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Journal Cover Journal of Information Science
   [801 followers]  Follow    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
     ISSN (Print) 0165-5515 - ISSN (Online) 1741-6485
     Published by Sage Publications Homepage  [753 journals]   [SJR: 1.199]   [H-I: 35]
  • On the evaluation of thesaurus tools compatible with the Semantic Web
    • Authors: Martinez-Gonzalez, M. M; Alvite-Diez, M.-L.
      Pages: 711 - 722
      Abstract: Thesauri are valuable knowledge organization systems (KOSs) that support advanced information retrieval. The Semantic Web has brought a renewed interest in thesauri as a support for semantic searches and other added-value services. Tools that manage thesauri permit them to be created, edited and queried. The integrity restrictions on thesauri should also be controlled by these tools. However, there is also the possibility of thesaurus exchange, which becomes relevant in the Semantic Web context, where information exchange is a crucial facility. In fact, interoperability at the information level has received an important boost with the stabilization of the SKOS standard as a World Wide Web Consortium (W3C) Recommendation. Furthermore, the feasibility of integrating software is a valuable feature for software developers. An evaluation framework for thesaurus tools is proposed, which includes the issues of functionalities, construct support, integrity, information interoperability and feasibility of integrating software. It is original in focusing on Semantic Web conformity and interoperability.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514545603|hwp:master-id:spjis;0165551514545603
      Issue No: Vol. 40, No. 6 (2014)
       
  • S2R&R2S: A framework for ranking vertex and computing vertex-pair
           similarity simultaneously
    • Authors: Li, L; Ma, M, Lei, P, Leng, M, Chen, X.
      Pages: 723 - 735
      Abstract: With the popularity of information networks and their wide range of applications, two fundamental operations in information network analysis, ranking vertices and computing similarity between vertices, are attracting growing interest among researchers. However, the existing studies about the two operations have been carried out independently and the relation between them has been ignored. In fact, there is a definite relationship between the vertex rank and vertex-pair similarity. In this paper, we propose a novel framework, S2R&R2S, to rank vertices and compute vertex-pair similarity simultaneously. The framework is composed of two methods: S2R and R2S. The S2R method ranks vertices with the help of vertex-pair similarity, and the R2S method computes vertex-pair similarity combining the network structure and the rank scores of vertices. In the proposed framework, S2R and R2S are performed iteratively. The experimental results demonstrate the effectiveness of the proposed approach in both vertex rank and similarity computation.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514542902|hwp:master-id:spjis;0165551514542902
      Issue No: Vol. 40, No. 6 (2014)
       
  • Text messaging and retrieval techniques for a mobile health information
           system
    • Authors: Adesina, A. O; Agbele, K. K, Abidoye, A. P, Nyongesa, H. O.
      Pages: 736 - 748
      Abstract: Mobile phones have been identified as one of the technologies that can be used to overcome the challenges of information dissemination regarding serious diseases. Short message services, a much used function of cell phones, for example, can be turned into a major tool for accessing databases. This paper focuses on the design and development of a short message services-based information access algorithm to carefully screen information on human immunodeficiency virus/acquired immune deficiency syndrome within the context of a frequently asked questions system. However, automating the short message services-based information search and retrieval poses significant challenges because of the inherent noise in its communications. The developed algorithm was used to retrieve the best-ranked question–answer pair. Results were evaluated using three metrics: average precision, recall and computational time. The retrieval efficacy was measured and it was confirmed that there was a significant improvement in the results of the proposed algorithm when compared with similar retrieval algorithms.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514540400|hwp:master-id:spjis;0165551514540400
      Issue No: Vol. 40, No. 6 (2014)
       
  • A study on LIWC categories for opinion mining in Spanish reviews
    • Authors: del Pilar Salas-Zarate, M; Lopez-Lopez, E, Valencia-Garcia, R, Aussenac-Gilles, N, Almela, A, Alor-Hernandez, G.
      Pages: 749 - 760
      Abstract: With the exponential growth of social media, that is, blogs and social networks, organizations and individual persons are increasingly using the number of reviews of these media for decision-making about a product or service. Opinion mining detects whether the emotions of an opinion expressed by a user on Web platforms in natural language are positive or negative. This paper presents extensive experiments to study the effectiveness of the classification of Spanish opinions in five categories: highly positive, highly negative, positive, negative and neutral, using the combination of the psychological and linguistic features of LIWC (Linguistic Inquiry and Word Count). LIWC is a text analysis software that enables the extraction of different psychological and linguistic features from natural language text. For this study, two corpora have been used, one about movies and one about technological products. Furthermore, we conducted a comparative assessment of the performance of various classification techniques, J48, SMO and BayesNet, using precision, recall and F-measure metrics. The findings revealed that the positive and negative categories provide better results than the other categories. Finally, experiments on both corpora indicated that SMO produces better results than BayesNet and J48 algorithms, obtaining an F-measure of 90.4 and 87.2% in each domain.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514547842|hwp:master-id:spjis;0165551514547842
      Issue No: Vol. 40, No. 6 (2014)
       
