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  • × author_ss:"Ibekwe-SanJuan, F."
  1. Ibekwe-SanJuan, F.; Eric SanJuan, E.: Mining for knowledge chunks in a terminology network (2004) 0.00
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    Abstract
    This paper examines further a research hypothesis that syntactic variations are an interesting alternative to the clustering approach and they offer meaningful ways of highlighting and organising associated research topics in a corpus. A textmining and topic mapping system, TermWatch, has been developed based on this hypothesis. Preliminary results obtained an a large IR corpus are promising and call for further systematic investigation.
    Source
    Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine
  2. Ibekwe-SanJuan, F.: Constructing and maintaining knowledge organization tools : a symbolic approach (2006) 0.00
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    Abstract
    Purpose - To propose a comprehensive and semi-automatic method for constructing or updating knowledge organization tools such as thesauri. Design/methodology/approach - The paper proposes a comprehensive methodology for thesaurus construction and maintenance combining shallow NLP with a clustering algorithm and an information visualization interface. The resulting system TermWatch, extracts terms from a text collection, mines semantic relations between them using complementary linguistic approaches and clusters terms using these semantic relations. The clusters are mapped onto a 2D using an integrated visualization tool. Findings - The clusters formed exhibit the different relations necessary to populate a thesaurus or ontology: synonymy, generic/specific and relatedness. The clusters represent, for a given term, its closest neighbours in terms of semantic relations. Practical implications - This could change the way in which information professionals (librarians and documentalists) undertake knowledge organization tasks. TermWatch can be useful either as a starting point for grasping the conceptual organization of knowledge in a huge text collection without having to read the texts, then actually serving as a suggestive tool for populating different hierarchies of a thesaurus or an ontology because its clusters are based on semantic relations. Originality/value - This lies in several points: combined use of linguistic relations with an adapted clustering algorithm, which is scalable and can handle sparse data. The paper proposes a comprehensive approach to semantic relations acquisition whereas existing studies often use one or two approaches. The domain knowledge maps produced by the system represents an added advantage over existing approaches to automatic thesaurus construction in that clusters are formed using semantic relations between domain terms. Thus while offering a meaningful synthesis of the information contained in the original corpus through clustering, the results can be used for knowledge organization tasks (thesaurus building and ontology population) The system also constitutes a platform for performing several knowledge-oriented tasks like science and technology watch, textmining, query refinement.
  3. Ibekwe-SanJuan, F.: Semantic metadata annotation : tagging Medline abstracts for enhanced information access (2010) 0.00
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    Abstract
    Purpose - The object of this study is to develop methods for automatically annotating the argumentative role of sentences in scientific abstracts. Working from Medline abstracts, sentences were classified into four major argumentative roles: objective, method, result, and conclusion. The idea is that, if the role of each sentence can be marked up, then these metadata can be used during information retrieval to seek particular types of information such as novelty, conclusions, methodologies, aims/goals of a scientific piece of work. Design/methodology/approach - Two approaches were tested: linguistic cues and positional heuristics. Linguistic cues are lexico-syntactic patterns modelled as regular expressions implemented in a linguistic parser. Positional heuristics make use of the relative position of a sentence in the abstract to deduce its argumentative class. Findings - The experiments showed that positional heuristics attained a much higher degree of accuracy on Medline abstracts with an F-score of 64 per cent, whereas the linguistic cues only attained an F-score of 12 per cent. This is mostly because sentences from different argumentative roles are not always announced by surface linguistic cues. Research limitations/implications - A limitation to the study was the inability to test other methods to perform this task such as machine learning techniques which have been reported to perform better on Medline abstracts. Also, to compare the results of the study with earlier studies using Medline abstracts, the different argumentative roles present in Medline had to be mapped on to four major argumentative roles. This may have favourably biased the performance of the sentence classification by positional heuristics. Originality/value - To the best of one's knowledge, this study presents the first instance of evaluating linguistic cues and positional heuristics on the same corpus.
  4. Ibekwe-SanJuan, F.; SanJuan, E.: Knowledge organization research in the last two decades: 1988-2008 (2010) 0.00
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    Abstract
    We apply an automatic topic mapping system to records of publications in knowledge organization published between 1988-2008. The data was collected from journals publishing articles in the KO field from Web of Science database (WoS). The results showed that while topics in the first decade (1988-1997) were more traditional, the second decade (1998-2008) was marked by a more technological orientation and by the appearance of more specialized topics driven by the pervasiveness of the Web environment.
  5. Ibekwe-SanJuan, F.: ¬The French conception of information science : "une exception française"? (2012) 0.00
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    Abstract
    The French conception of information science is often contrasted with the Anglophone one, which is perceived as different and rooted mainly in Shannon's mathematical theory of communication. While there is such a thing as a French conception of information science, this conception is not totally divorced from the Anglophone one. Unbeknownst to researchers from the two geographical and cultural regions, they share similar conceptions of the field and invoke similar theoretical foundations, in particular the socio-constructivist theory. There is also a convergence of viewpoints on the dual nature of information science, i.e., the fact that it is torn between two competing paradigms-objectivist and subjectivist. Technology is another area where a convergence of viewpoints is noticeable: Scholars from both geographic and cultural zones display the same suspicion toward the role of technology and of computer science. It would therefore be misleading to uphold the view that Anglophone information science is essentially objectivist and technicist while the French conception is essentially social and rooted in the humanities. This paper highlights converging analyses from authors based in both linguistic and geographical regions with the aim to foster a better understanding of the challenges that information science is facing worldwide and to help trace a path to how the global information science community can try to meet them.
    Series
    Advances in information science
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1693-1709
  6. Dousa, T.M.; Ibekwe-SanJuan, F.: Epistemological and methodological eclecticism in the construction of knowledge organization systems (KOSs) : the case of analytico-synthetic KOSs (2014) 0.00
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  7. Chen, C.; Ibekwe-SanJuan, F.; Hou, J.: ¬The structure and dynamics of cocitation clusters : a multiple-perspective cocitation analysis (2010) 0.00
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    Abstract
    A multiple-perspective cocitation analysis method is introduced for characterizing and interpreting the structure and dynamics of cocitation clusters. The method facilitates analytic and sense making tasks by integrating network visualization, spectral clustering, automatic cluster labeling, and text summarization. Cocitation networks are decomposed into cocitation clusters. The interpretation of these clusters is augmented by automatic cluster labeling and summarization. The method focuses on the interrelations between a cocitation cluster's members and their citers. The generic method is applied to a three-part analysis of the field of information science as defined by 12 journals published between 1996 and 2008: (a) a comparative author cocitation analysis (ACA), (b) a progressive ACA of a time series of cocitation networks, and (c) a progressive document cocitation analysis (DCA). Results show that the multiple-perspective method increases the interpretability and accountability of both ACA and DCA networks.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1386-1409
  8. Andrianasolo, N.; Chifu, A.-G.; Fournier, S.; Ibekwe-SanJuan, F.: Challenges to knowledge organization in the era of social media : the case of social controversies (2018) 0.00
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira