• Journal of KIISE:Software and Applications
• /
• v.35 no.7
• /
• pp.405-416
• /
• 2008

To overcome the limitation of keyword-based integrated search, this study shows entity-centric integrated search method using URI scheme. Our system generates entity pages in ways of analyzing user's keyword and instances matched with it, selecting optimal entity type, and calling unit services simultaneously. Topic information extracted from articles is propagated to persons, institutions, and locations by reasoning for providing topic-centric information. With comparative experiments based on search results and usability tests, we proved that this approach is superior to keyword-based integrated search served by CiteSeer and Google Scholar.

• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.4
• /
• pp.45-56
• /
• 2018

The paper aims to examine relationships between search-based sentiment and stock market reactions in Vietnam. This study constructs an internet search-based measure of sentiment and examines its relationship with Vietnamese stock market returns. The sentiment index is derived from Google Trends' Search Volume Index of financial and economic terms that Vietnamese searched from January 2011 to June 2018. Consistent with prediction from sentiment theories, the study documents significant short-term reversals across three major stock indices. The difference from previous literature is that Vietnam stock market absorbs the contemporaneous decline slower while the subsequent rebound happens within a day. The results of the study suggest that the sentiment-induced effect is mainly driven by pessimism. On the other hand, optimistic investors seem to delay in taking their investment action until the market corrects. The study proposes a unified explanation for our findings based on the overreaction hypothesis of the bearish group and the strategic delay of the optimistic group. The findings of the study contribute to the behavioral finance strand that studies the role of sentiment in emerging financial markets, where noise traders and limits to arbitrage are more obvious. They also encourage the continuous application of search data to explore other investor behaviors in securities markets.

• Journal of the Korean Society for information Management
• /
• v.29 no.1
• /
• pp.175-190
• /
• 2012

This study aims to investigate the current status of mobile search functions of Korean search portals, namely Google Korea, Naver, Nate, Daum, and Yahoo Korea. This study focuses on unique mobile search functionalities, such as voice search, music search, code search, and visual/ object search. In particular, this study analyzed characteristics of these search functions and evaluated their performances based on the accuracy and the speed of recognition. The results of this study show that both Naver and Daum support various mobile searching functions, whereas Google only supports voice search. Nate and Yahoo do not offer any unique function. The results of this study can be applied to the portal's effective development of mobile search functionalities.

• Journal of the Korean Society for information Management
• /
• v.31 no.2
• /
• pp.7-40
• /
• 2014

This study proposes to identify digital library services applying cutting-edge technologies, and attempt to investigate the applicability of these technologies and services to domestic libraries. To this end, we reviewed main research which discusses next generation digital libraries, and examined thoroughly main technologies which can be applied to future libraries. As a result, the core technologies, concepts, and tools of the next generation of digital library are: cloud services, space for infinite creating (makerspace), big data, augmented reality, context-aware technologies, Google-glass, a revolutionary display technology, open linked-content-offering method, and so on. Specific cases of libraries already utilizing these technologies are also discussed.

• Journal of Information Science Theory and Practice
• /
• v.5 no.4
• /
• pp.6-25
• /
• 2017

In this paper, a large-scale study on users' understanding of search-based advertising is presented. It is based on (1) a survey, (2) a task-based user study, and (3) an online experiment. Data were collected from 1,000 users representative of the German online population. Findings show that users generally lack an understanding of Google's business model and the workings of search-based advertising. 42% of users self-report that they either do not know that it is possible to pay Google for preferred listings for one's company on the SERPs or do not know how to distinguish between organic results and ads. In the task-based user study, we found that only 1.3 percent of participants were able to mark all areas correctly. 9.6 percent had all their identifications correct but did not mark all results they were required to mark. For none of the screenshots given were more than 35% of users able to mark all areas correctly. In the experiment, we found that users who are not able to distinguish between the two results types choose ads around twice as often as users who can recognize the ads. The implications are that models of search engine advertising and of information seeking need to be amended, and that there is a severe need for regulating search-based advertising.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.18 no.3
• /
• pp.102-112
• /
• 2015

In this paper we propose an application that can help you to find a school near you easily using smart phone GPS capabilities and Google map mounted on Android system. We use a shortest path algorithm to search near destinations. You can take advantage of the developed application when finding public places or destinations. Schools have usually been used as places for disaster evacuation, entrance examination, and qualifying examination. Even though you are not the young who use the smart phone easily, anyone can find a destination school easily with the proposed application of this paper.

