Search (10 results, page 1 of 1)

  • × author_ss:"Bar-Ilan, J."
  1. Zhitomirsky-Geffet, M.; Erez, E.S.; Bar-Ilan, J.: Toward multiviewpoint ontology construction by collaboration of non-experts and crowdsourcing : the case of the effect of diet on health (2017) 0.01
    0.011756477 = product of:
      0.054863557 = sum of:
        0.021217827 = weight(_text_:subject in 3439) [ClassicSimilarity], result of:
          0.021217827 = score(doc=3439,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.19758089 = fieldWeight in 3439, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3439)
        0.016822865 = weight(_text_:classification in 3439) [ClassicSimilarity], result of:
          0.016822865 = score(doc=3439,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 3439, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3439)
        0.016822865 = weight(_text_:classification in 3439) [ClassicSimilarity], result of:
          0.016822865 = score(doc=3439,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 3439, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3439)
      0.21428572 = coord(3/14)
    
    Abstract
    Domain experts are skilled in buliding a narrow ontology that reflects their subfield of expertise based on their work experience and personal beliefs. We call this type of ontology a single-viewpoint ontology. There can be a variety of such single viewpoint ontologies that represent a wide spectrum of subfields and expert opinions on the domain. However, to have a complete formal vocabulary for the domain they need to be linked and unified into a multiviewpoint model while having the subjective viewpoint statements marked and distinguished from the objectively true statements. In this study, we propose and implement a two-phase methodology for multiviewpoint ontology construction by nonexpert users. The proposed methodology was implemented for the domain of the effect of diet on health. A large-scale crowdsourcing experiment was conducted with about 750 ontological statements to determine whether each of these statements is objectively true, viewpoint, or erroneous. Typically, in crowdsourcing experiments the workers are asked for their personal opinions on the given subject. However, in our case their ability to objectively assess others' opinions was examined as well. Our results show substantially higher accuracy in classification for the objective assessment approach compared to the results based on personal opinions.
  2. Bar-Ilan, J.: What do we know about links and linking? : a framework for studying links in academic environments (2005) 0.01
    0.009990192 = product of:
      0.06993134 = sum of:
        0.03496567 = weight(_text_:classification in 1058) [ClassicSimilarity], result of:
          0.03496567 = score(doc=1058,freq=6.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.3656675 = fieldWeight in 1058, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=1058)
        0.03496567 = weight(_text_:classification in 1058) [ClassicSimilarity], result of:
          0.03496567 = score(doc=1058,freq=6.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.3656675 = fieldWeight in 1058, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=1058)
      0.14285715 = coord(2/14)
    
    Abstract
    The Web is an enormous set of documents connected through hypertext links created by authors of Web pages. These links have been studied quantitatively, but little has been done so far in order to understand why these links are created. As a first step towards a better understanding, we propose a classification of link types in academic environments on the Web. The classification is multi-faceted and involves different aspects of the source and the target page, the link area and the relationship between the source and the target. Such classification provides an insight into the diverse uses of hypertext links on the Web, and has implications for browsing and ranking in IR systems by differentiating between different types of links. As a case study we classified a sample of links between sites of Israeli academic institutions.
  3. Bergman, O.; Gradovitch, N.; Bar-Ilan, J.; Beyth-Marom, R.: Folder versus tag preference in personal information management (2013) 0.01
    0.0067974646 = product of:
      0.04758225 = sum of:
        0.023791125 = weight(_text_:classification in 1103) [ClassicSimilarity], result of:
          0.023791125 = score(doc=1103,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.24880521 = fieldWeight in 1103, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1103)
        0.023791125 = weight(_text_:classification in 1103) [ClassicSimilarity], result of:
          0.023791125 = score(doc=1103,freq=4.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.24880521 = fieldWeight in 1103, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1103)
      0.14285715 = coord(2/14)
    
