IS AN IMAGE WORTH A THOUSAND WORDS? NET REPRESENTATIONS OF THE BOOK INDUSTRY

[EN] This study focuses on the book industry homepage, a digital genre which has emerged as a result of the many multimedia and technical capabilities of the online system. Traditionally, publishing firms have made use of catalogues, leaflets and brochures for information and self-promotion. With the advent of the Internet, however, these traditional methods have been gradually transferred to the digital context, which propitiates the evolution of existing genres and the emergence of new ones, the so-called cybergenres. By means of the homepage, publishing companies represent themselves and project their image on the new computer environment using a wide range of devices, such as icons, animated and non-animated images, and links, which make up the visual rhetoric of the genre. Nonetheless, the verbal element still plays a crucial role in the realisation of the promotional purpose of the genre, especially in the company's profile section.http://doi.org/10.4995/rlyla.2006.681Gea Valor, ML. (2006). IS AN IMAGE WORTH A THOUSAND WORDS? NET REPRESENTATIONS OF THE BOOK INDUSTRY. Revista de Lingüística y Lenguas Aplicadas. 1. doi:10.4995/rlyla.2006.681.SWORD1Bhatia, V. K. (1993). Analysing Genre: Language Use in Professional Settings. London: Longman.Bhatia, V. K. (2004). Worlds of Written Discourse. A Genre-Based View. London & New York: Continuum.Breure, L. (2001). "Development of the genre concept." Document in: http://www.cs.uu.nl/people/leen/GenreDev/GenreDevelopment.htm [access date: 23.10.2005]Crowston, K. and M. Williams (1997). "Reproduced and emergent genres of communication on the World-Wide Web," in R. H. Sprague (ed.) Proceedings of the 30th Annual Hawaii International Conference on System Sciences(HICSS '97). Maui, Hawaii, VI,30-39. Document in: http://crowston.syr.edu/papers/genres-journal.html [access date: 23.10.2005] https://doi.org/10.1109/HICSS.1997.665482Dillon, A. and B. Gushrowski (2000). "Genres and the Web: Is the personal home page the first unique digital genre?" Journal of the American Society of Information Science51.2: 202-205. Document in: http://memex.lib.indiana.edu/adillon/genre.html. https://doi.org/10.1002/(SICI)1097-4571(2000)51:23.0.CO;2-RFernández Sánchez, C. (2002). "E-bank web sites: an evolving cybergenre," in S. Posteguillo, E. Ortells, J. R. Palmer, A. Bolaños and A. Alcina (eds.) Internet in Linguistics, Translation and Literary Studies. Castelló: Publicacions de la Universitat Jaume I: 291-302.Fortanet, I., J. C. Palmer and S. Posteguillo (1999). "The emergence of a new genre: advertising on the Internet (netvertising)." Hermes, Journal of Linguistics23, 93-113.Gea Valor, M. L. (2005). "Advertising books: a linguistic analysis of blurbs." Ibérica, 10, 41-62.Posteguillo, S. (2003). Netlinguistics: Language, Discourse and Ideology in Internet. Castelló: Publicacions de la Universitat Jaume I.Posteguillo, S. and N. Edo (2005). "The ceramic industrial community through its representation in traditional and digital genres." Proceedings of the 4th AELFE International Conference, 83-94.Regier, W. (1998). "Scholarly press websites." The Journal of Electronic Publishing4: 1.Document in: http://www.press.umich.edu/jep/04-01/regier.html [access date: 17.10.2005] https://doi.org/10.3998/3336451.0004.108Ruiz, N. (2003). "The university homepage: definition and evolution from a generic perspective," in I. Fortanet, J. C. Palmer and S. Posteguillo (eds.) Linguistic Studies in Academic and Professional English. Castelló: Publicacions de la Universitat Jaume I, 275-298.Shepherd, M. and C. Watters (1998). "The evolution of cybergenres," in R. H. Sprague (ed.) Proceedings of the 31st Annual Hawaii International Conference on System Sciences (HICSS '98). Los Alamitos, CA, IEEE-Computer Society, 97-109. https://doi.org/10.1109/HICSS.1998.651688Shepherd, M. and C. Watters (1999). "The functionality attribute of cybergenres," in R. H.Sprague (ed.) Proceedings of the 32nd Hawaii International Conference on System Sciences (HICSS '99). Los Alamitos, CA, IEEE-Computer Society. https://doi.org/10.1109/HICSS.1999.772650Swales, J. (1990). Genre Analysis. English in Academic and Research Settings. Cambridge: Cambridge University Press.Wikipedia, the Free Encyclopedia. Document in: http://en.wikipedia.org/wiki [access date: 9.11.2005]