• Journal of the Korea Computer Graphics Society
• /
• v.22 no.5
• /
• pp.49-56
• /
• 2016

Mobile Virtual Reality Head Mount Displays such as Google Cardboard and Samsung Gear VR are being released, as well as PC-based VR HMDs such as Oculus Rift and HTC Vive. However, when the user wears HMD, it hides the external view of the user. Therefore, it may happen that the user is struck by the surrounding objects such as furniture, and there is no definite solution to this problem. In this paper, we propose a method to reduce the risk of injuries by visualizing the location and information of obstacles scanned by using a RGB-D camera.

• ETRI Journal
• /
• v.42 no.2
• /
• pp.247-257
• /
• 2020

Spatial experiences in route finding, such as the ability of finding low-traffic routes, exert a significant influence on travel time in big cities; therefore, the spatial experiences of seasoned individuals such as taxi drivers in route finding can be useful for improving route-finding algorithms and preventing using routes having considerable traffic. In this regard, a spatial experience-based route-finding algorithm is introduced through ontology in this paper. To this end, different methods of modeling experiences are investigated. Then, a modeling method is chosen for modeling the experiences of drivers for route finding depending on the advantages of ontology, and an ontology based on the taxi drivers' experiences is proposed. This ontology is employed to create an ontology-based route-finding algorithm. The results are compared with those of Google maps in terms of route length and travel time at peak traffic time. According to the results, although the route lengths of route-finding method based on the ontology of drivers' experiences in three cases (from nine cases) are greater than that based on Google maps, the travel times are shorter in most cases, and in some routes, the difference in travel time reaches only 10 minutes.

• International Journal of Advanced Culture Technology
• /
• v.7 no.4
• /
• pp.194-207
• /
• 2019

This paper is the author's personal experience and interpretation as a student whilst participating in Professor Kyung-Sook Shin's English Literature graduate course, "Literature and Technology II: Feminisms and Digital Humanities," during the 2019 spring semester at Yonsei University, South Korea. Exploring the intersections of literary feminist theory and digital humanities, this paper examines not only the content, but also the methodology and political effects of collaboratively digitally annotating Elizabeth Barrett Browning's epic novel/poem, Aurora Leigh (1856) through the medium, Google Docs. In particular, this paper observes the students' interaction with the digital tools and literature-related pedagogy in two main parts. First, the democratic political nature of classroom culture when creating a new language/code during annotation. Second, the coexistence of cyberspace and the physical classroom space and its effect on time, specifically in the archival of the past, influencing of the future, and the splitting into the present multiverse. From a student's perspective in digital literary annotation, this paper shows that technology could become a way to decolonize and reprogram education to be more inclusive and collaborative.

• International Journal of Internet, Broadcasting and Communication
• /
• v.10 no.3
• /
• pp.42-50
• /
• 2018

The majority of existing falling recognition techniques provide service by recognizing only that the falling occurred. However, it is important to recognize not only the occurrence of falling but also the situation before and after the falling, as well as the location of the falling. In this paper, we design and propose the falling notification service system to recognize and provide service. This system uses the acceleration sensor of the smartphone to recognize the occurrence of a falling and the situation before and after the falling. In order to check the location of falling, GPS sensor data is used in the Google Map API to map to the map. Also, a crosswalk map converted into grid-based coordinates based on the longitude and latitude of the crosswalk is stored, and the locations before and after falling are mapped. In order to reduce the connection speed and server overload for real-time data processing, fog computing and cloud computing are designed to be distributed processing.