Search results

1 – 10 of over 1000
To view the access options for this content please click here
Article
Publication date: 8 January 2014

Wen Lou and Junping Qiu

The paper aims to develop a new method for potential relations retrieval. It aims to find common aspects between co-occurrence analysis and ontology to build a model of…

Abstract

Purpose

The paper aims to develop a new method for potential relations retrieval. It aims to find common aspects between co-occurrence analysis and ontology to build a model of semantic information retrieval based on co-occurrence analysis.

Design/methodology/approach

This paper used a literature review, co-occurrence analysis, ontology build and other methods to design a model and process of semantic information retrieval based on co-occurrence analysis. Archaeological data from Wuhan University Library's bibliographic retrieval systems was used for experimental analysis.

Findings

The literature review found that semantic information retrieval research mainly concentrates on ontology-based query techniques, semantic annotation and semantic relation retrieval. Moreover most recent systems can only achieve obvious relations retrieval. Ontology and co-occurrence analysis have strong similarities in theoretical ideas, data types, expressions, and applications.

Research limitations/implications

The experiment data came from a Chinese university which perhaps limits its usefulness elsewhere.

Practical implications

This paper constructed a model to understand potential relations retrieval. An experiment proved the feasibility of co-occurrence analysis used in semantic information retrieval. Compared with traditional retrieval, semantic information retrieval based on co-occurrence analysis is more user-friendly.

Originality/value

This study is one of the first to combine co-occurrence analysis with semantic information retrieval to find detailed relationships.

Details

Online Information Review, vol. 38 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

To view the access options for this content please click here
Article
Publication date: 25 February 2014

Ma Feicheng and Li Yating

This paper aims to explore the characteristics of the co-occurrence network of online tags and propose new approaches of applying social network analysis by utilising…

Downloads
1183

Abstract

Purpose

This paper aims to explore the characteristics of the co-occurrence network of online tags and propose new approaches of applying social network analysis by utilising social tagging in order to organise data.

Design/methodology/approach

The authors collected online resources labelled “tag” from 7 November 2004 to 31 October 2011 from the CiteULike website, comprising 684 papers and their URLs, titles and data on tagging (users, times, and tags). They examined the co-occurrence network of online tags by using the analyses of social networks, including the analysis of coherence, the analysis of centricity and core to periphery categorical analysis.

Findings

Some features of the co-occurrence of online tags are as follows: the internet is subject to the “small world” phenomenon, as well as being “scale-free”. The structure of the internet reflects stable areas of core knowledge. In addition to five possible applications of social network analysis, social tagging has the greatest significance in organising online resources.

Originality/value

This research finds that co-occurrence of tags online is an effective way to organise and index data. Some suggestions are provided on the organisation of online resources.

Details

Online Information Review, vol. 38 no. 2
Type: Research Article
ISSN: 1468-4527

Keywords

To view the access options for this content please click here
Article
Publication date: 27 May 2014

Fan Yu, Junping Qiu and Wen Lou

This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery…

Downloads
7259

Abstract

Purpose

This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO).

Design/methodology/approach

The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capability of RO model.

Findings

RO not only revealed the deep-level semantic relationships of metadata of library resources but also realized totally computer-automated processing. RO improved the efficiency of knowledge organization and discovery.

Research limitations/implications

Semantic relationships revealed by RO are limited to simple metadata, which makes it difficult to reveal fine-grained semantic relationships. Ongoing research focuses on the revelation of semantic relationships based on the title and abstract.

Practical implications

The paper includes implications for utilizing methods of Informetrics to construct ontology.

Originality/value

This paper proposed a standardized process of ontology construction in library resources. It may be of potential interest for anyone who needs to effectively organize library resources.