    Abstract
    Users' preferences for folders versus tags was studied in 2 working environments where both options were available to them. In the Gmail study, we informed 75 participants about both folder-labeling and tag-labeling, observed their storage behavior after 1 month, and asked them to estimate the proportions of different retrieval options in their behavior. In the Windows 7 study, we informed 23 participants about tags and asked them to tag all their files for 2 weeks, followed by a period of 5 weeks of free choice between the 2 methods. Their storage and retrieval habits were tested prior to the learning session and, after 7 weeks, using special classification recording software and a retrieval-habits questionnaire. A controlled retrieval task and an in-depth interview were conducted. Results of both studies show a strong preference for folders over tags for both storage and retrieval. In the minority of cases where tags were used for storage, participants typically used a single tag per information item. Moreover, when multiple classification was used for storage, it was only marginally used for retrieval. The controlled retrieval task showed lower success rates and slower retrieval speeds for tag use. Possible reasons for participants' preferences are discussed.
  4. Shema, H.; Bar-Ilan, J.; Thelwall, M.: How is research blogged? : A content analysis approach (2015) 0.00
    0.004806533 = product of:
      0.03364573 = sum of:
        0.016822865 = weight(_text_:classification in 1863) [ClassicSimilarity], result of:
          0.016822865 = score(doc=1863,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 1863, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1863)
        0.016822865 = weight(_text_:classification in 1863) [ClassicSimilarity], result of:
          0.016822865 = score(doc=1863,freq=2.0), product of:
            0.09562149 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.03002521 = queryNorm
            0.17593184 = fieldWeight in 1863, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1863)
      0.14285715 = coord(2/14)
    
    Abstract
    Blogs that cite academic articles have emerged as a potential source of alternative impact metrics for the visibility of the blogged articles. Nevertheless, to evaluate more fully the value of blog citations, it is necessary to investigate whether research blogs focus on particular types of articles or give new perspectives on scientific discourse. Therefore, we studied the characteristics of peer-reviewed references in blogs and the typical content of blog posts to gain insight into bloggers' motivations. The sample consisted of 391 blog posts from 2010 to 2012 in Researchblogging.org's health category. The bloggers mostly cited recent research articles or reviews from top multidisciplinary and general medical journals. Using content analysis methods, we created a general classification scheme for blog post content with 10 major topic categories, each with several subcategories. The results suggest that health research bloggers rarely self-cite and that the vast majority of their blog posts (90%) include a general discussion of the issue covered in the article, with more than one quarter providing health-related advice based on the article(s) covered. These factors suggest a genuine attempt to engage with a wider, nonacademic audience. Nevertheless, almost 30% of the posts included some criticism of the issues being discussed.
  5. Bar-Ilan, J.: ¬The Web as an information source on informetrics? : A content analysis (2000) 0.00
    0.0021547303 = product of:
      0.030166224 = sum of:
        0.030166224 = weight(_text_:bibliographic in 4587) [ClassicSimilarity], result of:
          0.030166224 = score(doc=4587,freq=2.0), product of:
            0.11688946 = queryWeight, product of:
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.03002521 = queryNorm
            0.2580748 = fieldWeight in 4587, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.046875 = fieldNorm(doc=4587)
      0.071428575 = coord(1/14)
    
    Abstract
    This article addresses the question of whether the Web can serve as an information source for research. Specifically, it analyzes by way of content analysis the Web pages retrieved by the major search engines on a particular date (June 7, 1998), as a result of the query 'informetrics OR informetric'. In 807 out of the 942 retrieved pages, the search terms were mentioned in the context of information science. Over 70% of the pages contained only indirect information on the topic, in the form of hypertext links and bibliographical references without annotation. The bibliographical references extracted from the Web pages were analyzed, and lists of most productive authors, most cited authors, works, and sources were compiled. The list of reference obtained from the Web was also compared to data retrieved from commercial databases. For most cases, the list of references extracted from the Web outperformed the commercial, bibliographic databases. The results of these comparisons indicate that valuable, freely available data is hidden in the Web waiting to be extracted from the millions of Web pages
  6. Shema, H.; Bar-Ilan, J.; Thelwall, M.: Do blog citations correlate with a higher number of future citations? : Research blogs as a potential source for alternative metrics (2014) 0.00
    0.0021547303 = product of:
      0.030166224 = sum of:
        0.030166224 = weight(_text_:bibliographic in 1258) [ClassicSimilarity], result of:
          0.030166224 = score(doc=1258,freq=2.0), product of:
            0.11688946 = queryWeight, product of:
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.03002521 = queryNorm
            0.2580748 = fieldWeight in 1258, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.893044 = idf(docFreq=2449, maxDocs=44218)
              0.046875 = fieldNorm(doc=1258)
      0.071428575 = coord(1/14)
    
