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Article
Publication date: 10 August 2010

Baozhen Lee and Shilun Ge

The purpose of this paper is to analyse the personalised and social characteristics of open knowledge management in higher education based on social tagging in the Web 2.0…

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Abstract

Purpose

The purpose of this paper is to analyse the personalised and social characteristics of open knowledge management in higher education based on social tagging in the Web 2.0 environment.

Design/methodology/approach

Through the function of annotation in social tagging, the paper analyses its personalised characteristics of recognising the preferences of participants, and its personalised‐social characteristics of enriching content from all kinds of aspects; through the function of association of social tagging, it analyses its social characteristics of social networking, and its social‐personalised characteristics of collaborative acquisition or recommendation.

Findings

In the process of online information and open knowledge organisation and acquisition based on the annotation function of social tagging in the Web 2.0 environment, the personalised participation of individuals will lead to social results for everyone; however, in the process of online information and open knowledge creation and sharing based on the association function of social tagging, social and collaborative sharing among participants will help with personalised knowledge allocation.

Originality/value

In open knowledge management in higher education, the characteristics of personalisation and sociability based on social tagging will help to personalise the organisation and acquisition of knowledge, and help with social creation and sharing of knowledge.

Details

Online Information Review, vol. 34 no. 4
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 11 June 2019

Yawei Xu, Lihong Dong, Haidou Wang, Yuelan Di, Xiaozhu Xie, Peng Wang and Miao Zhang

Crack sensor based on RFID tag has become a research hotspot in the field of metal structural health monitoring for its significant benefit of passive wireless…

Abstract

Purpose

Crack sensor based on RFID tag has become a research hotspot in the field of metal structural health monitoring for its significant benefit of passive wireless transmission. While in practice, crack location will impact the performance of crack depth-sensing tag. The purpose of this paper is to provide a method for reducing disturbance of crack location on crack depth-sensing tag.

Design/methodology/approach

The effect analysis of crack location on crack depth-sensing tag is presented first to find disturbance reason and disturbance law. On the basis of that, a miniaturized tag is proposed to improve the current distribution and reduce the disturbance introduced by crack location.

Findings

The degree of crack location disturbance is closely related to the current distribution in the coverage area of tag. Because sensing tag performs better when crack locates in the high current density area, miniaturization of sensing tag is exploited to expand the high current density area and make the area more symmetrical. The simulated and experimental results demonstrate that tag miniaturization can enhance the performance of crack depth-sensing tag.

Originality/value

This paper provides a method to enhance the performance of crack depth-sensing tag.

Details

Sensor Review, vol. 39 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 1 June 2004

Dariush Alimohammadi

Digital information retrieval has been as a problem, and at the same time a research interest for information scientists in recent years. They have planned some solutions…

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486

Abstract

Digital information retrieval has been as a problem, and at the same time a research interest for information scientists in recent years. They have planned some solutions to solve problems manifested during the 1990s. Designing meta‐tags and applying them to HTML documents was a remedy in this direction. Meta‐tags can help authors, publishers and indexers of Web pages to analyze intended content more precisely and efficiently. The aim of the present survey is to measure meta‐tags of the Iranian Web sites in accordance with an international criterion. To carry out the research, 346 Iranian Web sites were selected among 3,342, which represented a sample of all Web sites existed in Iranhoo, an Iranian Web directory. The source codes of the sample home pages were reviewed in terms of the presence of keywords and description meta‐tags. The findings of the survey showed that 31.5 percent and 24.6 percent of the Iranian Web sites have keywords and description meta‐tags respectively. The paper concludes that the Iranian Web sites are lower than non‐Iranian Web sites in terms of the use of meta‐tags.

Details

Online Information Review, vol. 28 no. 3
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 25 May 2012

Marija Petek

Images can be seen in a different way by different users. The purpose of this paper is to examine how users describe images and to ascertain whether differences exist…

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1764

Abstract

Purpose

Images can be seen in a different way by different users. The purpose of this paper is to examine how users describe images and to ascertain whether differences exist between users and librarians in creating metadata on images.

Design/methodology/approach

The paper compares metadata on digital images generated by users to metadata generated by librarians. A sample of images taken from Digital Library of Slovenia and Flickr is presented to students to assign tags. The tags are grouped into categories and classes of attributes and compared to keywords added by Slovene librarians and to tags created by Flickr visitors.

