11. Taxonomy, Partonomy, and Ontology

Total Page:16

File Type:pdf, Size:1020Kb

11. Taxonomy, Partonomy, and Ontology 11. Taxonomy, Partonomy, and Ontology Classifying entities and discerning part-whole relations belong to the normal activity of everyday life. As soon as we describe a particular thing, we are classifying it, and as soon as we enter a house or a town, we are dividing it into parts. Such ordinary classifications and partitions have a practical purpose, and the classification and partition schemas used need not be systematic. In science, however, unsystematic classification schemas are often developed into well structured and principled general taxonomies such as the classic biological taxonomies of plants and animals. Similarly, parts and their positions in larger wholes are systematized by science into partonomies such as the anatomy of the human body and the double helix structure of the gene. 11.1 What is it that we classify and partition? In Chapters 2 and 3, we talked a little about the scientific revolution of the seventeenth century. In taxonomy (the science of classification), the revolution occurred in the eighteenth century. The Swedish botanist and zoologist Linnaeus (Carl von Linné, 1707-1778) is often regarded as the creator of modern taxonomy, with Aristotle as its ancient founding father. During medieval times, alchemists made extensive classifications of chemical substances, and herbalists made the same with respect to plants, but in neither case was a real taxonomy created. This is probably because the alchemists and the herbalists were too practically minded. With the advent of modern chemistry and botany things changed. Better organized taxonomies were created, and helped to speed up subsequent scientific development. But with the recent information explosion and the advent of the computer revolution, scientific work with the construction of taxonomies and partonomies has taken on quite a new dimension. A new stage in the need for taxonomic classifications seems to have been reached. In new disciplines such as medical informatics, bioinformatics, genomics, proteomics, and a range of similar disciplines, classificatory issues play a prominent role. 402 11.1.1 Classification of particulars and classification of classes There are two clearly distinct kinds of classifications: classifications of particulars (e.g., ‘this is a lion’, ‘this is a case of measles’, and ‘this is an example of turquoise blue’) and classifications of classes (e.g., ‘the lion is a mammal’, ‘measles is a virus disease’, and ‘turquoise blue is a color’). The term ‘particular’ is in this chapter meant to cover all cases where we normally speak of spatiotemporally specific persons, spatiotemporally specific things, or spatiotemporally specific instances of a property. Traditional taxonomies of plants, animals, and diseases are classifications of classes, whereas patient diaries and modern electronic health records rest on classifications of particulars (persons). Assertions by means of which we classify particulars – such as ‘this is a lion’, ‘this is a case of measles’, and ‘this is an example of turquoise blue’ – are worth making because the animal could have been of another kind, the patient could have had a different disease or no disease at all, and the colored object could have been of a different color. To describe a particular in front of us is to convey information about this particular by means of a classificatory term. Subject-predicate sentences such as ‘this lion is somewhat brown’ contain two classifications: one for what falls under the subject term (‘being a lion’), and one for what falls under the predicate term (‘being somewhat brown’). Implicitly, there is a classification also when we describe something negatively, as in ‘this is not a lion’, ‘he does not have the measles’, and ‘this is not turquoise blue’. In the first case, we are implicitly conveying the view that there is an animal, in the second that the person in question has either no disease at all or a disease of some other kind, and in the third that the object in question is of some other color. It seems impossible to talk about particulars without using classificatory terms. Even when we merely name something, as in the utterance ‘his name is Fido’, the context does normally indicate a classification. In this case, what is named is probably to be classified as a dog; the speaker could equally well have said ‘the name of this dog is Fido’. Such implicit classifications are necessary for communication. An utterance containing a pure ‘this’, e.g., the utterance ‘this has the name Fido’, cannot in itself possibly pick out anything in the world. Why? Since one would then not have any clue as to what the ‘this’ might refer to. The world contains at any moment an innumerable number of possible referents. Cut loose from 403 all classifications, the word ‘this’ has no communicative function