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1

Tuan, Luu Anh, Siu Cheung Hui, and See Kiong Ng. "Utilizing Temporal Information for Taxonomy Construction." Transactions of the Association for Computational Linguistics 4 (December 2016): 551–64. http://dx.doi.org/10.1162/tacl_a_00117.

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Taxonomies play an important role in many applications by organizing domain knowledge into a hierarchy of ‘ is-a’ relations between terms. Previous work on automatic construction of taxonomies from text documents either ignored temporal information or used fixed time periods to discretize the time series of documents. In this paper, we propose a time-aware method to automatically construct and effectively maintain a taxonomy from a given series of documents preclustered for a domain of interest. The method extracts temporal information from the documents and uses a timestamp contribution function to score the temporal relevance of the evidence from source texts when identifying the taxonomic relations for constructing the taxonomy. Experimental results show that our proposed method outperforms the state-of-the-art methods by increasing F-measure up to 7%–20%. Furthermore, the proposed method can incrementally update the taxonomy by adding fresh relations from new data and removing outdated relations using an information decay function. It thus avoids rebuilding the whole taxonomy from scratch for every update and keeps the taxonomy effectively up-to-date in order to track the latest information trends in the rapidly evolving domain.
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Rowley, Jennifer, and Frances Slack. "Information kiosks: a taxonomy." Journal of Documentation 63, no. 6 (October 23, 2007): 879–97. http://dx.doi.org/10.1108/00220410710836402.

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Burgin, Mark, and Gordana Dodig-Crnkovic. "Prolegomena to Information Taxonomy." Proceedings 1, no. 3 (June 9, 2017): 210. http://dx.doi.org/10.3390/is4si-2017-04035.

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McKinney and Yoos. "Information About Information: A Taxonomy of Views." MIS Quarterly 34, no. 2 (2010): 329. http://dx.doi.org/10.2307/20721430.

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Durkin, Louisa, Tobias Jansson, Marisol Sanchez, Maryia Khomich, Martin Ryberg, Erik Kristiansson, and R. Henrik Nilsson. "When mycologists describe new species, not all relevant information is provided (clearly enough)." MycoKeys 72 (September 10, 2020): 109–28. http://dx.doi.org/10.3897/mycokeys.72.56691.

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Taxonomic mycology struggles with what seems to be a perpetual shortage of resources. Logically, fungal taxonomists should therefore leverage every opportunity to highlight and visualize the importance of taxonomic work, the usefulness of taxonomic data far beyond taxonomy, and the integrative and collaborative nature of modern taxonomy at large. Is mycology really doing that, though? In this study, we went through ten years’ worth (2009–2018) of species descriptions of extant fungal taxa – 1,097 studies describing at most ten new species – in five major mycological journals plus one plant journal. We estimated the frequency at which a range of key words, illustrations, and concepts related to ecology, geography, taxonomy, molecular data, and data availability were provided with the descriptions. We also considered a range of science-demographical aspects such as gender bias and the rejuvenation of taxonomy and taxonomists as well as public availability of the results. Our results show that the target audience of fungal species descriptions appears to be other fungal taxonomists, because many aspects of the new species were presented only implicitly, if at all. Although many of the parameters we estimated show a gradual, and in some cases marked, change for the better over time, they still paint a somewhat bleak picture of mycological taxonomy as a male-dominated field where the wants and needs of an extended target audience are often not understood or even considered. This study hopes to leave a mark on the way fungal species are described by putting the focus on ways in which fungal taxonomy can better anticipate the end users of species descriptions – be they mycologists, other researchers, the public at large, or even algorithms. In the end, fungal taxonomy, too, is likely to benefit from such measures.
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M. Vitolo, Theresa, and Chris Coulston. "Taxonomy of Information Literacy Competencies." Journal of Information Technology Education: Research 1 (2002): 043–52. http://dx.doi.org/10.28945/343.

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7

Wagner, Richard H., and Étienne Danchin. "A taxonomy of biological information." Oikos 119, no. 2 (February 2010): 203–9. http://dx.doi.org/10.1111/j.1600-0706.2009.17315.x.

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8

Wheeler, Quentin D. "Taxonomic triage and the poverty of phylogeny." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 359, no. 1444 (April 29, 2004): 571–83. http://dx.doi.org/10.1098/rstb.2003.1452.

