the right time and right situation is highly increased. Therefore, the research on recommender systems continued actively in a variety of fields. Until now, most of recommender systems deal with item recommendation. However, in the market in ubiquitous environment where the same item can be purchased at several stores, it is highly desirable to recommend store to the customer based on his/her contextual situation and preference such as store location, store atmosphere, product quality and price, etc. In this line of research, we proposed the store recommender system using customer's contextual situation and preference in the market in ubiquitous environment. This system is based on collaborative filtering and Apriori algorithms. It will be able to provide customer-centric service to the customer, enhance shopping experiences and contribute in revitalizing market in the long term.

• The KIPS Transactions:PartD
• /
• v.15D no.5
• /
• pp.599-608
• /
• 2008

Advanced wireless network and sensor technologies are capable of collecting information such as temperature, humidity, weight, and location about objects at real time in logistics area. Besides, users want to be notified of contextual information about interest of objects whenever they want it and wherever they want it. To satisfy these requirements, applications should collect and analyze contextual information at real time, and must support a service that can notify it to wanted users. Event-based service is one of the way to satisfy these requirement of users. In this paper, we design an event notification system focused on location- and RFID-based logistics area. To do this, we present XML-based event expression model, ECA-based profile definition model, and an algorithm that has high scalability by distinguishing event filtering in two steps. Based on these designs, our implemented system can apply to not only logistics area but also intelligent traffic control system based on RFID or GPS devices.