at all, and the same goes for pure names. (In some corners of philosophy, especially those linked to Saul Kripke (b. 1940), there is much talk about a kind of pure names called ‘rigid designators’; but such a designator is always introduced by a ‘description used to fix its reference’.) Assertions by means of which we classify classes – such as ‘the lion is a mammal’, ‘measles is a virus disease’, and ‘turquoise blue is a color’ – are worth making because it is often possible and expedient to convey in one stroke information about whole collections of particulars. All the three examples above have the linguistic form ‘A is B’ (in informatics, it is often written ‘A is_a B’), and should in what follows be read ‘the class A belongs as a subclass to the class B’ or ‘the class B subsumes class A’. One connection between classifications of classes and classifications of particulars is the necessity that if (i) class A belongs to class B, and (ii) a certain particular is classified as being an A, then (iii) it has to be classified as being a B, too. Necessarily, if Leo is a lion, and lions are mammals, then Leo is a mammal; if patient Joan has the measles, and measles is a viral disease, then patient Joan has a viral disease; if this spot is turquoise blue, and turquoise blue is a color, then this spot is colored. So far, so simple; but what then do we more precisely mean by ‘class’? First, the term must not be conflated with the more specific biological term ‘class’ that occurs in the hierarchy of biological taxa: ‘species’, ‘genus’, ‘family’, ‘order’, ‘class’, ‘phylum’, ‘kingdom’. Second, neither should it be conflated with the broader term ‘class’ that is used in some programming languages. The general concept of ‘class’ is today normally defined (e.g., in Wikipedia, spring 2007) as follows: • class =def. a collection of entities between which there are similarity relations. This general definition being accepted, there is much to say about how different kinds of similarity relations constitute different kinds of classes. We will only talk about classes of spatiotemporal particulars (not about classes of abstract objects such as ‘the class of prime numbers’), but the term ‘class’ will here never be used to refer to spatially or temporally bounded collections. A class in our sense has, in contradistinction to 404 bounded collections such as ‘the lions in the Copenhagen zoo’, ‘the hitherto living dinosaurs’, or ‘measles patients in the year 2000’, no predetermined limits in space and/or time. The class of lions, the class of patients, and the class of blue property instances are open in the sense that if a new lion is born, a person suddenly becomes a patient, and something is painted blue, then these individuals and instances are automatically members of the corresponding classes. Conversely, if, for example, the lion species becomes extinct, it still makes good sense to talk of the class of lions. (To those familiar with set theory, we have to add that classes cannot be identified with sets in the way that sets are defined in standard set theory. One reason for this is that there is only one ‘empty set’, i.e., a set without a member, but there are many ‘empty classes’. For example, ‘the class of mermaids’ and ‘the class of offspring of two mules’ are two different empty classes, but ‘the set of mermaids’ and ‘the set of offspring of two mules’ is one and the same set: the empty set.) When we are classifying we are using classificatory terms and the concepts that come with the terms, but we are nonetheless classifying the classes that the concepts refer to. A concept is for us, to make this clear, merely the meaning that a term shares with synonymous terms. People often and easily conflate the use of terms and concepts in taxonomies with talk about these terms and concepts. Certainly, terms and concepts are talked about and classified in linguistics. But in all other traditional empirical sciences the terms and concepts are used in order to classify what they refer to, their referents. Because of this unhappy conflation of ‘using terms’ and ‘talking about terms’, we must spend some time on the relationship between language (terms and concepts) and reality (classes of particulars), as this relationship is not always as straightforward as it may appear to the un-philosophical eye. What, for instance, do we classify when we classify classes of cells as being ‘epithelial’ and ‘neural’, respectively? There are not only two logically possible answers to this question: that we either classify only the concepts ‘epithelial cell’ and ‘neural cell’, or we must have an ability to see directly and to carve, infallibly, nature at the joint where the class of epithelial cells is distinguished from the class of neural cells. Since the realist fallibilism we have defended (Chapter 3.5) applies to taxonomy, 405 informatics, and the information sciences, both these answers are ruled out.