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Revisionary taxonomy is frequently dismissed as merely descriptive, which belies its strong intellectual content and hypothesis–driven nature. Funding for taxonomy is inadequate and largely diverted to studies of phylogeny that neither improve classifications nor nomenclature. Phylogenetic classifications are optimal for storing and predicting information, but phylogeny divorced from taxonomy is ephemeral and erodes the accuracy and information content of the language of biology. Taxonomic revisions and monographs are efficient, high–throughput species hypothesis–testing devices that are ideal for the World Wide Web. Taxonomic knowledge remains essential to credible biological research and is made urgent by the biodiversity crisis. Theoretical and technological advances and threats of mass species extinctions indicate that this is the time for a renaissance in taxonomy. Clarity of vision and courage of purpose are needed from individual taxonomists and natural history museums to bring about this evolution of taxonomy into the information age.
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VICTOR, JANINE E., GIDEON F. SMITH, and ABRAHAM E. VAN WYK. "History and drivers of plant taxonomy in South Africa." Phytotaxa 269, no. 3 (August 5, 2016): 193. http://dx.doi.org/10.11646/phytotaxa.269.3.3.

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The development of plant taxonomy in South Africa from about 1600 to 2015 is reviewed, with emphasis on the main driving factors that have influenced the research direction, techniques used, and choice of taxonomic research topic. In addition, key personalities and important historical events are highlighted. The early scientific interest in the flora of South Africa and, by implication, its taxonomy was initially driven by curiosity. Exploration of plants for economic purposes especially for medicinal use and later, agriculture, drove the scientific development of botany and formed the foundation of formal botany in the country. Establishment of botanical gardens and herbaria influenced botanical research, in particular the field of taxonomy. Technological advances lead to increased modernisation of taxonomy as new sources of information derived from other fields of botany were incorporated into taxonomic research. Funding priorities and availability of financial resources influence the taxonomic research that is conducted, and international initiatives that impact on priorities in biodiversity science have further impact on taxonomy. At present the predominant culture of taxonomy is directed towards electronic dissemination of taxonomic information, leading to increased accessibility and connectivity. Strategic planning of plant taxonomy in South Africa has become more formal as relevance and impact of research products increasingly need to be justified with respect to the financial costs of conducting taxonomic research.
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10

Rauthmann, John F. "Structuring Situational Information." European Psychologist 20, no. 3 (July 2015): 176–89. http://dx.doi.org/10.1027/1016-9040/a000225.

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Abstract. There is as yet no consensually agreed-upon situational taxonomy. The current work addresses this issue and reviews extant taxonomic approaches by highlighting a “road map” of six research stations that lead to the observed diversity in taxonomies: (1) theoretical and conceptual guidelines, (2) the “type” of situational information studied, (3) the general taxonomic approach taken, (4) the generation of situation pools, (5) the assessment and rating of situational information, and (6) the statistical analyses of situation data. Current situational taxonomies are difficult to integrate because they follow different paths along these six stations. Some suggestions are given on how to spur integrated taxonomies toward a unified psychology of situations that speaks a common language.
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11

Stordy, Peter. "Taxonomy of literacies." Journal of Documentation 71, no. 3 (May 11, 2015): 456–76. http://dx.doi.org/10.1108/jd-10-2013-0128.

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Purpose – Digital technologies have transformed what it means to be literate and to experience literacy. Various literacies have been coined to capture this transformation including established literacies like computer literacy, information literacy, digital literacy, media literacy and internet literacy, to newer conceptions like transliteracy, metaliteracy and multimodal literacy. The purpose of this paper is to assimilate the various conceptions of literacy and literacy types is becoming increasingly more complex. There is a need for a taxonomy of literacies that reflects more recent developments, one that more comprehensively captures the current literacy landscape and one that might have affordances in the future. Design/methodology/approach – “Library and Information Science Abstracts” (LISA), “Education Resources Information Center” (ERIC) and “British Education Index” were searched for documents relating to digital technologies and literacy. Relevant documents were retrieved and reviewed. This was followed by selective backward and forward citation searching and a further review of relevant documents. Findings – Based on a review of the literature, two significant dimensions of literacy were identified. These dimensions were used to create a literacy framework to enable the classification of literacies and literacy types, i.e. a taxonomy of literacies. This taxonomy was successfully applied to various prominent literacies and literacy types. Research limitations/implications – The literacy framework was only applied to those literacies and literacy types that are directly or indirectly related to digital technologies. Originality/value – There have been a few attempts to classify some literacy types. When conceived, these classifications comprehensively captured some aspect of the literacy landscape. However, they are now dated and there is a need for a taxonomy of literacies that meets the needs identified above. This paper proposes a taxonomy that meets these criteria.
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Yamada, Ichiro, Chikara Hashimoto, Jong-Hoon Oh, Kentaro Torisawa, Kow Kuroda, De Saeger Stijn, Masaaki Tsuchida, and Jun'ichi Kazama. "Generating Information-Rich Taxonomy Using Wikipedia." Journal of Natural Language Processing 19, no. 1 (2012): 3–23. http://dx.doi.org/10.5715/jnlp.19.3.

