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Ibekwe-SanJuan, F.; Eric SanJuan, E.: Mining for knowledge chunks in a terminology network (2004)
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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)
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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
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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)
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- 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
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Ibekwe-SanJuan, F.; SanJuan, E.: Knowledge organization research in the last two decades: 1988-2008 (2010)
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Ibekwe-SanJuan, F.; SanJuan, E.: From term variants to research topics (2002)
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-
Chen, C.; Ibekwe-SanJuan, F.; Pinho, R.; Zhang, J.: ¬The impact of the sloan digital sky survey on astronomical research : the role of culture, identity, and international collaboration (2008)
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Ibekwe-SanJuan, F.: ¬The impact of geographic location on the development of a specialty field : a case study of Sloan Digital Sky Survey in astronomy (2008)
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Chen, C.; Ibekwe-SanJuan, F.; Hou, J.: ¬The structure and dynamics of cocitation clusters : a multiple-perspective cocitation analysis (2010)
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-
Ibekwe-SanJuan, F.: ¬The French conception of information science : "une exception française"? (2012)
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- Location
- F
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Ibekwe-SanJuan, F.: Semantic metadata annotation : tagging Medline abstracts for enhanced information access (2010)
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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.
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Ibekwe-SanJuan, F.; Bowker, G.C.: Implications of big data for knowledge organization (2017)
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-
Ibekwe-SanJuan, F.: Constructing and maintaining knowledge organization tools : a symbolic approach (2006)
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