  • C-Rank and its variants: A contribution-based ranking approach exploiting
           links and content
    • Authors: Kim, D.-J; Lee, S.-C, Son, H.-Y, Kim, S.-W, Lee, J. B.
      Pages: 761 - 778
      Abstract: This paper addresses the problem in Web page ranking of effectively combining link and content information with efficiency high enough to be applicable to real-world search engines. Unlike previous surfer models, our approach is based on the viewpoint of a Web page author. Based on this viewpoint, we formulate the concept of contribution score, which indicates the amount to which a term in each page is utilized by other pages. To improve efficiency without loss of effectiveness, we exploit the expectations of both a Web page author and a Web search engine user on retrieval results, and restrict candidate terms that can contribute to other pages to a set of keywords of each page. In this paper, we propose three contribution-based models: C-Rank, PC-Rank and HC-Rank. Experimental results show that C-Rank provides the best precision among the models and is very effective for topic distillation tasks on the .GOV collection in TREC. Most importantly, the proposed models are efficient enough to be applicable to real-world search engines.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514545429|hwp:master-id:spjis;0165551514545429
      Issue No: Vol. 40, No. 6 (2014)
       
  • Graphically structured icons for knowledge tagging
    • Authors: Ma, X; Cahier, J.-P.
      Pages: 779 - 795
      Abstract: Knowledge organization systems need tags to centralize and provide the keywords that can be employed in classifying, sharing and seeking knowledge for personal or organizational use. However, the increased variety of vocabularies and languages causes the connections between textual tags and the documents marked by them to become less and less distinctive. The purpose of this paper is to present an exploratory study on new type of knowledge tags: structured iconic tags. This kind of tag is created based on the special graphical rule – Visual Distinctive Language (VDL) – and has particular focus on the representation of tag structure. A ‘tagging on paper’ experiment was conducted to compare tagging results among three types of tags: textual tags, iconic tags without explicit structure and VDL-based iconic tags. Experimental results demonstrated that the new type of iconic tags improves the representation of tag structure as well as the interpretation of tag meaning. This work is one of the first to investigate how icons would be applied for tagging and what kind of graphical code would better represent knowledge organization. Findings in this paper could enrich the tagging method, which in turn provides a possible way to develop a visual knowledge organization system and iconic tag clouds for digital library.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514542388|hwp:master-id:spjis;0165551514542388
      Issue No: Vol. 40, No. 6 (2014)
       
  • Does discarding XML declarations and changing file extensions improve the
           indexability and visibility of metadata tag names in web search
           engines?
    • Authors: Mahdi Taheri, S; Hariri, N, Ramatollah Fattahi, S.
      Pages: 796 - 805
      Abstract: The aim of the study was to find out whether discarding XML declarations and changing file extensions (i.e. .xml) improve the indexability and visibility of DCXML, MARCXML and MODS element tag names in Web search engines. Two groups of metadata records were included in an experimental study: an experimental group composed of 300 XML-based records without XML declarations and with file extensions according to the name of related metadata standards, and a control group composed of 300 XML-based records with the normal XML structure. These were analysed through an experimental approach. The two sets of records were published on two separate websites and then the sites were introduced to Google and Yahoo!. Findings showed that Google and Yahoo! indexed and retrieved all the tag names relating to the experimental group. However they did not index the tag names in the control group’s records. Based on the findings, some patterns are suggested to metadata creators and Web search engine developers.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514550139|hwp:master-id:spjis;0165551514550139
      Issue No: Vol. 40, No. 6 (2014)
       
  • Exploring characteristics of video consuming behaviour in different social
           media using K-pop videos
    • Authors: Kim, Y. H; Lee, D, Han, N. G, Song, M.
      Pages: 806 - 822
      Abstract: Differences in user behaviours appearing across different social media are yet to be explored. This paper aims to investigate aspects of the way users consume Web videos, which is a specific cultural behaviour, reflected in different social media. Specifically, we looked at YouTube K-pop videos viewed on YouTube or mentioned on Twitter, which were collected by Web crawling and used for building the respective networks. The node of the networks is the video, and the edges are the relatedness in the YouTube network and the co-link relationships in the Twitter network. Multilateral analysis is conducted to compare two networks. We found that users focused heavily on K-pop music in the YouTube network whereas they were engaged in a more diverse range of cultural contents including music, dance and TV programmes in the Twitter network. This study can be extended to the other user studies to better understand user behaviour of social media.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514551498|hwp:master-id:spjis;0165551514551498
      Issue No: Vol. 40, No. 6 (2014)
       
