Ontology Frames for IT Courseware Representation

2003 ◽  
pp. 1-11 ◽  
Author(s):  
Witold Abramowicz ◽  
Marek Kowalkiewicz ◽  
Piotr Zawadzki
Keyword(s):  
New Technology ◽  
Knowledge Exchange ◽  
User Profiles ◽  
Corporate Environment ◽  
Topic Maps ◽  
Technology Skill ◽  
Topic Map

This chapter introduces topic maps and skill maps technologies as a framework for storing courseware and relevant user profiles. It is a result of research being conducted on creating a knowledge exchange platform for the corporate environment. It briefly describes topic maps and skill maps – a new concept developed by the authors. It then proposes applying ontology frames to latter technologies. The proposition is followed by specification of a proposed solution. This solution is used in the Knowledge e-Marketplace for a Courseware Distribution project that is being developed at The Poznan University of Economics, Poland. The project’s target is to integrate traditional e-Marketplace with topic map technology and to introduce a new technology – skill maps – for representing an individual employee’s knowledge. There is a need to create common ontology frames for topic maps and skill maps in order to coherently represent knowledge and knowledge profiles.

scholarly journals EXPRESSION AND ORGANIZATION OF GEOGRAPHIC SPATIAL RELATIONS BASED ON TOPIC MAPS

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1257-1261
Author(s):  
H. J. Liang ◽  
H. Wang ◽  
T. J. Cui ◽  
J. F. Guo
Keyword(s):  
Information Science ◽  
Spatial Database ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Geographical Information ◽  
Knowledge Network ◽  
Effective Management ◽  
Topic Maps ◽  
Complex Knowledge ◽  
Topic Map

Spatial Relation is one of the important components of Geographical Information Science and Spatial Database. There have been lots of researches on Spatial Relation and many different spatial relations have been proposed. The relationships among these spatial relations such as hierarchy and so on are complex and this brings some difficulties to the applications and teaching of these spatial relations. This paper summaries some common spatial relations, extracts the topic types, association types, resource types of these spatial relations using the technology of Topic Maps, and builds many different relationships among these spatial relations. Finally, this paper utilizes Java and Ontopia to build a topic map among these common spatial relations, forms a complex knowledge network of spatial relations, and realizes the effective management and retrieval of spatial relations.

Use of Twitter among cancer clinicians and researchers and the associations with scientific impact of its users and followers.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14101-e14101
Author(s):  
Winson Y. Cheung ◽  
Rodrigo Rigo ◽  
Atul Batra
Keyword(s):  
Social Media ◽  
New Technologies ◽  
New Technology ◽  
Knowledge Exchange ◽  
Correlation Coefficients ◽  
Median Number ◽  
Scientific Content ◽  
Scientific Impact ◽  
Twitter Users ◽  
American Society

e14101 Background: Social media channels, such as Twitter, represent relatively new technology platforms for scientific users to disseminate research findings and communicate their views and interpretations to colleagues and followers. To date, the associations between the use of Twitter and the scientific impact of its users and followers are unclear. Methods: All Canadian oncologists who are full members of the American Society of Clinical Oncology were identified from the online membership directory. Users of Twitter were defined as those with an active Twitter account, as of June 2019, and posted at least one tweet within the past 12 months. Data regarding the number of tweets, likes, and followers were collected by an online search of Twitter. Scientific impact of each individual was assessed based on a user’s h-index and number of citations from Google Scholar as well as score from Research Gate. Associations were examined with summary statistics and correlation coefficients. Results: We identified 676 eligible oncologists of whom 80 (12%) and 596 (88%) currently use and do not use Twitter. Among the users, the median number (IQR) of tweets, likes, and followers were 196 (45-865), 325 (86-1,246), and 198 (89-449), respectively. The scientific impact of Twitter users versus non-users was statistically similar (see Table). Likewise, within the group of users, there were no correlations between the number of tweets, likes, and followers and the scientific impact of individuals (correlation coefficients 0.38, 0.34, and 0.41, respectively, all p > 0.05). Conclusions: Only 1 in 10 oncologists use Twitter, but those who use Twitter leveraged this technology platform frequently. There were no associations between the use of Twitter and the scientific impact of its users. Views from a minority of oncologists are represented on Twitter. Such potential bias may underscore the potential need to exercise caution when using social media for scientific knowledge exchange. Regular evaluations of new technologies are warranted to ensure the quality and rigor of their scientific content in order to reduce misrepresentation. [Table: see text]