Recommended publications
  • Quantum in the Cloud: Application Potentials and Research Opportunities
    Quantum in the Cloud: Application Potentials and Research Opportunities Frank Leymann a, Johanna Barzen b, Michael Falkenthal c, Daniel Vietz d, Benjamin Weder e and Karoline Wild f Institute of Architecture of Application Systems, University of Stuttgart, Universitätsstr. 38, Stuttgart, Germany Keywords: Cloud Computing, Quantum Computing, Hybrid Applications. Abstract: Quantum computers are becoming real, and they have the inherent potential to significantly impact many application domains. We sketch the basics about programming quantum computers, showing that quantum programs are typically hybrid consisting of a mixture of classical parts and quantum parts. With the advent of quantum computers in the cloud, the cloud is a fine environment for performing quantum programs. The tool chain available for creating and running such programs is sketched. As an exemplary problem we discuss efforts to implement quantum programs that are hardware independent. A use case from machine learning is outlined. Finally, a collaborative platform for solving problems with quantum computers that is currently under construction is presented. 1 INTRODUCTION Because of this, the overall algorithms are often hybrid. They perform parts on a quantum computer, Quantum computing advanced up to a state that urges other parts on a classical computer. Each part attention to the software community: problems that performed on a quantum computer is fast enough to are hard to solve based on classical (hardware and produce reliable results. The parts executed on a software) technology become tractable in the next classical computer analyze the results, compute new couple of years (National Academies, 2019). parameters for the quantum parts, and pass them on Quantum computers are offered for commercial use to a quantum part.
    [Show full text]
  • Taxonomy Development for Knowledge Management
    Date : 24/07/2008 Taxonomy Development for Knowledge Management Mary Whittaker Librarian Boeing Library Services The Boeing Company PO Box 3707 M/C 62-LC Seattle WA 98124 +1-425-306-2086 +1-425-965-0119 [email protected] Kathryn Breininger Manager Boeing Reports Management Services The Boeing Company PO Box 3707 M/C 62-LC Seattle WA 98124 +1-425-965-0242 +1-425-512-4281 [email protected] Meeting: 138 Knowledge Management Simultaneous Interpretation: English, Arabic, Chinese, French, German, Russian and Spanish WORLD LIBRARY AND INFORMATION CONGRESS: 74TH IFLA GENERAL CONFERENCE AND COUNCIL 10-14 August 2008, Québec, Canada http://www.ifla.org/IV/ifla74/index.htm Abstract As librarians and information professionals, we are faced with solving a growing information overload problem. We strive to connect end users with the information they need. How can we better connect searchers to the vast amount of information to be found on the web? Information management principles and practices, taxonomies, and other controlled vocabularies serve as knowledge management tools that we can use to help organize content and make connections between people and the information they need. This paper focuses on the processes associated with taxonomy development, including how to determine the requirements, how to identify concepts, and how to develop a draft taxonomy. It also covers techniques for validating a taxonomy, processes for incorporating changes within a taxonomy, applying a taxonomy to content, and methods for maintaining a taxonomy over time. Throughout the paper, best practices associated with these process steps are highlighted. Page 1 Introduction Information overload continues to be a challenge for our end users.
    [Show full text]
  • Study of ADB's Knowledge Taxonomy
    A Study of ADB's Knowledge Taxonomy Final Report Arnaldo Pellini and Harry Jones March 2011 Knowledge Management Center Regional and Sustainable Development Department The views expressed in this report are those of the author/s and do not necessarily reflect the views or policies of the Asian Development Bank, or its Board of Governors, or the governments they represent. ADB does not guarantee the accuracy of the data included in this report and accepts no responsibility for any consequence of their use. The countries listed in this publication do not imply any view on ADB's part as to sovereignty or independent status or necessarily conform to ADB's terminology. Contents List of Figures ii Abbreviations ii EXECUTIVE SUMMARY iii I. INTRODUCTION 1 A. Purpose and Design of the Study 2 B. Study Questions and Methodology 2 II. KEY FINDINGS 3 A. Finding from the Literature Review 3 1. Taxonomy Structures 4 2. Taxonomy Development 8 B. Main Findings of the Study 8 1. Learning Issues: What is the need for ADB taxonomies? 10 2. Learning Dynamics: Opportunities and Constraints for Taxonomy Development 13 3. Potential Avenues for Taxonomy Development 17 III. CONCLUSIONS AND RECOMMENDATIONS 20 IV. REFERENCES 23 APPENDIXES INTERVIEWEE INFORMATION 24 SEMI-STRUCTURED QUESTIONS 25 RESPONSES TO THE ONLINE QUESTIONNAIRE 26 COMPARATOR ORGANIZATIONS 36 ii List of Figures Figure 1: List Structure 4 Figure 2: Tree Structure 5 Figure 3: Hierarchy Structure 5 Figure 4: Polyhierarchy Structure 6 Figure 5: Two-Dimensional Matrix Structure 6 Figure 6: Faceted Taxonomy 7 Figure 7: System Map 7 Figure 8: Project Governance Structure 20 Abbreviations CoP Community of practice IT Information technology OIST Office of Information Systems and Technology RSDD Regional and Sustainable Development Department iii EXECUTIVE SUMMARY In September 2010, the Overseas Development Institute was tasked by the Knowledge Management Center in the Regional and Sustainable Development Department in ADB to conduct a study of ADB's knowledge taxonomy.