Negative Results in Computer Vision: A Perspective

A negative result is when the outcome of an experiment or a model is not what is expected or when a hypothesis does not hold. Despite being often overlooked in the scientific community, negative results are results and they carry value. While this topic has been extensively discussed in other fields such as social sciences and biosciences, less attention has been paid to it in the computer vision community. The unique characteristics of computer vision, particularly its experimental aspect, call for a special treatment of this matter. In this paper, I will address what makes negative results important, how they should be disseminated and incentivized, and what lessons can be learned from cognitive vision research in this regard. Further, I will discuss issues such as computer vision and human vision interaction, experimental design and statistical hypothesis testing, explanatory versus predictive modeling, performance evaluation, model comparison, as well as computer vision research culture

The development of computer science research in the People's Republic of China 2000-2009: A bibliometric study

This paper reports a bibliometric study of the development of computer science research in the People's Republic of China in the 21st century, using data from the Web of Science, Journal Citation Reports and CORE databases. Focusing on the areas of data mining, operating systems and web design, it is shown that whilst the productivity of Chinese research has risen dramatically over the period under review, its impact is still low when compared with established scientific nations such as the USA, the UK and Japan. The publication and citation data for China are compared with corresponding data for the other three BRIC nations (Brazil, Russian and India). It is shown that China dominates the BRIC nations in terms of both publications and citations, but that Indian publications often have a greater individual impact. © The Author(s) 2012

Chemoinformatics Research at the University of Sheffield: A History and Citation Analysis

This paper reviews the work of the Chemoinformatics Research Group in the Department of Information Studies at the University of Sheffield, focusing particularly on the work carried out in the period 1985-2002. Four major research areas are discussed, these involving the development of methods for: substructure searching in databases of three-dimensional structures, including both rigid and flexible molecules; the representation and searching of the Markush structures that occur in chemical patents; similarity searching in databases of both two-dimensional and three-dimensional structures; and compound selection and the design of combinatorial libraries. An analysis of citations to 321 publications from the Group shows that it attracted a total of 3725 residual citations during the period 1980-2002. These citations appeared in 411 different journals, and involved 910 different citing organizations from 54 different countries, thus demonstrating the widespread impact of the Group's work

Crossing the academic ocean? Judit Bar-Ilan's oeuvre on search engines studies

[EN] The main objective of this work is to analyse the contributions of Judit Bar-Ilan to the search engines studies. To do this, two complementary approaches have been carried out. First, a systematic literature review of 47 publications authored and co-authored by Judit and devoted to this topic. Second, an interdisciplinarity analysis based on the cited references (publications cited by Judit) and citing documents (publications that cite Judit's work) through Scopus. The systematic literature review unravels an immense amount of search engines studied (43) and indicators measured (especially technical precision, overlap and fluctuation over time). In addition to this, an evolution over the years is detected from descriptive statistical studies towards empirical user studies, with a mixture of quantitative and qualitative methods. Otherwise, the interdisciplinary analysis evidences that a significant portion of Judit's oeuvre was intellectually founded on the computer sciences, achieving a significant, but not exclusively, impact on library and information sciences.Orduña-Malea, E. (2020). Crossing the academic ocean? Judit Bar-Ilan's oeuvre on search engines studies. Scientometrics. 123(3):1317-1340. https://doi.org/10.1007/s11192-020-03450-4S131713401233Bar-Ilan, J. (1998a). On the overlap, the precision and estimated recall of search engines. A case study of the query “Erdos”. Scientometrics,42(2), 207–228. https://doi.org/10.1007/bf02458356.Bar-Ilan, J. (1998b). The mathematician, Paul Erdos (1913–1996) in the eyes of the Internet. Scientometrics,43(2), 257–267. https://doi.org/10.1007/bf02458410.Bar-Ilan, J. (2000). The web as an information source on informetrics? A content analysis. Journal of the American Society for Information Science and Technology,51(5), 432–443. https://doi.org/10.1002/(sici)1097-4571(2000)51:5%3C432:aid-asi4%3E3.0.co;2-7.Bar-Ilan, J. (2001). Data collection methods on the web for informetric purposes: A review and analysis. Scientometrics,50(1), 7–32.Bar-Ilan, J. (2002). Methods for measuring search engine performance over time. Journal of the American Society for Information Science and Technology,53(4), 308–319. https://doi.org/10.1002/asi.10047.Bar-Ilan, J. (2003). Search engine results over time: A case study on search engine stability. Cybermetrics,2/3, 1–16.Bar-Ilan, J. (2005a). Expectations versus reality—Search engine features needed for Web research at mid 2005. Cybermetrics,9, 1–26.Bar-Ilan, J. (2005b). Expectations versus reality—Web search engines at the beginning of 2005. In Proceedings of ISSI 2005: 10th international conference of the international society for scientometrics and informetrics (Vol. 1, pp. 87–96).Bar-Ilan, J. (2010). The WIF of Peter Ingwersen’s website. In B. Larsen, J. W. Schneider, & F. Åström (Eds.), The Janus Faced Scholar a Festschrift in honour of Peter Ingwersen (pp. 119–121). Det Informationsvidenskabelige Akademi. Retrieved 15 January 15, 2020, from https://vbn.aau.dk/ws/portalfiles/portal/90357690/JanusFacedScholer_Festschrift_PeterIngwersen_2010.pdf#page=122.Bar-Ilan, J. (2018). Eugene Garfield on the web in 2001. Scientometrics,114(2), 389–399. https://doi.org/10.1007/s11192-017-2590-9.Bar-Ilan, J., Mat-Hassan, M., & Levene, M. (2006). Methods for comparing rankings of search engine results. Computer Networks,50(10), 1448–1463. https://doi.org/10.1016/j.comnet.2005.10.020.Thelwall, M. (2017). Judit Bar-Ilan: Information scientist, computer scientist, scientometrician. Scientometrics,113(3), 1235–1244. https://doi.org/10.1007/s11192-017-2551-3