Topic Maps Generation by Text Mining

2011 ◽  
pp. 1979-1984
Author(s):  
Hsin-Chang Yang ◽  
Chung-Hong Lee
Keyword(s):  
Text Mining ◽  
Information Resources ◽  
Information Resource ◽  
Automatic Process ◽  
Specific Information ◽  
Specific Domain ◽  
Topic Maps ◽  
Map Construction ◽  
Human Effort ◽  
Topic Map

Topic maps provide a general, powerful, and user-oriented way to navigate the information resources under consideration in any specific domain. A topic map provides a uniform framework that not only identifies important subjects from an entity of information resources and specifies the resources that are semantically related to a subject, but also explores the relations among these subjects. When a user needs to find some specific information on a pool of information resources, he or she only needs to examine the topic maps of this pool, select the topic that seems interesting, and the topic maps will display the information resources that are related to this topic, as well as its related topics. The user will also recognize the relationships among these topics and the roles they play in such relationships. With the help of the topic maps, you no longer have to browse through a set of hyperlinked documents and hope that you may eventually reach the information you need in a finite amount of time, while knowing nothing about where to start. You also don’t have to gather some words and hope that they may perfectly symbolize the idea you’re interested in, and be well-conceived by a search engine to obtain reasonable result. Topic maps provide a way to navigate and organize information, as well as create and maintain knowledge in an infoglut. To construct a topic map for a set of information resources, human intervention is unavoidable at the present time. Human effort is needed in tasks such as selecting topics, identifying their occurrences, and revealing their associations. Such a need is acceptable only when the topic maps are used merely for navigation purposes and when the volume of the information resource is considerably small. However, a topic map should not only be a topic navigation map. The volume of the information resource under consideration is generally large enough to prevent the manual construction of topic maps. To expand the applicability of topic maps, some kind of automatic process should be involved during the construction of the maps. The degree of automation in such a construction process may vary for different users with different needs. One person may need only a friendly interface to automate the topic map authoring process, while another may try to automatically identify every component of a topic map for a set of information resources from the ground up. In this article, we recognize the importance of topic maps not only as a navigation tool but also as a desirable scheme for knowledge acquisition and representation. According to such recognition, we try to develop a scheme based on a proposed text-mining approach to automatically construct topic maps for a set of information resources. Our approach is the opposite of the navigation task performed by a topic map to obtain information. We extract knowledge from a corpus of documents to construct a topic map. Although currently the proposed approach cannot fully construct the topic maps automatically, our approach still seems promising in developing a fully automatic scheme for topic map construction.

Translation between RDF and Topic Maps: Divide and Translate

2009 ◽  
Author(s):  
Christo Dichev ◽  
Darina Dicheva ◽  
Boriana Ditcheva ◽  
Mike Moran
Keyword(s):  
The Novel ◽  
Topic Maps ◽  
Data Translation ◽  
The Right ◽  
Key Aspects ◽  
Topic Map

This paper addresses the issue of sharing and integrating data across RDF and Topic Map representations. The novel aspect of tackling the RDF - Topic Maps interoperability problem is the attempt to identify the right balance between the following key aspects: (i) semantics-preserving data translation; (ii) completeness of the translation; (iii) pragmatics and usability of the translation. The proposed strategy towards achieving this goal is based on exploiting the ontological correspondence between RDF and Topic Maps. The design focus is placed on a translation respecting the meaning and the readability of the RDF - Topic Maps translation. The paper analyzes the feasibility of the interoperability task, presents some requirements derived from this analysis, and proposes a method for RDF - Topic Maps translation. The proposed method is implemented as a plug-in of the TM4L topic maps editor.