    [Show full text]
  • Ontology and Information Systems
    Ontology and Information Systems 1 Barry Smith Philosophical Ontology Ontology as a branch of philosophy is the science of what is, of the kinds and structures of objects, properties, events, processes and relations in every area of reality. ‘Ontology’ is often used by philosophers as a synonym for ‘metaphysics’ (literally: ‘what comes after the Physics’), a term which was used by early students of Aristotle to refer to what Aristotle himself called ‘first philosophy’.2 The term ‘ontology’ (or ontologia) was itself coined in 1613, independently, by two philosophers, Rudolf Göckel (Goclenius), in his Lexicon philosophicum and Jacob Lorhard (Lorhardus), in his Theatrum philosophicum. The first occurrence in English recorded by the OED appears in Bailey’s dictionary of 1721, which defines ontology as ‘an Account of being in the Abstract’. Methods and Goals of Philosophical Ontology The methods of philosophical ontology are the methods of philosophy in general. They include the development of theories of wider or narrower scope and the testing and refinement of such theories by measuring them up, either against difficult 1 This paper is based upon work supported by the National Science Foundation under Grant No. BCS-9975557 (“Ontology and Geographic Categories”) and by the Alexander von Humboldt Foundation under the auspices of its Wolfgang Paul Program. Thanks go to Thomas Bittner, Olivier Bodenreider, Anita Burgun, Charles Dement, Andrew Frank, Angelika Franzke, Wolfgang Grassl, Pierre Grenon, Nicola Guarino, Patrick Hayes, Kathleen Hornsby, Ingvar Johansson, Fritz Lehmann, Chris Menzel, Kevin Mulligan, Chris Partridge, David W. Smith, William Rapaport, Daniel von Wachter, Chris Welty and Graham White for helpful comments.
    [Show full text]
  • History of Taxonomy
    History of Taxonomy The history of taxonomy dates back to the origin of human language. Western scientific taxonomy started in Greek some hundred years BC and are here divided into prelinnaean and postlinnaean. The most important works are cited and the progress of taxonomy (with the focus on botanical taxonomy) are described up to the era of the Swedish botanist Carl Linnaeus, who founded modern taxonomy. The development after Linnaeus is characterized by a taxonomy that increasingly have come to reflect the paradigm of evolution. The used characters have extended from morphological to molecular. Nomenclatural rules have developed strongly during the 19th and 20th century, and during the last decade traditional nomenclature has been challenged by advocates of the Phylocode. Mariette Manktelow Dept of Systematic Biology Evolutionary Biology Centre Uppsala University Norbyv. 18D SE-752 36 Uppsala E-mail: [email protected] 1. Pre-Linnaean taxonomy 1.1. Earliest taxonomy Taxonomy is as old as the language skill of mankind. It has always been essential to know the names of edible as well as poisonous plants in order to communicate acquired experiences to other members of the family and the tribe. Since my profession is that of a systematic botanist, I will focus my lecture on botanical taxonomy. A taxonomist should be aware of that apart from scientific taxonomy there is and has always been folk taxonomy, which is of great importance in, for example, ethnobiological studies. When we speak about ancient taxonomy we usually mean the history in the Western world, starting with Romans and Greek. However, the earliest traces are not from the West, but from the East.
