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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to analyze the significant factors which encourage and motivate the library and information science (LIS) academics to respond to and embrace e-learning (EL), to explore how EL tools and technologies support the LIS education process, and to measure weights of factors constraining the use of EL in LIS education. It also reports perceptions of how LIS academics manage EL-knowledge resources, the problems they face in managing those resources, the ways to solve those problems, and their predictions about future usage of EL in LIS education. Design/methodology/approach -The methodology includes a combination of quantitative and qualitative methods. The authors used an exploratory online e-mail interview method to gather experiences and data from LIS academics worldwide. The authors also used (www.docs.google.com) to prepare a questionnaire, and sent a link to the questionnaire to 85 LIS academics globally to gather their perceptions regarding EL in LIS schools. Findings -The findings confirmed that EL overcomes location and time constraints, provides opportunities for employed and/or busy people, etc. is a driving force in education, which encourages and motivates LIS academics to respond to and embrace EL in LIS education, and EL accelerates accessibility of a wide range of knowledge, supports the process of exchanging knowledge, and increases knowledge storage capacity to enhance the LIS education process. This paper concludes that the respondents hold highly positive perceptions regarding the future of EL in LIS schools. Originality/value -The paper explores the original perceptions of LIS academics, and their predictions regarding future usage of EL in LIS schools.

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This paper presents a novel TV event detection method for automatically generating TV program digests by using Twitter data. Previous studies of TV program digest generation based on Twitter data have developed TV event detection methods that analyze the frequency time series of tweets that users made while watching a given TV program; however, in most of the previous studies, differences in how Twitter is used, e.g., sharing information versus conversing, have not been taken into consideration. Since these different types of Twitter data are lumped together into one category, it is difficult to detect highlight scenes of TV programs and correctly extract their content from the Twitter data. Therefore, this paper presents a highlight scene detection method to automatically generate TV program digests for TV programs based on Twitter data classified by Twitter user behavior. To confirm the effectiveness of the proposed method, experiments using 49 soccer game TV programs were conducted.

Abstract. Electronic presentations are used in numerous scenarios, such as lectures and meetings. In recent years, the widespread use of electronic presentations means that presentation slide data is increasing as one of industry's most important information resources. Therefore, it is necessary to develop a practical usage method for the reutilisation of the data on slides. An approach to achieve this is to focus on visual structure information within a slide, because visual structure information is one of the most valuable, easy to understand methods for humans. However, since visual structure information is not explicitly defined in the slide data itself, computers have difficulty comprehending structure information directly. In this paper, we propose a method of extracting structure information from slide information. The proposed method is composed of two steps: organising objects within the slide as units, such as title, body text, figure and table, and structuring the units as a hierarchy tree based on a top-down approach.