GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • 2020-2024  (3)
  • General works  (3)
  • AN 10100  (3)
Material
Publisher
Person/Organisation
Language
Years
  • 2020-2024  (3)
Year
FID
Subjects(RVK)
  • General works  (3)
RVK
  • AN 10100  (3)
  • 1
    Online Resource
    Online Resource
    Evaluating Digital Divide Based on Big Wireless Logs: A Case Study among Remote Tribes in Taiwan
    Walter de Gruyter GmbH ; 2022
    In:  Libri Vol. 72, No. 2 ( 2022-06-27), p. 183-198
    Details
    In: Libri, Walter de Gruyter GmbH, Vol. 72, No. 2 ( 2022-06-27), p. 183-198
    Abstract: This research attempts to explore digital divide among tribes in Taiwan and to reveal relevant important tribal contextual features. Firstly, we collect residents’ connection event logs from the free wireless Internet, i-Tribe. Those connect behaviors are quantified as average of daily connection frequency, daily connection time, daily data transmission, inter-login time, Internet speed, and connection quality which are corresponding to evaluate how often, how long, how much, how active, how fast and the effectiveness of the information and communication technology (ICT) accessibility of tribes. Then the tribes are grouped into tribal clusters optimally by a rank aggregation algorithm and are asked if there are significant differences among them by three stages of hypothesis testing. After the phenomenon of digital divide is confirmed, some important contextual features, longitude, female dependency ratio, network environment level, economic service level, and policy cooperation level, are identified using the ordinal regression model (ORM).
    Type of Medium: Online Resource
    ISSN: 0024-2667 , 1865-8423
    URL: Article
    DOI: 10.1515/libri-2021-0114
    RVK:
    AN 10100
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2066691-3
    detail.hit.zdb_id: 3374-1
    SSG: 24,1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    A cross-platform recommendation system from Facebook to Instagram
    Emerald ; 2023
    In:  The Electronic Library Vol. 41, No. 2/3 ( 2023-05-24), p. 264-285
    Details
    In: The Electronic Library, Emerald, Vol. 41, No. 2/3 ( 2023-05-24), p. 264-285
    Abstract: The purpose of this paper is to provide a cross-platform recommendation system that recommends the most suitable public Instagram accounts to Facebook users. Design/methodology/approach We collect data from both Facebook and Instagram and then propose a similarity matching mechanism for recommending the most appropriate Instagram accounts to Facebook users. By removing the data disparity between the two heterogeneous platforms and integrating them, the system is able to make more accurate recommendations. Findings The results show that the method proposed in this paper can recommend suitable public Instagram accounts to Facebook users with very high accuracy. Originality/value To the best of the authors’ knowledge, this is the first study to propose a recommender system to recommend Instagram public accounts to Facebook users. Second, our proposed method can integrate heterogeneous data from two different platforms to generate collaborative recommendations. Furthermore, our cross-platform system reveals an innovative concept of how multiple platforms can promote their respective platforms in a unified, cooperative and collaborative manner.
    Type of Medium: Online Resource
    ISSN: 0264-0473 , 0264-0473
    URL: Article
    DOI: 10.1108/EL-09-2022-0210
    RVK:
    AN 10100
    Language: English
    Publisher: Emerald
    Publication Date: 2023
    detail.hit.zdb_id: 790046-6
    detail.hit.zdb_id: 1500250-0
    SSG: 24,1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    Development and application of a digital humanities research platform for biographies of Malaysian personalities
    Emerald ; 2022
    In:  The Electronic Library Vol. 40, No. 4 ( 2022-08-08), p. 313-337
    Details
    In: The Electronic Library, Emerald, Vol. 40, No. 4 ( 2022-08-08), p. 313-337
    Abstract: Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools. Design/methodology/approach The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities . Findings Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context. Originality/value At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.
    Type of Medium: Online Resource
    ISSN: 0264-0473 , 0264-0473
    URL: Article
    DOI: 10.1108/EL-01-2022-0007
    RVK:
    AN 10100
    Language: English
    Publisher: Emerald
    Publication Date: 2022
    detail.hit.zdb_id: 1500250-0
    SSG: 24,1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...