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Wexler, Philip, George Charles Fonger, Julian White, and Scott Weinstein. "Toxinology: Taxonomy, Interpretation, and Information Resources." Science & Technology Libraries 34, no. 1 (January 2, 2015): 67–90. http://dx.doi.org/10.1080/0194262x.2014.993788.

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14

Venter, H. S., and J. H. P. Eloff. "A taxonomy for information security technologies." Computers & Security 22, no. 4 (May 2003): 299–307. http://dx.doi.org/10.1016/s0167-4048(03)00406-1.

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15

Padayachee, Keshnee. "Taxonomy of compliant information security behavior." Computers & Security 31, no. 5 (July 2012): 673–80. http://dx.doi.org/10.1016/j.cose.2012.04.004.

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Tzitzikas, Yannis, Nicolas Spyratos, and Panos Constantopoulos. "Mediators over taxonomy-based information sources." VLDB Journal 14, no. 1 (March 2005): 112–36. http://dx.doi.org/10.1007/s00778-003-0119-8.

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Suomela, Riku, and Juha Lehikoinen. "Taxonomy for visualizing location-based information." Virtual Reality 8, no. 2 (June 2004): 71–82. http://dx.doi.org/10.1007/s10055-004-0139-8.

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18

Cagliero, Luca, and Paolo Garza. "Improving classification models with taxonomy information." Data & Knowledge Engineering 86 (July 2013): 85–101. http://dx.doi.org/10.1016/j.datak.2013.01.005.

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19

Marumo, Marumo Kedumetse. "The second Symposium held in February 2018 under the theme “Biodiversity Management - A Strategy for Sustainable Development and Climate Change Adaptation and Mitigation”." Botswana Journal of Agriculture and Applied Sciences 13, no. 2 (September 26, 2019): ii. http://dx.doi.org/10.37106/bojaas.2019.41.

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The Global Taxonomy Initiative (GTI) was developed by governments through the Convention on Biological Diversity (CBD) after acknowledging the existence of taxonomic impediment to the sound management of biodiversity. The main aim of the strategy is to develop the human resources and infrastructure necessary to generate, disseminate and use taxonomic knowledge and information in a manner that assists parties in effectively implementing the convention. The National Taxonomy Committee (NTC) is a committee mandated to drive the Global Taxonomy Initiative programme of work in Botswana.
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Patil, Sachin, and Kishore S. Rajput. "The genus Isoetes from India: An overview." Plant Science Today 4, no. 4 (December 11, 2017): 213–26. http://dx.doi.org/10.14719/pst.2017.4.4.339.

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The information regarding the Indian quillwort is reviewed herewith to highlight the taxonomy, history, distribution, phytogeography, morphology, phenology, chromosome count, numerical taxonomy and present taxonomic scenario of Indian species. Authors also reviewed the opinions of different researchers on doubtful species of Indian Isoetes.
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Neizvestny, Sergei Ivanovich. "On the use of taxonomy in the field of information technology." Transportation systems and technology 2, no. 1 (December 15, 2016): 89–111. http://dx.doi.org/10.17816/transsyst20162189-111.