Findings

The number of assigned tags differs greatly among survey participants, librarians and Flickr users, the participants being the most productive. A majority of tags reflect perceptual attributes and tagging is mostly done for personal benefit. The matching rate for all images is 41.4 percent; matching is a little higher with the Flickr images.

Practical implications

Social tagging can be used to develop control vocabularies reflecting users' language and to provide access to digital images.

Originality/value

The paper presents quantitative data on image attributes used by users in describing images.

Details

OCLC Systems & Services: International digital library perspectives, vol. 28 no. 2
Type: Research Article
ISSN: 1065-075X

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Article
Publication date: 1 December 1996

Jack Hollingum

Explains how radio frequency tagging has established itself in Australia and the USA, where 915MHz is acceptable for this purpose and pulsed power allows read distances of…

Abstract

Explains how radio frequency tagging has established itself in Australia and the USA, where 915MHz is acceptable for this purpose and pulsed power allows read distances of 7m or more to be achieved with a passive (no batteries) tag. Points out that in Europe there is no one acceptable frequency available in every country, so a pioneer Australian company has adopted 458MHz for UK use and 433MHz for Germany and some other countries. Describes some of the successful applications so far and points to future possibilities including monitoring of BSE in cattle.

Details

Sensor Review, vol. 16 no. 4
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 15 October 2021

Kangqu Zhou, Chen Yang, Lvcheng Li, Cong Miao, Lijun Song, Peng Jiang and Jiafu Su

This paper proposes a recommendation method that mines the semantic relationship between resources and combine it with collaborative filtering (CF) algorithm for…

Abstract

Purpose

This paper proposes a recommendation method that mines the semantic relationship between resources and combine it with collaborative filtering (CF) algorithm for crowdsourcing knowledge-sharing communities.

Design/methodology/approach

First, structured tag trees are constructed based on tag co-occurrence to overcome the tags' lack of semantic structure. Then, the semantic similarity between tags is determined based on tag co-occurrence and the tag-tree structure, and the semantic similarity between resources is calculated based on the semantic similarity of the tags. Finally, the user-resource evaluation matrix is filled based on the resource semantic similarity, and the user-based CF is used to predict the user's evaluation of the resources.

Findings

Folksonomy is a knowledge classification method that is suitable for crowdsourcing knowledge-sharing communities. The semantic similarity between resources can be obtained according to the tags in the folksonomy system, which can be used to alleviate the data sparsity and cold-start problems of CF. Experimental results show that compared with other algorithms, the algorithm in this paper performs better in mean absolute error (MAE) and F1, which indicates that the proposed algorithm yields better performance.

Originality/value

The proposed folksonomy-based CF method can help users in crowdsourcing knowledge-sharing communities to better find the resources they need.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 16 September 2021

Peng Wang, Lihong Dong, Haidou Wang, Guolu Li, Yuelan Di, Xiangyu Xie and Dong Huang

The skin and skeleton of aircraft are connected by adhesives or rivets to bear and transfer aerodynamic load. It is easy for crack and fracture damage to occur under the…

Abstract

Purpose

The skin and skeleton of aircraft are connected by adhesives or rivets to bear and transfer aerodynamic load. It is easy for crack and fracture damage to occur under the action of cyclic load, thus reducing aircraft bearing capacity/integrity and causing serious security risks. Therefore, it is particularly important that passive wireless radio frequency identification (RFID) sensors be used for the health monitoring of aircraft skin in its whole life cycle. This paper aims to investigate the influence of miniaturization on the coupling effect between RFID tag sensors.

Design/methodology/approach

Two groups of crack sensing systems based on RFID tags were designed. Gain and mutual impedance of sensor tags were analyzed via mode analysis. The reliability of crack detection of both sensing systems was compared using a preset experimental scheme.

Findings

Miniaturized antennas can reduce edge influence and the coupling effect. Gain and mutual impedance decrease with the increase in distance between dual tags. Backscatter power shows a decreasing trend and threshold power to activate tags in reader antenna increases. Results show that the miniaturization of size is more suitable for the application of multiple sensors.