    Abstract
    Journal-based citations are an important source of data for impact indices. However, the impact of journal articles extends beyond formal scholarly discourse. Measuring online scholarly impact calls for new indices, complementary to the older ones. This article examines a possible alternative metric source, blog posts aggregated at ResearchBlogging.org, which discuss peer-reviewed articles and provide full bibliographic references. Articles reviewed in these blogs therefore receive "blog citations." We hypothesized that articles receiving blog citations close to their publication time receive more journal citations later than the articles in the same journal published in the same year that did not receive such blog citations. Statistically significant evidence for articles published in 2009 and 2010 support this hypothesis for seven of 12 journals (58%) in 2009 and 13 of 19 journals (68%) in 2010. We suggest, based on these results, that blog citations can be used as an alternative metric source.
  7. Bar-Ilan, J.; Belous, Y.: Children as architects of Web directories : an exploratory study (2007) 0.00
    0.0015155592 = product of:
      0.021217827 = sum of:
        0.021217827 = weight(_text_:subject in 289) [ClassicSimilarity], result of:
          0.021217827 = score(doc=289,freq=2.0), product of:
            0.10738805 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03002521 = queryNorm
            0.19758089 = fieldWeight in 289, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=289)
      0.071428575 = coord(1/14)
    
    Abstract
    Children are increasingly using the Web. Cognitive theory tells us that directory structures are especially suited for information retrieval by children; however, empirical results show that they prefer keyword searching. One of the reasons for these findings could be that the directory structures and terminology are created by grown-ups. Using a card-sorting method and an enveloping system, we simulated the structure of a directory. Our goal was to try to understand what browsable, hierarchical subject categories children create when suggested terms are supplied and they are free to add or delete terms. Twelve groups of four children each (fourth and fifth graders) participated in our exploratory study. The initial terminology presented to the children was based on names of categories used in popular directories, in the sections on Arts, Television, Music, Cinema, and Celebrities. The children were allowed to introduce additional cards and change the terms appearing on the 61 cards. Findings show that the different groups reached reasonable consensus; the majority of the category names used by existing directories were acceptable by them and only a small minority of the terms caused confusion. Our recommendation is to include children in the design process of directories, not only in designing the interface but also in designing the content structure as well.
  8. Bronstein, J.; Gazit, T.; Perez, O.; Bar-Ilan, J.; Aharony, N.; Amichai-Hamburger, Y.: ¬An examination of the factors contributing to participation in online social platforms (2016) 0.00
    7.264289E-4 = product of:
      0.010170003 = sum of:
        0.010170003 = product of:
          0.020340007 = sum of:
            0.020340007 = weight(_text_:22 in 3364) [ClassicSimilarity], result of:
              0.020340007 = score(doc=3364,freq=2.0), product of:
                0.10514317 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03002521 = queryNorm
                0.19345059 = fieldWeight in 3364, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3364)
          0.5 = coord(1/2)
      0.071428575 = coord(1/14)
    
    Date
    20. 1.2015 18:30:22
  9. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.00
    5.811431E-4 = product of:
      0.008136002 = sum of:
        0.008136002 = product of:
          0.016272005 = sum of:
            0.016272005 = weight(_text_:22 in 1634) [ClassicSimilarity], result of:
              0.016272005 = score(doc=1634,freq=2.0), product of:
                0.10514317 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03002521 = queryNorm
                0.15476047 = fieldWeight in 1634, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03125 = fieldNorm(doc=1634)
          0.5 = coord(1/2)
      0.071428575 = coord(1/14)
    
    Date
    20. 1.2015 18:30:22
  10. Zhitomirsky-Geffet, M.; Bar-Ilan, J.; Levene, M.: Testing the stability of "wisdom of crowds" judgments of search results over time and their similarity with the search engine rankings (2016) 0.00
    5.811431E-4 = product of:
      0.008136002 = sum of:
        0.008136002 = product of:
          0.016272005 = sum of:
            0.016272005 = weight(_text_:22 in 3071) [ClassicSimilarity], result of:
              0.016272005 = score(doc=3071,freq=2.0), product of:
                0.10514317 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03002521 = queryNorm
                0.15476047 = fieldWeight in 3071, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03125 = fieldNorm(doc=3071)
          0.5 = coord(1/2)
      0.071428575 = coord(1/14)
    
    Date
    20. 1.2015 18:30:22