-
Jiang, J.-D.; Jiang, J.-Y.; Cheng, P.-J.: Cocluster hypothesis and ranking consistency for relevance ranking in web search (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.6, S.535-546
-
Shen, Y.: Create synergies and inspire collaborations around the development of intelligent infrastructure for human-centered communities (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.6, S.596-606
-
Oesterlund, C.; Crowston, K.: Documentation and access to knowledge in online communities : know your audience and write appropriately? (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.6, S.619-633
-
Golub, K.: Automatic subject indexing of text (2019)
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- Abstract
- Automatic subject indexing addresses problems of scale and sustainability and can be at the same time used to enrich existing metadata records, establish more connections across and between resources from various metadata and resource collec-tions, and enhance consistency of the metadata. In this work, au-tomatic subject indexing focuses on assigning index terms or classes from established knowledge organization systems (KOSs) for subject indexing like thesauri, subject headings systems and classification systems. The following major approaches are dis-cussed, in terms of their similarities and differences, advantages and disadvantages for automatic assigned indexing from KOSs: "text categorization," "document clustering," and "document classification." Text categorization is perhaps the most wide-spread, machine-learning approach with what seems generally good reported performance. Document clustering automatically both creates groups of related documents and extracts names of subjects depicting the group at hand. Document classification re-uses the intellectual effort invested into creating a KOS for sub-ject indexing and even simple string-matching algorithms have been reported to achieve good results, because one concept can be described using a number of different terms, including equiv-alent, related, narrower and broader terms. Finally, applicability of automatic subject indexing to operative information systems and challenges of evaluation are outlined, suggesting the need for more research.
-
Martínez-Arellano, F.F.; Hernández-Pacheco, F.; Chávez-Hernández, E.: Classification and subject indexing issues at a Mexican library specializing in law research (2019)
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- Abstract
- Subject indexing and classification of law resources is a complex issue due to several factors: specialized meanings of legal terms, meanings across different branches of law, terms in legal systems from diverse countries, and terms in different languages. These issues led to the development of a classification and subject indexing system which will help answer the major challenges of indexing and classifying law resources in the Research Institute Library at the National Autonomous University of Mexico. Adopting its own classification required interdisciplinary work between law and information organization specialists, constant updating by legal specialists and others beyond the Legal Research Institute; and the sharing of this classification system with other institutions. Now, this classification system is used by important institutions that specialize in law, such as the network of Libraries of the Supreme Court of Justice of the Nation of Mexico. The purpose of this article is to show why and how this law classification and subject system was developed and is continuously being updated by libarians and law scholars in order for it to meet their specific needs.
-
Kim, J.: Scale-free collaboration networks : an author name disambiguation perspective (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.7, S.685-700
-
Muneer, I.; Sharjeel, M.; Iqbal, M.; Adeel Nawab, R.M.; Rayson, P.: CLEU - A Cross-language english-urdu corpus and benchmark for text reuse experiments (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.7, S.729-741
-
Rodríguez-Vidal, J.; Gonzalo, J.; Plaza, L.; Anaya Sánchez, H.: Automatic detection of influencers in social networks : authority versus domain signals (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.7, S.675-684
-
Carbonaro, A.; Santandrea, L.: ¬A general Semantic Web approach for data analysis on graduates statistics
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- Abstract
- Currently, several datasets released in a Linked Open Data format are available at a national and international level, but the lack of shared strategies concerning the definition of concepts related to the statistical publishing community makes difficult a comparison among given facts starting from different data sources. In order to guarantee a shared representation framework for what concerns the dissemination of statistical concepts about graduates, we developed SW4AL, an ontology-based system for graduate's surveys domain. The developed system transforms low-level data into an enriched information model and is based on the AlmaLaurea surveys covering more than 90% of Italian graduates. SW4AL: i) semantically describes the different peculiarities of the graduates; ii) promotes the structured definition of the AlmaLaurea data and the following publication in the Linked Open Data context; iii) provides their reuse in the open data scope; iv) enables logical reasoning about knowledge representation. SW4AL establishes a common semantic for addressing the concept of graduate's surveys domain by proposing the creation of a SPARQL endpoint and a Web based interface for the query and the visualization of the structured data.
-
Wakeling, S.; Creaser, C.; Pinfield, S.; Fry, J.; Spezi, V.; Willett, P.; Paramita, M.: Motivations, understandings, and experiences of open-access mega-journal authors : results of a large-scale survey (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.7, S.754-768
-
Girdhar, N.; Bharadwaj, K.K.: Community detection in signed social networks using multiobjective genetic algorithm (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.8, S.788-804
-
Adamovic, S.; Miskovic, V.; Milosavljevic, M.; Sarac, M.; Veinovic, M.: Automated language-independent authorship verification (for Indo-European languages) : facilitating adaptive visual exploration of scientific publications by citation links (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.8, S.858-871
-
Aung, H.H.; Zheng, H.; Erdt, M.; Aw, A.S.; Sin, S.-C.J.; Theng, Y.-L.: Investigating familiarity and usage of traditional metrics and altmetrics (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.8, S.872-887
-
Xu, S.; Zhai, D.; Wang, F.; An, X.; Pang, H.; Sun, Y.: ¬A novel method for topic linkages between scientific publications and patents (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.9, S.1026-1042
-
Arenas, A.E.; Goh, J.M.; Matthews, B.: Identifying the business model dimensions of data sharing : a value-based approach (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1047-1059
-
Savoy, J.: Authorship of Pauline epistles revisited (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1089-1097
-
Ostermaier-Grabow, A.; Linek, S.B.: Communication and self-presentation behavior on academic social networking sites : an exploratory case study on profiles and discussion threads on ResearchGate (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1153-1164
-
Wang, S.; Koopman, R.: Embed first, then predict (2019)
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- Footnote
- Beitrag eines Special Issue: Research Information Systems and Science Classifications; including papers from "Trajectories for Research: Fathoming the Promise of the NARCIS Classification," 27-28 September 2018, The Hague, The Netherlands.
-
Legendre, A.: ¬The development of the Canadian Research and Development Classification : a practical approach (2019)
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- Footnote
- Beitrag eines Special Issue: Research Information Systems and Science Classifications; including papers from "Trajectories for Research: Fathoming the Promise of the NARCIS Classification," 27-28 September 2018, The Hague, The Netherlands.
-
Franssen, T.; Wouters, P.: Science and its significant other : representing the humanities in bibliometric scholarship (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1124-1137