Details

The Electronic Library, vol. 32 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

To view the access options for this content please click here
Article
Publication date: 15 August 2016

Jianwei Zhang, Seiya Tomonaga, Shinsuke Nakajima, Yoichi Inagaki and Reyn Nakamoto

Identifying important users from social media has recently attracted much attention in the information and knowledge management community. Although researchers have…

Abstract

Purpose

Identifying important users from social media has recently attracted much attention in the information and knowledge management community. Although researchers have focused on users’ knowledge levels on certain topics or influence degrees on other users in social networks, previous works have not studied users’ prediction ability on future popularity. This paper aims to propose a novel approach to find prophetic bloggers based on their buzzword prediction ability.

Design/methodology/approach

The main approach is to conduct a time-series analysis in the blogosphere considering four factors: post earliness, content similarity, entry frequency and buzzword coverage. Our method has four steps: categorizing a blogger into knowledgeable categories, identifying past buzzwords, analyzing a buzzword’s peak time content and growth period and, finally, evaluating a blogger’s prediction ability on a buzzword and on a category.

Findings

Experimental results on real-world blog data consisting of 150 million entries from 11 million bloggers demonstrate that the proposed approach can find prophetic bloggers and outperforms others that do not take temporal features into account.

Originality/value

To the best of the authors’ knowledge, our approach is the first successful attempt to identify prophetic bloggers. Finding prophetic bloggers can bring great values for two reasons. First, as prophetic bloggers tend to post creative and insightful information, analysis on their blog entries may help find future buzzword candidates. Second, communication with prophetic bloggers can help understand future trends, gain insight into early adopters’ thoughts on new technology or even foresee things that will become popular.

Details

International Journal of Web Information Systems, vol. 12 no. 3
Type: Research Article
ISSN: 1744-0084

Keywords

To view the access options for this content please click here
Article
Publication date: 6 March 2017

Mika Morishima, Tamaki Mitsuno and Koya Kishida

Many Japanese hay fever (HF) sufferers wear a hygienic face mask to prevent pollen inhalation, but most find it very uncomfortable. The purpose of this paper is to…

Abstract

Purpose

Many Japanese hay fever (HF) sufferers wear a hygienic face mask to prevent pollen inhalation, but most find it very uncomfortable. The purpose of this paper is to identify the problems associated with mask wearing through repeated surveys. This information can be used in the improved design of a hygienic face mask that can be worn without discomfort by HF sufferers.

Design/methodology/approach

In 2009 (n=1,519), 2012 (n=2,994), and 2015 (n=3,213), repeated surveys of university students were conducted. HF sufferers were queried regarding symptoms, countermeasures, and problems associated with wearing a hygienic face mask. Holistic perspectives for each year were obtained by a co-occurrence analysis of the aggregated data. The triplet co-occurrence of specific problems was compared among the surveys using the χ2 test. Temporary and contemporary co-occurrence relationships were also determined.

Findings

Most Japanese university students with HF wore a hygienic face mask. In each survey, the most common problems associated with mask use were related to its thermal, hygroscopic, and air-flow properties. Contemporary problems with co-occurrence relationships were “humidity,” “breathing difficulty,” and “mist over eyeglasses” for males and, “humidity,” “breathing difficulty,” and “make-up coming off” for females.

Originality/value

The results of this study will contribute to improving hygienic face mask design. The co-occurrence of contemporary problems related to mask use was identified by comparing the results obtained in each year. The thermal, hygroscopic, and air flow properties of the mask cause these problems, and the air gap between the mask and the wearer’s face influences the inherent physical properties of the mask. To measure the air gap, a suitable hydrostatic pressure-balanced experimental method was applied, and the data were demonstrated experimentally.