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In many areas of scientific knowledge, the application of the taxonomy showed high efficiency in systematization and regularization of the initial data, processing, analysis and conclusions on the basis of which the construction of new knowledge. However, in the field of information technology (IT) system using the taxonomy, except for some fragmentary cases, weren’t observed. In this paper is drawn attention to scientific and methodological possibilities of the taxonomy in IT, describes the main approaches in applying the taxonomy in information technology, provides an example of a road map for the application of the taxonomy in information technology major companies, and also describes the role and functions of taxonomy in the corporate system of project management, given taxonomy metrics and indicators of the project portfolio. It is shown that the taxonomy as one of the main tools of self-regulation, synergy enterprises is an important tool for improving productivity and quality of business processes, development of institutional capacity. Author emphasizes the fundamental role of taxonomy in the process of goal setting and systematization of objective fulfillment of projects.
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22

Beckett, Chris. "Aggregators - a taxonomy." Serials: The Journal for the Serials Community 15, no. 3 (November 1, 2002): 257–60. http://dx.doi.org/10.1629/15257.

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23

Han, May Sabai. "Semantic Information Retrieval based on Wikipedia Taxonomy." International Journal of Computer Applications Technology and Research 2, no. 1 (February 10, 2012): 77–80. http://dx.doi.org/10.7753/ijcatr0201.1016.

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24

Singpurwalla, Nozer D. "Knowledge management and information superiority (a taxonomy)." Journal of Statistical Planning and Inference 115, no. 2 (August 2003): 361–64. http://dx.doi.org/10.1016/s0378-3758(02)00164-7.

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Skinner, Geoff, Song Han, and Elizabeth Chang. "An information privacy taxonomy for collaborative environments." Information Management & Computer Security 14, no. 4 (August 2006): 382–94. http://dx.doi.org/10.1108/09685220610690835.

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Shameli-Sendi, Alireza, Rouzbeh Aghababaei-Barzegar, and Mohamed Cheriet. "Taxonomy of information security risk assessment (ISRA)." Computers & Security 57 (March 2016): 14–30. http://dx.doi.org/10.1016/j.cose.2015.11.001.

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Primiero, Giuseppe. "A Taxonomy of Errors for Information Systems." Minds and Machines 24, no. 3 (March 5, 2013): 249–73. http://dx.doi.org/10.1007/s11023-013-9307-5.

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28

Woon, Wei Lee, and Stuart Madnick. "Asymmetric information distances for automated taxonomy construction." Knowledge and Information Systems 21, no. 1 (April 2, 2009): 91–111. http://dx.doi.org/10.1007/s10115-009-0203-5.

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JIAO, BO-HAN, LI-LI LU, CHEN CHEN, MENG WEI, JIA-HAO SHEN, YUAN YUAN, YU-FEI WANG, and TIAN-GANG GAO. "Evaluating the taxonomy of macrofossils used in macroevolution: a case study of Artemisia (Asteraceae)." Phytotaxa 572, no. 1 (November 8, 2022): 107–14. http://dx.doi.org/10.11646/phytotaxa.572.1.8.

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Fossils recorded information of the past phenotype and geographic distribution directly. Incorporating fossils information into phylogenies of living taxa would deepen our understanding of their macroevolution. Accurate taxonomy of these fossils is the first step before employing them. However, the taxonomy of some fossils has not been evaluated carefully. Here we take Artemisia as an example. We investigated the morphology of all the available Artemisia macrofossils based on the latest phylogeny and evaluated their taxonomic identities by comparing them with extant representative species. Our result showed that the taxonomic identities of these macrofossils are doubted. They would better not be treated as members of Artemisia for subsequent phylogenetic or biogeographic studies. This study improves our knowledge of the morphology of Artemisia, highlights the importance of careful morphological comparisons between fossils and living taxa, and reveals that attention should be given to the uncertainty of the fossil taxonomy.
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Das, Partha, and Bhupendra Kholia. "A selective study of online resources of information on Plant Taxonomy & Systematics: a new path of data flow to the users in the digital age." Indian Journal of Forestry 37, no. 4 (December 1, 2014): 445–55. http://dx.doi.org/10.54207/bsmps1000-2014-r5msa0.

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The paper describes the importance of plant taxonomy and classifies the various plant taxonomic databases. It tries to focus on some selective important online public domain databases of plant taxonomy and systematics which are becoming a new path of data flow to the plant taxonomists, botanists and researchers on biodiversity all over the world.
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Gotelli, Nicholas J. "A taxonomic wish–list for community ecology." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 359, no. 1444 (April 29, 2004): 585–97. http://dx.doi.org/10.1098/rstb.2003.1443.