    [Show full text]
  • Plant Nomenclature and Taxonomy an Horticultural and Agronomic Perspective
    3913 P-01 7/22/02 4:25 PM Page 1 1 Plant Nomenclature and Taxonomy An Horticultural and Agronomic Perspective David M. Spooner* Ronald G. van den Berg U.S. Department of Agriculture Biosystematics Group Agricultural Research Service Department of Plant Sciences Vegetable Crops Research Unit Wageningen University Department of Horticulture PO Box 8010 University of Wisconsin 6700 ED Wageningen 1575 Linden Drive The Netherlands Madison Wisconsin 53706-1590 Willem A. Brandenburg Plant Research International Wilbert L. A. Hetterscheid PO Box 16 VKC/NDS 6700 AA, Wageningen Linnaeuslaan 2a The Netherlands 1431 JV Aalsmeer The Netherlands I. INTRODUCTION A. Taxonomy and Systematics B. Wild and Cultivated Plants II. SPECIES CONCEPTS IN WILD PLANTS A. Morphological Species Concepts B. Interbreeding Species Concepts C. Ecological Species Concepts D. Cladistic Species Concepts E. Eclectic Species Concepts F. Nominalistic Species Concepts *The authors thank Paul Berry, Philip Cantino, Vicki Funk, Charles Heiser, Jules Janick, Thomas Lammers, and Jeffrey Strachan for review of parts or all of our paper. Horticultural Reviews, Volume 28, Edited by Jules Janick ISBN 0-471-21542-2 © 2003 John Wiley & Sons, Inc. 1 3913 P-01 7/22/02 4:25 PM Page 2 2 D. SPOONER, W. HETTERSCHEID, R. VAN DEN BERG, AND W. BRANDENBURG III. CLASSIFICATION PHILOSOPHIES IN WILD AND CULTIVATED PLANTS A. Wild Plants B. Cultivated Plants IV. BRIEF HISTORY OF NOMENCLATURE AND CODES V. FUNDAMENTAL DIFFERENCES IN THE CLASSIFICATION AND NOMENCLATURE OF CULTIVATED AND WILD PLANTS A. Ambiguity of the Term Variety B. Culton Versus Taxon C. Open Versus Closed Classifications VI. A COMPARISON OF THE ICBN AND ICNCP A.
    [Show full text]
  • Bibliometric Analysis of the Plant Taxonomy Journal Nelumbo, 2004-2011
    International Journal of Library and Information Studies ISSN: 2231-4911 Vol.2(4), Oct-Dec, 2012 BIBLIOMETRIC ANALYSIS OF THE PLANT TAXONOMY JOURNAL NELUMBO, 2004-2011 Hemanta Kumar Das Botanical Survey of India, ERC, Shillong-793003, India Mobile:+91-9436312552 [email protected] ABSTRACT This study carried out a bibliometric analysis of 210 papers and 2999 citations published in the journal Nelumbo published by the of Botanical Survey of India for the period 2004 to 2011.Yearwise distribution of contributions in their different volumes, authorship pattern, degree of collaboration, length of papers, citation pattern, average citation per contribution per volume, type of documents and their citations, subject- wise distribution of papers, rank list of cited journals, ranking of contributors have been studied. Joint authorship pattern comes 74.76% which is higher than single authorship pattern. Out of 2999 citations maximum 52.59% are from journals. Number of papers on New Record comes in first place with 20%.The Journal of Hattori Botany Lab. Comes in top in journal rank study which is a foreign journal followed by two Indian journals i.e. Journal of Economic and Taxonomic Botany and the studied journal Nelumbo respectively. Keywords: Bibliometric analysis, study; Nelumbo; Bulletin of Botanical Survey of India. INTRODUCTION A bibliometric study for a journal is very essential to evaluate the journal and find out year- wise distribution of papers, authorship pattern, citation pattern, length of papers, institution- distribution of papers etc. In 1969 Prichard first coined the term bibliometrics. There are various bibliometric studies has been made in a single journal time to time.