Details

International Journal of Clothing Science and Technology, vol. 29 no. 1
Type: Research Article
ISSN: 0955-6222

Keywords

To view the access options for this content please click here
Article
Publication date: 5 April 2011

Masahiro Ito, Kotaro Nakayama, Takahiro Hara and Shojiro Nishio

Recently, the importance and effectiveness of Wikipedia Mining has been shown in several researches. One popular research area on Wikipedia Mining focuses on semantic…

Abstract

Purpose

Recently, the importance and effectiveness of Wikipedia Mining has been shown in several researches. One popular research area on Wikipedia Mining focuses on semantic relatedness measurement, and research in this area has shown that Wikipedia can be used for semantic relatedness measurement. However, previous methods are facing two problems; accuracy and scalability. To solve these problems, the purpose of this paper is to propose an efficient semantic relatedness measurement method that leverages global statistical information of Wikipedia. Furthermore, a new test collection is constructed based on Wikipedia concepts for evaluating semantic relatedness measurement methods.

Design/methodology/approach

The authors' approach leverages global statistical information of the whole Wikipedia to compute semantic relatedness among concepts (disambiguated terms) by analyzing co‐occurrences of link pairs in all Wikipedia articles. In Wikipedia, an article represents a concept and a link to another article represents a semantic relation between these two concepts. Thus, the co‐occurrence of a link pair indicates the relatedness of a concept pair. Furthermore, the authors propose an integration method with tfidf as an improved method to additionally leverage local information in an article. Besides, for constructing a new test collection, the authors select a large number of concepts from Wikipedia. The relatedness of these concepts is judged by human test subjects.

Findings

An experiment was conducted for evaluating calculation cost and accuracy of each method. The experimental results show that the calculation cost of this approach is very low compared to one of the previous methods and more accurate than all previous methods for computing semantic relatedness.

Originality/value

This is the first proposal of co‐occurrence analysis of Wikipedia links for semantic relatedness measurement. The authors show that this approach is effective to measure semantic relatedness among concepts regarding calculation cost and accuracy. The findings may be useful to researchers who are interested in knowledge extraction, as well as ontology researches.

Details

International Journal of Web Information Systems, vol. 7 no. 1
Type: Research Article
ISSN: 1744-0084

Keywords

To view the access options for this content please click here
Article
Publication date: 14 November 2016

Rong Wang, Wenlin Liu and Shuyang Gao

The purpose of this paper is to conceptualize the use of Twitter hashtag as a strategy to enhance the visibility and symbolic power of social movement-related information…

Downloads
4260

Abstract

Purpose

The purpose of this paper is to conceptualize the use of Twitter hashtag as a strategy to enhance the visibility and symbolic power of social movement-related information. It examined how characteristics of hashtag drove information virality during a networked social movement.

Design/methodology/approach

Twitter data from two days during the Occupy Wall Street Movement in 2011 were collected. With network analysis, the authors identified popular hashtag types and examined hashtag co-occurrence patterns during the two contrasting movement days. It also provides a comparative analysis of how major types of viral hashtag may play different roles depending on different movement cycles.

Findings

The authors found that the role of hashtag influencing information virality may vary based on the context of the tweets. For example, movement participants applied more strategic hashtag combinations during the unexpected event day to reach different social circles. Consistent patterns were identified in mobilizing influential actors such as public figures. Different use patterns of media outlet hashtag were found across the two days.

Originality/value

Implications on how hashtag type and event dynamics may shape hashtag co-occurrence patterns were discussed.

Details

Online Information Review, vol. 40 no. 7
Type: Research Article
ISSN: 1468-4527

Keywords

To view the access options for this content please click here
Article
Publication date: 1 February 2016

Mehri Sedighi

– The purpose of this article is to investigate the use of word co-occurrence analysis method in mapping of the scientific fields with emphasis on the field of Informetrics.

Downloads
1385

Abstract

Purpose

The purpose of this article is to investigate the use of word co-occurrence analysis method in mapping of the scientific fields with emphasis on the field of Informetrics.

Design/methodology/approach

This is an applied study using scientometrics, co-word analysis and network analysis and its steps are summarised as follows: collecting the data related to the Informetrics field indexed in Web of Science (WOS) database, refining and standardising the keywords of the extracted articles from WOS and preparing a selected list of these keywords, drawing the word co-occurrence map in the Informetrics field and analysing of results.