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Community ecology seeks to explain the number and relative abundance of coexisting species. Four research frontiers in community ecology are closely tied to research in systematics and taxonomy: the statistics of species richness estimators, global patterns of biodiversity, the influence of global climate change on community structure, and phylogenetic influences on community structure. The most pressing needs for taxonomic information in community ecology research are usable taxonomic keys, current nomenclature, species occurrence records and resolved phylogenies. These products can best be obtained from Internet–based phylogenetic and taxonomic resources, but the lack of trained professional systematists and taxonomists threatens this effort. Community ecologists will benefit most directly from research in systematics and taxonomy by making better use of resources in museums and herbaria, and by actively seeking training, information and collaborations with taxonomic specialists.
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Page, Roderic D. M. "Wikidata and the bibliography of life." PeerJ 10 (July 7, 2022): e13712. http://dx.doi.org/10.7717/peerj.13712.

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Biological taxonomy rests on a long tail of publications spanning nearly three centuries. Not only is this literature vital to resolving disputes about taxonomy and nomenclature, for many species it represents a key source—indeed sometimes the only source—of information about that species. Unlike other disciplines such as biomedicine, the taxonomic community lacks a centralised, curated literature database (the “bibliography of life”). This article argues that Wikidata can be that database as it has flexible and sophisticated models of bibliographic information, and an active community of people and programs (“bots”) adding, editing, and curating that information.
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Gajdács, Márió. "Taxonomy and nomenclature of bacteria with clinical and scientific importance: current concepts for pharmacists and pharmaceutical scientists." Acta Pharmaceutica Hungarica 89, no. 4 (March 7, 2020): 99–108. http://dx.doi.org/10.33892/aph.2019.89.99-108.

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Taxonomy is the science of the classification of various living organisms consisting of three independent, but interrelated disciplines, namely classification, nomenclature and identification. With the advent of molecular biological methods and sequencing, a revolution is currently occurring with regards to the reporting of novel taxa and changes in the taxonomy of already described bacterial species. The applications of taxonomic changes can be broad ranging: they may impact the clinical care of patients, through variations in choosing the appropriate antimicrobial susceptibility testing standards or data interpretation, or even their clinical relevance and epidemiology. The aim of this paper was to aid healthcare professionals and pharmaceutical scientists to navigate through the ‘maze’ of bacterial taxonomy, and to aid in finding authentic information regarding the description of taxonomic changes and to present some examples of changes in bacterial taxonomy which have proven to be clinically significant.
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Pool, Johannes Hendrik, and Hein Venter. "A Harmonized Information Security Taxonomy for Cyber Physical Systems." Applied Sciences 12, no. 16 (August 12, 2022): 8080. http://dx.doi.org/10.3390/app12168080.

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Cyber physical systems (CPSs) are found in many aspects of daily life, and they control and protect energy production, manufacturing and even healthcare. Due to long lifecycles and the use of legacy technologies, its associated security comes with many challenges. Security taxonomies are useful to classify and communicate security-related information and elements. Despite the existence of numerous taxonomies, they are fragmentary, limited to only specific lifecycle phases or cover only specific aspects. A harmonized taxonomy must be applicable to all lifecycle phases of the CPS. This paper presents well-established taxonomies that are combined into a single comprehensive and harmonized taxonomy and allows application throughout the different lifecycle phases. Application of the taxonomy to real-world scenarios requires a consistent implementation methodology. The use of the harmonized taxonomy methodology is demonstrated by applying it to an actual incident case study. The taxonomy is used to identify information security gaps through its implementation in the industrial facility in question. The identified gaps are then addressed as part of the security lifecycle of the CPS. The harmonized taxonomy can be expanded to apply it to industries with specific requirements.
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Czechowski, Paul, Laurence Clarke, Alan Cooper, and Mark Stevens. "Ground-truthing Phylotype Assignments for Antarctic Invertebrates." DNA Barcodes 5, no. 1 (January 27, 2017): 1–13. http://dx.doi.org/10.1515/dna-2017-0001.