    [Show full text]
  • Nomenclature and Taxonomy
    c01.qxd 8/18/03 4:06 PM Page 5 1 NOMENCLATURE AND TAXONOMY Nomenclature (Scientific ● Common) When casually discussing nature, whether verbally or in print, we typi- cally use pretty informal language. Simple, everyday terms for plants and animals are more than adequate for expressing ourselves. We do not talk about Malus and Citrus sinensis (taxonomic terms) when referring to apples and oranges because it is simply not effective communication. However, we do use such terms when we want to make specific scientific distinctions—say, between the prairie crab apple, which botanists identify as Malus ioensis, and the sweet crab apple, which they have designated Malus coronaria. Because this book deals with differences, many of them technical and somewhat detailed, the reader will encounter quite a few such scientific names, some of which may appear not only needlessly elaborate but also virtually unpronounceable—although nothing as tongue twisting as Paracoccidioides brasilensis, a lung-infecting fungus, or Brachyta inter- rogationis interrogationis var. nigrohumeralisscutellohumeroconjuncta, a longhorn beetle. As for pronunciation, unless one really feels that the word will be used in conversation, there is no need to be concerned with “getting it right.” But why does science eschew common names and instead encumber itself with such a seemingly inexplicable vocabulary? Because, in part, “common” does not necessarily mean “universal.” What may be an organism’s common name in one part of the country may be quite dif- ferent in another, making any initial exchange of information suspect. For example, in the Midwest the thirteen-lined ground squirrel (Spermophilus tridecemlineatus) is commonly, but mistakenly, called a gopher, which is 5 c01.qxd 8/18/03 4:06 PM Page 6 6 This Is Not a Weasel really the rightful name of a much larger rodent (Geomys bursarius).
    [Show full text]
  • Enterprise Architecture Management: Toward a Taxonomy of Applications Fatemeh Rahimi Technical University of Denmark, [email protected]
    Communications of the Association for Information Systems Volume 40 Article 7 4-2017 Enterprise Architecture Management: Toward a Taxonomy of Applications Fatemeh Rahimi Technical University of Denmark, [email protected] John Gøtze IT University of Copenhagen Charles Møller Aalborg University Follow this and additional works at: http://aisel.aisnet.org/cais Recommended Citation Rahimi, Fatemeh; Gøtze, John; and Møller, Charles (2017) "Enterprise Architecture Management: Toward a Taxonomy of Applications," Communications of the Association for Information Systems: Vol. 40 , Article 7. DOI: 10.17705/1CAIS.04007 Available at: http://aisel.aisnet.org/cais/vol40/iss1/7 This material is brought to you by the Journals at AIS Electronic Library (AISeL). It has been accepted for inclusion in Communications of the Association for Information Systems by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact [email protected]. ommunications of the C ssociation for nformation ystems A I S Research Paper ISSN: 1529-3181 Enterprise Architecture Management: Toward a Taxonomy of Applications Fatemeh Rahimi Technical University of Denmark Management Science Denmark [email protected] John Gøtze Charles Møller IT University of Copenhagen Aalborg University Denmark Center for Industrial Production Denmark Abstract: Despite the growing interest in enterprise architecture management, researchers and practitioners lack a shared understanding of its applications in organizations. Building on findings from a literature review and eight case studies, we develop a taxonomy that categorizes applications of enterprise architecture management based on three classes of enterprise architecture scope. Organizations may adopt enterprise architecture management to help form, plan, and implement IT strategies; help plan and implement business strategies; or to further complement the business strategy-formation process.
    [Show full text]
  • Ontology for Information Systems (O4IS) Design Methodology Conceptualizing, Designing and Representing Domain Ontologies
    Ontology for Information Systems (O4IS) Design Methodology Conceptualizing, Designing and Representing Domain Ontologies Vandana Kabilan October 2007. A Dissertation submitted to The Royal Institute of Technology in partial fullfillment of the requirements for the degree of Doctor of Technology . The Royal Institute of Technology School of Information and Communication Technology Department of Computer and Systems Sciences IV DSV Report Series No. 07–013 ISBN 978–91–7178–752–1 ISSN 1101–8526 ISRN SU–KTH/DSV/R– –07/13– –SE V All knowledge that the world has ever received comes from the mind; the infinite library of the universe is in our own mind. – Swami Vivekananda. (1863 – 1902) Indian spiritual philosopher. The whole of science is nothing more than a refinement of everyday thinking. – Albert Einstein (1879 – 1955) German-Swiss-U.S. scientist. Science is a mechanism, a way of trying to improve your knowledge of na- ture. It’s a system for testing your thoughts against the universe, and seeing whether they match. – Isaac Asimov. (1920 – 1992) Russian-U.S. science-fiction author. VII Dedicated to the three KAs of my life: Kabilan, Rithika and Kavin. IX Abstract. Globalization has opened new frontiers for business enterprises and human com- munication. There is an information explosion that necessitates huge amounts of informa- tion to be speedily processed and acted upon. Information Systems aim to facilitate human decision-making by retrieving context-sensitive information, making implicit knowledge ex- plicit and to reuse the knowledge that has already been discovered. A possible answer to meet these goals is the use of Ontology.