Findings

Based on the resulted maps the concepts such as information science, library, bibliometric analysis, innovation and text mining are the most widely used topics in the field of Informetrics. The co-word occurrence maps drawn at different periods show the changes and stabilities in the concepts related to the field of Informetrics. A number of topics such as “bibliometric analysis” are present in all years, whereas others such as “innovation” have disappeared. New topics emerge as a recombination of existing topics and in interaction with new (technological) developments.

Originality/value

The results of these analytical studies can be used as a guide for determining research priorities in the scientific fields, and also for planning and management in academic institutions.

Details

Library Review, vol. 65 no. 1/2
Type: Research Article
ISSN: 0024-2535

Keywords

To view the access options for this content please click here
Article
Publication date: 20 August 2018

Yuki Yano, David Blandford, Atsushi Maruyama and Tetsuya Nakamura

The purpose of this paper is to investigate Japanese consumer perceptions of the benefits of consuming fresh leafy vegetables.

Abstract

Purpose

The purpose of this paper is to investigate Japanese consumer perceptions of the benefits of consuming fresh leafy vegetables.

Design/methodology/approach

An online bulletin board survey was conducted in Japan to collect responses to an open-ended question about reasons for consuming fresh leafy vegetables. A total of 897 responses were analysed using word co-occurrence network analysis. A community detection method and centrality measures were used to interpret the resulting network map.

Findings

Using a community detection algorithm, the authors identify six major groups of words that represent respondents’ core motives for consuming leafy vegetables. While Japanese consumers view health benefits to be most important, sensory factors, such as texture, colour, and palatability, and convenience factors also influence attitudes. The authors find that centrality measures can be useful in identifying keywords that appear in various contexts of consumer responses.

Originality/value

This is the first paper to use a quantitative text analysis to examine consumer perceptions for fresh leafy vegetables. The analysis also provides pointers for creating visually interpretable co-occurrence network maps from textual data and discusses the role of community structure and centrality in interpreting such maps.

Details

British Food Journal, vol. 120 no. 11
Type: Research Article
ISSN: 0007-070X

Keywords

To view the access options for this content please click here
Article
Publication date: 25 February 2014

Yusen Xu and Xiaofang Hua

With the development of economic globalization and the growth of cross-border technology flow, the internationalization of innovation has become an important strategy for…

Abstract

Purpose

With the development of economic globalization and the growth of cross-border technology flow, the internationalization of innovation has become an important strategy for enterprises in global competition for both investment optimization and technological advancement. The purpose of this paper is to reveal the research evolution in internationalization of innovation, investigate the hot spot transformation, and predict the future research trends.

Design/methodology/approach

The main research approaches in this study are literature co-citation analysis and keyword co-occurrence analysis. Co-citation is applied as a semantic similarity measure for related papers that makes use of citation relationships. Co-occurrence frequency analysis of keywords is also carried out to reveal the hot spots in research of internationalization of innovation. With the data downloaded from Web of Science, Citespace was used as a tool of scientometrics to visualize the node papers, knowledge mapping and keyword co-occurrence ranking in different stages of research evolution. The literature being analyzed in this study come from paper collection by searching the titles, abstracts and keywords, for terms that include “international innovation”, “international R&D”, “international technology”, “globalizational innovation”, “globalizational R&D”, “globalizational technology”, “multinational innovation”, “multinational R&D” and “multinational technology”.

Findings

The investigation reveals that there are two distinct stages in research evolution of the internationalization of innovation. The direction of innovation diffusion has turned from “one-way trickle down from developed countries” to “two-way interaction between developed countries and emerging countries”. Meanwhile, the research hotspots have been transformed since 2000 from “detail and operation-focused” to “profound and strategy-focused”.

Originality/value

The paper gives an insight into the internationalization of innovation field using literature from the Web of Science as an illustration.

Details

Journal of Science and Technology Policy Management, vol. 5 no. 1
Type: Research Article
ISSN: 2053-4620

Keywords

1 – 10 of over 1000