Originality/value

By comparing two groups of sensing systems, the consistency of crack detection sensitivity is better when small tags are placed in parallel, which provides a theoretical basis for the application of small, passive and densely distributed crack sensors in the future.

Details

Sensor Review, vol. 41 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 26 July 2021

Zekun Yang and Zhijie Lin

Tags help promote customer engagement on video-sharing platforms. Video tag recommender systems are artificial intelligence-enabled frameworks that strive for recommending…

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113

Abstract

Purpose

Tags help promote customer engagement on video-sharing platforms. Video tag recommender systems are artificial intelligence-enabled frameworks that strive for recommending precise tags for videos. Extant video tag recommender systems are uninterpretable, which leads to distrust of the recommendation outcome, hesitation in tag adoption and difficulty in the system debugging process. This study aims at constructing an interpretable and novel video tag recommender system to assist video-sharing platform users in tagging their newly uploaded videos.

Design/methodology/approach

The proposed interpretable video tag recommender system is a multimedia deep learning framework composed of convolutional neural networks (CNNs), which receives texts and images as inputs. The interpretability of the proposed system is realized through layer-wise relevance propagation.

Findings

The case study and user study demonstrate that the proposed interpretable multimedia CNN model could effectively explain its recommended tag to users by highlighting keywords and key patches that contribute the most to the recommended tag. Moreover, the proposed model achieves an improved recommendation performance by outperforming state-of-the-art models.

Practical implications

The interpretability of the proposed recommender system makes its decision process more transparent, builds users’ trust in the recommender systems and prompts users to adopt the recommended tags. Through labeling videos with human-understandable and accurate tags, the exposure of videos to their target audiences would increase, which enhances information technology (IT) adoption, customer engagement, value co-creation and precision marketing on the video-sharing platform.

Originality/value

The proposed model is not only the first explainable video tag recommender system but also the first explainable multimedia tag recommender system to the best of our knowledge.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 30 July 2021

Tanvi Garg, Navid Kagalwalla, Shubha Puthran, Prathamesh Churi and Ambika Pawar

This paper aims to design a secure and seamless system that ensures quick sharing of health-care data to improve the privacy of sensitive health-care data, the efficiency…

Abstract

Purpose

This paper aims to design a secure and seamless system that ensures quick sharing of health-care data to improve the privacy of sensitive health-care data, the efficiency of health-care infrastructure, effective treatment given to patients and encourage the development of new health-care technologies by researchers. These objectives are achieved through the proposed system, a “privacy-aware data tagging system using role-based access control for health-care data.”

Design/methodology/approach

Health-care data must be stored and shared in such a manner that the privacy of the patient is maintained. The method proposed, uses data tags to classify health-care data into various color codes which signify the sensitivity of data. It makes use of the ARX tool to anonymize raw health-care data and uses role-based access control as a means of ensuring only authenticated persons can access the data.

Findings

The system integrates the tagging and anonymizing of health-care data coupled with robust access control policies into one architecture. The paper discusses the proposed architecture, describes the algorithm used to tag health-care data, analyzes the metrics of the anonymized data against various attacks and devises a mathematical model for role-based access control.

Originality/value

The paper integrates three disparate topics – data tagging, anonymization and role-based access policies into one seamless architecture. Codifying health-care data into different tags based on International Classification of Diseases 10th Revision (ICD-10) codes and applying varying levels of anonymization for each data tag along with role-based access policies is unique to the system and also ensures the usability of data for research.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

Keywords

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Book part
Publication date: 24 November 2010

Wolfgang G. Stock, Isabella Peters and Katrin Weller

Through a theoretical review of the literature, this chapter assesses the potential of different knowledge organisation systems (KOS) to support corporate knowledge…

Abstract

Through a theoretical review of the literature, this chapter assesses the potential of different knowledge organisation systems (KOS) to support corporate knowledge management systems (KMS), namely digital libraries (DL) in companies and other institutions. Questions are framed through which the chapter discusses how classical KOS, such as nomenclatures, classification systems, thesauri and ontologies, are able to reflect explicit knowledge in sense of the Semantic Web and also introduces persons as documents along with folksonomies as a means for externalising implicit knowledge in sense of the Web 2.0.

Details

Advances in Librarianship
Type: Book
ISBN: 978-1-84950-979-4

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