A guided tour of asynchronous cellular automata

Research on asynchronous cellular automata has received a great amount of attention these last years and has turned to a thriving field. We survey the recent research that has been carried out on this topic and present a wide state of the art where computing and modelling issues are both represented.Comment: To appear in the Journal of Cellular Automat

Origins of Modern Data Analysis Linked to the Beginnings and Early Development of Computer Science and Information Engineering

The history of data analysis that is addressed here is underpinned by two themes, -- those of tabular data analysis, and the analysis of collected heterogeneous data. "Exploratory data analysis" is taken as the heuristic approach that begins with data and information and seeks underlying explanation for what is observed or measured. I also cover some of the evolving context of research and applications, including scholarly publishing, technology transfer and the economic relationship of the university to society.Comment: 26 page

Do interdisciplinary research teams deliver higher gains to science?

The present paper takes its place in the stream of studies that analyze the effect of interdisciplinarity on the impact of research output. Unlike previous studies, in this study the interdisciplinarity of the publications is not inferred through their citing or cited references, but rather by identifying the authors' designated fields of research. For this we draw on the scientific classification of Italian academics, and their publications as indexed in the WoS over a five-year period (2004-2008). We divide the publications in three subsets on the basis the nature of co-authorship: those papers coauthored with academics from different fields, which show high intensity of inter-field collaboration ("specific" collaboration, occurring in 110 pairings of fields); those papers coauthored with academics who are simply from different "non-specific" fields; and finally co-authorships within a single field. We then compare the citations of the papers and the impact factor of the publishing journals between the three subsets. The results show significant differences, generally in favor of the interdisciplinary authorships, in only one third (or slightly more) of the cases. The analysis provides the value of the median differences for each pair of publication subsets

Critical review of the e-loyalty literature: a purchase-centred framework

Over the last few years, the concept of online loyalty has been examined extensively in the literature, and it remains a topic of constant inquiry for both academics and marketing managers. The tremendous development of the Internet for both marketing and e-commerce settings, in conjunction with the growing desire of consumers to purchase online, has promoted two main outcomes: (a) increasing numbers of Business-to-Customer companies running businesses online and (b) the development of a variety of different e-loyalty research models. However, current research lacks a systematic review of the literature that provides a general conceptual framework on e-loyalty, which would help managers to understand their customers better, to take advantage of industry-related factors, and to improve their service quality. The present study is an attempt to critically synthesize results from multiple empirical studies on e-loyalty. Our findings illustrate that 62 instruments for measuring e-loyalty are currently in use, influenced predominantly by Zeithaml et al. (J Marketing. 1996;60(2):31-46) and Oliver (1997; Satisfaction: a behavioral perspective on the consumer. New York: McGraw Hill). Additionally, we propose a new general conceptual framework, which leads to antecedents dividing e-loyalty on the basis of the action of purchase into pre-purchase, during-purchase and after-purchase factors. To conclude, a number of managerial implementations are suggested in order to help marketing managers increase their customers’ e-loyalty by making crucial changes in each purchase stage