  • A taxonomy of crowdsourcing based on task complexity
    • Authors: Nakatsu, R. T; Grossman, E. B, Iacovou, C. L.
      Pages: 823 - 834
      Abstract: Although a great many different crowdsourcing approaches are available to those seeking to accomplish individual or organizational tasks, little research attention has yet been given to characterizing how those approaches might be based on task characteristics. To that end, we conducted an extensive review of the crowdsourcing landscape, including a look at what types of taxonomies are currently available. Our review found that no taxonomy explored the multidimensional nature of task complexity. This paper develops a taxonomy whose specific intent is the classification of approaches in terms of the types of tasks for which they are best suited. To develop this task-based taxonomy, we followed an iterative approach that considered over 100 well-known examples of crowdsourcing. The taxonomy considers three dimensions of task complexity: (a) task structure – is the task well-defined, or does it require a more open-ended solution; (2) task interdependence – can the task be solved by an individual, or does it require a community of problem solvers; and (3) task commitment – what level of commitment is expected from crowd members? Based on this taxonomy, we identify seven categories of crowdsourcing and discuss prototypical examples of each approach. Furnished with such an understanding, one should be able to determine which crowdsourcing approach is most suitable for a particular task situation.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514550140|hwp:master-id:spjis;0165551514550140
      Issue No: Vol. 40, No. 6 (2014)
       
  • Comparing batch update with randomized update for identifying salient
           genes applied to cancer gene expression clustering
    • Authors: Chen; C.-H.
      Pages: 835 - 845
      Abstract: DNA microarrays usually screen a sufficiently large number of genes, including redundancies. In this paper, we study a neighbour-based method for gene assessment applied to the discovery of interesting clusters in an attempt to understand relations among cancer gene expression data. Using the gene assessment, an adaptive vector space is used for recording the genes’ saliences, where the element in this vector represents the weight of the corresponding gene. We thus compare a batch update strategy to a randomized update strategy to iteratively update vectors in the process of gene assessment. In tests on two benchmark cancer gene expression datasets, the experimental results indicate that our batch update strategy performs better than the randomized update strategy for gene assessment applied to the discovery of interesting clusters.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514550141|hwp:master-id:spjis;0165551514550141
      Issue No: Vol. 40, No. 6 (2014)
       
  • Fuzzy logic-based approach to develop hybrid similarity measure for
           efficient information retrieval
    • Authors: Gupta, Y; Saini, A, Saxena, A.
      Pages: 846 - 857
      Abstract: A similarity measure is used in information retrieval systems to retrieve and rank the relevant documents. In this paper, a new fuzzy-based approach to develop hybrid similarity measure is proposed and implemented. The proposed approach overcomes the limitations of extensively used similarity measures such as Cosine, Jaccard, Euclidean and Okapi-BM25 along with Genetic Algorithm-based hybrid similarity measures proposed by researchers. This approach uses fuzzy rules to infer the weights of different similarity measures. In this paper, the experiments are performed on CACM and CISI benchmark data collections. The performance of the proposed approach is evaluated in terms of precision, recall and average precision and average recall of retrieved relevant documents. The results are compared with different similarity measures available in literature. The results show the marked improvement in performance of information retrieval systems using the proposed fuzzy logic-based hybrid similarity measure.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514548989|hwp:master-id:spjis;0165551514548989
      Issue No: Vol. 40, No. 6 (2014)
       
  • In response to: '"So wide and varied": The origins and character of
           British information science'
    • Authors: White, M; Oppenheim, C.
      Pages: 858 - 862
      Abstract: This letter provides some additional perspectives on the development of British information science. The authors have been personally involved in the discipline since the early 1970s and have had the privilege of knowing many of the pioneers in information science research and exploitation. The opportunity is taken add some personal perspectives to the paper and add further references to the bibliography.
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514544625|hwp:master-id:spjis;0165551514544625
      Issue No: Vol. 40, No. 6 (2014)
       
  • In response to White and Oppenheim
    • Authors: Robinson, L; Bawden, D.
      Pages: 863 - 863
      PubDate: 2014-12-05T04:14:13-08:00
      DOI: 10.1177/0165551514545427|hwp:master-id:spjis;0165551514545427
      Issue No: Vol. 40, No. 6 (2014)
       
 
 
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