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AbstractBiodiversity information from Antarctic terrestrial habitats helps conservation efforts, but the distribution and diversity particularly of microinvertebrates remains poorly understood. Springtails, mites, tardigrades, nematodes and rotifers are difficult to identify using morphological features, hence DNA-based metabarcoding methods are well suited for their study. We compared taxonomy assignments of a high throughput sequencing metabarcoding approach using one ribosomal DNA (18S rDNA) and one mitochondrial DNA (cytochrome c oxidase subunit I - COI) marker with morphological reference data. Specifically, we compared metabarcoding or morphological taxonomic assignments on multiple taxonomic levels in an artificial DNA blend containing Australian invertebrates, and in seven extracts of Antarctic soils containing known micro-faunal taxa. Avoiding arbitrary application of metabarcoding analysis parameters, we calibrated those parameters with metabarcoding data from non-Antarctic soils. Metabarcoding approaches employing 18S rDNA and COI markers enabled detection of small and cryptic Antarctic invertebrates, and on low taxonomic ranks 18S data outperformed COI data in this respect. Morphological taxonomy determination did not outperform metabarcoding approaches. Our study demonstrates how barcoding markers can be tested prior to their application to specific taxonomic groups, and that taxonomy fidelity of markers needs to be validated in relation to environment, taxa, and available reference information.
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Ramasamy, Dhamodharan, Ajay Kumar Mishra, Jean-Christophe Lagier, Roshan Padhmanabhan, Morgane Rossi, Erwin Sentausa, Didier Raoult, and Pierre-Edouard Fournier. "A polyphasic strategy incorporating genomic data for the taxonomic description of novel bacterial species." International Journal of Systematic and Evolutionary Microbiology 64, Pt_2 (February 1, 2014): 384–91. http://dx.doi.org/10.1099/ijs.0.057091-0.

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Currently, bacterial taxonomy relies on a polyphasic approach based on the combination of phenotypic and genotypic characteristics. However, the current situation is paradoxical in that the genetic criteria that are used, including DNA–DNA hybridization, 16S rRNA gene sequence nucleotide similarity and phylogeny, and DNA G+C content, have significant limitations, but genome sequences that contain the whole genetic information of bacterial strains are not used for taxonomic purposes, despite the decreasing costs of sequencing and the increasing number of available genomes. Recently, we diversified bacterial culture conditions with the aim of isolating uncultivated bacteria. To classify the putative novel species that we cultivated, we used a polyphasic strategy that included phenotypic as well as genomic criteria (genome characteristics as well as genomic sequence similarity). Herein, we review the pros and cons of genome sequencing for taxonomy and propose that the incorporation of genome sequences in taxonomic studies has the advantage of using reliable and reproducible data. This strategy, which we name taxono-genomics, may contribute to the taxonomic classification of bacteria.
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Fuentes, Daniel, and Nicola Fiore. "A Taxonomic Service for Species Identification." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 5 (January 30, 2014): 3496–99. http://dx.doi.org/10.24297/ijct.v12i5.2920.

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Taxonomy is the science of discovering, classifying and categorizing organisms into groups. Names are given to species when they are recognized for ecology, potential hazards or just for human culture and admiration. However, current problems such as the high diversity of species, the hundreds of publications in which species are described and the lack of a single authoritative world register routine for the definition of the taxa cause frequent confusion in the taxonomy identification. In this paper, we propose a method to automatically extract, integrate and represent species taxonomy information from the main relevant biodiversity catalogues for its comparison and studio. Consequently, the time for information analysis is reduced and taxonomic nomenclature errors are avoided, which are essential for some biology areas of knowledge.
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Husamaldin, Laden, and Nagham Saeed. "Big Data Analytics Correlation Taxonomy." Information 11, no. 1 (December 25, 2019): 17. http://dx.doi.org/10.3390/info11010017.

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Big data analytics (BDA) is an increasingly popular research area for both organisations and academia due to its usefulness in facilitating human understanding and communication. In the literature, researchers have focused on classifying big data according to data type, data security or level of difficulty, and many research papers reveal that there is a lack of information on evidence of a real-world link of big data analytics methods and its associated techniques. Thus, many organisations are still struggling to realise the actual value of big data analytic methods and its associated techniques. Therefore, this paper gives a design research account for formulating and proposing a step ahead to understand the relation between the analytical methods and its associated techniques. Furthermore, this paper is an attempt to clarify this uncertainty and identify the difference between analytics methods and techniques by giving clear definitions for each method and its associated techniques to integrate them later in a new correlation taxonomy based on the research approaches. Thus, the primary outcome of this research is to achieve for the first time a correlation taxonomy combining analytic methods used for big data and its recommended techniques that are compatible for various sectors. This investigation was done through studying various descriptive articles of big data analytics methods and its associated techniques in different industries.
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Shimura, Junko, and Kaduo Hiraki. "Global taxonomy initiative: Building capacity in taxonomy to underpin the conservation of biological diversity." Microbiology Australia 27, no. 1 (2006): 16. http://dx.doi.org/10.1071/ma06016.