    [Show full text]
  • Studying Taxonomy Enrichment on Diachronic Wordnet Versions
    Studying Taxonomy Enrichment on Diachronic WordNet Versions Irina Nikishinaz, Alexander Panchenkoz, Varvara Logachevaz, and Natalia Loukachevitchy zSkolkovo Institute of Science and Technology, Moscow, Russia yResearch Computing Center, Lomonosov Moscow State University, Moscow, Russia fIrina.Nikishina,A.Panchenko,[email protected] louk [email protected] Abstract Ontologies, taxonomies, and thesauri are used in many NLP tasks. However, most studies are focused on the creation of these lexical resources rather than the maintenance of the existing ones. Thus, we address the problem of taxonomy enrichment. We explore the possibilities of taxonomy extension in a resource-poor setting and present methods which are applicable to a large number of languages. We create novel English and Russian datasets for training and evaluating taxonomy enrichment models and describe a technique of creating such datasets for other languages. 1 Introduction Nowadays, construction and maintenance of lexical resources (ontologies, knowledge bases, thesauri) have become essential for the NLP community. In particular, enriching the most acknowledged lexi- cal databases like WordNet (Miller, 1998) and its variants for almost 50 languages1 or collaboratively created lexical resources such as Wiktionary is crucial. Resources of this kind are widely used in mul- tiple NLP tasks: Word Sense Disambiguation, Entity Linking (Moro and Navigli, 2015), Named Entity Recognition, Coreference Resolution (Ponzetto and Strube, 2006). There already exist several initiatives on WordNet extension, for example, the Open English WordNet with thousands of new manually added entries or plWordNet (Maziarz et al., 2014) which includes a mapping to an enlarged Princeton WordNet. However, the manual annotation process is too costly: it is time-consuming and requires language or domain experts.
    [Show full text]
  • A Taxonomy of Information System Projectsâ•Ž Knowledge-Sharing
    Communications of the Association for Information Systems Volume 41 Article 26 12-2017 A Taxonomy of Information System Projects’ Knowledge-sharing Mechanisms Nora Fteimi University of Passau, [email protected] Jianxiao Cai University of Cologne Dirk Basten University of Cologne Follow this and additional works at: http://aisel.aisnet.org/cais Recommended Citation Fteimi, Nora; Cai, Jianxiao; and Basten, Dirk (2017) "A Taxonomy of Information System Projects’ Knowledge-sharing Mechanisms," Communications of the Association for Information Systems: Vol. 41 , Article 26. DOI: 10.17705/1CAIS.04126 Available at: http://aisel.aisnet.org/cais/vol41/iss1/26 This material is brought to you by the Journals at AIS Electronic Library (AISeL). It has been accepted for inclusion in Communications of the Association for Information Systems by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact [email protected]. ommunications of the C ssociation for nformation ystems A I S Research Paper ISSN: 1529-3181 A Taxonomy of Information System Projects’ Knowledge-sharing Mechanisms Nora Fteimi University of Passau Chair of Information Systems with a focus on Information and IT Service Management [email protected] Jianxiao Cai Dirk Basten University of Cologne University of Cologne Department of Information Systems and Systems Department of Information Systems and Systems Development Development Abstract: Despite its criticality to the success of information system (IS) projects, knowledge sharing among IS projects is generally ineffective compared to knowledge sharing in IS projects. Although several mechanisms for knowledge sharing exist in the literature, it is difficult to determine which mechanism one should use in a specific context.
    [Show full text]