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The Global Taxonomy Initiative (GTI) is across cutting issue of the United Nations Convention on Biological Diversity (CBD) to address the lack of taxonomic information and expertise available in many parts of the world, and thereby to improve decision making in conservation, sustainable use and equitable sharing of the benefits derived from genetic resources.
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40

Rozhkov, V. A. "ON AN INFORMATION APPROACH TO SOIL CLASSIFICATION." Dokuchaev Soil Bulletin, no. 69 (June 30, 2012): 4–24. http://dx.doi.org/10.19047/0136-1694-2012-69-4-24.

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Under discussion are concepts of a new universal scientific discipline - informaciology, its principles, methods and approaches to elaborating the soil classifications. A formalized definition of the classification concept is given as a knowledge-based one in information systems. From viewpoint of classiology the concept of classification is of two kinds by nature being subdivided into taxonomy and meronomy. Taxonomy assumes the relationship between any classification object and a lot formed by it, whereas meronomy - the relationship of the total object to its parts. Accordingly relationships of equivalence in taxonomy and tolerance in meronomy are used. A structural-functional scheme of the system is presented to realize an information approach to soil classification.
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Sancho-Chavarria, Lilliana, Fabian Beck, Daniel Weiskopf, and Erick Mata-Montero. "Task-based assessment of visualization tools for the comparison of biological taxonomies." Research Ideas and Outcomes 4 (April 12, 2018): e25742. http://dx.doi.org/10.3897/rio.4.e25742.

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Maintenance and curation of large-sized biological taxonomies are complex and laborious activities. Information visualization systems use interactive visual interfaces to facilitate analytical reasoning on complex information. Several approaches such as treemaps, indented lists, cone trees, radial trees, and many others have been used to visualize and analyze a single taxonomy. In addition, methods such as edge drawing, animation, and matrix representations have been used for comparing trees. Visualizing similarities and differences between two or more large taxonomies is harder than the visualization of a single taxonomy. On one hand, less space is available on the screen to display each tree; on the other hand, differences should be highlighted. The comparison of two alternative taxonomies and the analysis of a taxonomy as it evolves over time provide fundamental information to taxonomists and global initiatives that promote standardization and integration of taxonomic databases to better document biodiversity and support its conservation. In this work we assess how ten user visualization tasks for the curation of biological taxonomies are supported by several visualization tools. Tasks include the identification of conditions such as congruent taxa, splits, merges, and new species added to a taxonomy. We consider tools that have gone beyond the prototype stage, that have been described in peer-reviewed publications, or are in current use. We conclude with the identification of challenges for future development of taxonomy comparison tools.
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Vital, Luciane Paula. "Taxonomia como elemento estruturante em portais corporativos." RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação 9, no. 2 (January 6, 2012): 25. http://dx.doi.org/10.20396/rdbci.v9i2.1908.

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Este trabalho busca discutir os objetivos e requisitos necessários a um portal corporativo e de que forma a construção de uma taxonomia possibilita atingi-los, configurando-se em um modelo de representação da informação e do conhecimento nesse contexto. Apresenta a evolução das intranets em direção aos portais, construindo um ponto de acesso comum as informações organizacionais. Apresenta uma revisão sobre as funcionalidades que um portal corporativo deve apresentar. Conceitua e caracteriza os diferentes tipos de taxonomia e a forma com que organiza e representa a informação. Por fim, apresenta a taxonomia como ferramenta para a determinação de categorias conceituais e de relacionamentos semânticos de uma área, assim como, da estrutura navegacional, permitindo qualificar o processo de recuperação da informação.Abstract This article discusses the objectives and requirements necessary for a corporate portal and how to build a taxonomy allows for to reach them, becoming a model of representation information and knowledge in this context. Shows the evolution of intranets into the portal, building a common access point to information organizational. Presents an overview of the features that an enterprise portal should present. Conceptualizes and describes the different types of taxonomy and the way it organizes and represents information. Finally, the taxonomy as a tool for determining the conceptual categories and semantic relationships of an area, as well as the navigational structure, allowing the process to qualify for retrieval.
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Sánchez-Hernández, Javier. "Taxonomy-based differences in feeding guilds of fish." Current Zoology 66, no. 1 (April 2, 2019): 51–56. http://dx.doi.org/10.1093/cz/zoz015.

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Abstract It has been taken for granted that feeding guilds and behavior in animals are linked to the taxonomic relatedness of species, but empirical evidence supporting such relationship is virtually missing. To examine the importance of taxonomy on trophic ecology, I here present the first well-resolved dietary taxonomy analysis based on feeding guilds (predation, herbivory, and filtering) among families and genera within the fish order Perciformes. Taxonomic relatedness in feeding did not vary with ecosystem dimension (marine vs. freshwater). Although predation dominates among Perciformes fishes, this study shows that in most cases taxonomic units (family or genus) are composed by species with several feeding guilds. Related species are more similar in feeding compared with species that are taxonomically more distant, demonstrating that there is a greater variation of feeding guilds within families than genera. Thus, there is no consistency in feeding guilds between family- and genus-level taxonomy. This study provides empirical support for the notion that genera are more informative than families, underlining that family-level taxonomy should be avoided to infer feeding habits of fish species at finer taxonomic resolution. Thus, the choice of taxonomic resolution (family or genus level) in ecological studies is key to avoid information loss and misleading results. I conclude that high-rank taxonomic units (i.e., above the generic level) are not appropriate to test research hypotheses about the feeding of fish.
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Canfora, Gerardo, and Luigi Cerulo. "A Taxonomy of Information Retrieval Models and Tools." Journal of Computing and Information Technology 12, no. 3 (2004): 175. http://dx.doi.org/10.2498/cit.2004.03.01.

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Chen, Kejun, Xiaolong Guo, Qingxu Deng, and Yier Jin. "Dynamic Information Flow Tracking: Taxonomy, Challenges, and Opportunities." Micromachines 12, no. 8 (July 29, 2021): 898. http://dx.doi.org/10.3390/mi12080898.

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Dynamic information flow tracking (DIFT) has been proven an effective technique to track data usage; prevent control data attacks and non-control data attacks at runtime; and analyze program performance. Therefore, a series of DIFT techniques have been developed recently. In this paper, we summarize the current DIFT solutions and analyze the features and limitations of these solutions. Based on the analysis, we classify the existing solutions into three categories, i.e., software, hardware, software and hardware co-design. We discuss the DIFT design from the perspective of whole system and point out the limitations of current DIFT frameworks. Potential enhancements to these solutions are also presented. Furthermore, we present suggestions about the possible future direction of DIFT solutions so that DIFT can help improve security levels.
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Ellis, G., and A. Dix. "A Taxonomy of Clutter Reduction for Information Visualisation." IEEE Transactions on Visualization and Computer Graphics 13, no. 6 (November 2007): 1216–23. http://dx.doi.org/10.1109/tvcg.2007.70535.

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Chuang, Shui‐Lung, and Lee‐Feng Chien. "Automatic query taxonomy generation for information retrieval applications." Online Information Review 27, no. 4 (August 2003): 243–55. http://dx.doi.org/10.1108/14684520310489032.

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Vanpoucke, Evelyne, Kenneth K. Boyer, and Ann Vereecke. "Supply chain information flow strategies: an empirical taxonomy." International Journal of Operations & Production Management 29, no. 12 (November 13, 2009): 1213–41. http://dx.doi.org/10.1108/01443570911005974.

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Dixit, Ashutosh, Thomas W. Whipple, George M. Zinkhan, and Edward Gailey. "A taxonomy of information technology-enhanced pricing strategies." Journal of Business Research 61, no. 4 (April 2008): 275–83. http://dx.doi.org/10.1016/j.jbusres.2007.03.007.

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Mentzas, G. "A functional taxonomy of computer-based information systems." International Journal of Information Management 14, no. 6 (December 1994): 397–410. http://dx.doi.org/10.1016/0268-4012(94)90015-9.

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