Spreadsheets - 90+ million End User Programmers With No Comment Tracking or Version Control

2015 ◽  
Author(s):  
Patrick Durusau ◽  
Sam Hunting
Keyword(s):  
Human Error ◽  
Reference Model ◽  
Business Case ◽  
List Type ◽  
Business Decisions ◽  
Software Application ◽  
Material Defects ◽  
Topic Maps ◽  
The World ◽  
Topic Map

Stephen Gandel's Damn Excel! How the 'most important software application of all time' is ruining the world is NOT an indictment of Excel. It is an indictment of the inability to: link spreadsheets to emails track relationships between cells and between cells and formulas track comments on spreadsheet errors have versioning for cell contents/formulas Without those capabilities, spreadsheets are dangerous to their authors and others. How dangerous you ask? A short list of horror stories would include: 2013, the "London Whale," JPMorgan Chase, lost £250 million; 2013, error in calculation of international Government debt to GDP ratios; 2012, JPMorgan Chase loses $6.2 billion due to a spreadsheet formula error; 2011, MF Global collapses, in part due to the use of spreadsheets to track assets and liabilities; 2010, US Federal Reserve, spreadsheet error on calculation of $4 billion in Consumer Revolving Credit. The EuSpRIG Horror Stories page has a generous sampling of more spreadsheet horror stories. Statistically speaking, F1F9 estimates: 88% of all spreadsheets have errors in them, while 50% of spreadsheets used by large companies have material defects, resulting in loss of time and money, damaged reputations, lost jobs and disrupted careers. If that weren't bad enough, other research indicates that 33% of all bad business decisons are traceable to spreadsheet errors. That's right, 33% of all bad business decisions. That's a business case looking for a solution. Yes? Disclaimer: Topic maps, even a legend based on the Topic Maps Reference Model, ISO/IEC 13250-5 (2015), cannot magically prevent fraud, stupidity or human error. Topic maps can enable the modeling of relationships within spreadsheets, create comment tracking on errors/spreadsheets, even when the comments are in emails, and explore the subject identities and merging practices required for content level versioing of spreadsheets. Our goal is to empower you to detect fraud, stupidity and human error. On the technical side, we will analyze real world spreadsheets, determine subjects to be represented and how to identify them, create a legend that will constrain the representatives of subjects (using ordinary XML tools), create a topic map of an actual spreadsheet and review our results against the known requirements to improve auditing of spreadsheets. The auditing process itself will be shown to be auditable.

scholarly journals From Index to Network: Topic Maps in the Enhanced Networked Monographs Project

2019 ◽  
Author(s):  
Alexandra Alisa Provo
Keyword(s):  
Topic Maps ◽  
The Creation ◽  
Topic Map

The Enhanced Networked Monographs (ENM) project was an experimental publishing project funded by The Andrew W. Mellon Foundation and carried out from 2015-2018. Over the course of the project, we developed methods to extract topics from indexes, built tools to curate the result of the integration, and created a platform for reading. This article will discuss the creation of the ENM topic map, a meta-index created by combining many individual back-of-book indexes using the Topic Curation Toolkit.

Topic Maps Generation by Text Mining

2011 ◽  
pp. 1130-1134
Author(s):  
Hsin-Chang Yang ◽  
Chung-Hong Lee
Keyword(s):  
Text Mining ◽  
Search Engine ◽  
Information Resources ◽  
User Needs ◽  
Specific Information ◽  
Specific Domain ◽  
Topic Maps ◽  
Finite Amount ◽  
Reasonable Result ◽  
Topic Map

Topic maps provide a general, powerful, and user-oriented way to navigate the information resources under consideration in any specific domain. A topic map provides a uniform framework that not only identifies important subjects from an entity of information resources and specifies the resources that are semantically related to a subject, but also explores the relations among these subjects. When a user needs to find some specific information on a pool of information resources, he or she only needs to examine the topic maps of this pool, select the topic that seems interesting, and the topic maps will display the information resources that are related to this topic, as well as its related topics. The user will also recognize the relationships among these topics and the roles they play in such relationships. With the help of the topic maps, you no longer have to browse through a set of hyperlinked documents and hope that you may eventually reach the information you need in a finite amount of time, while knowing nothing about where to start. You also don’t have to gather some words and hope that they may perfectly symbolize the idea you’re interested in, and be well-conceived by a search engine to obtain reasonable result. Topic maps provide a way to navigate and organize information, as well as create and maintain knowledge in an infoglut.

Machine Translation within Commercial Companies

2015 ◽  
pp. 256-272
Author(s):  
Tomáš Hudík
Keyword(s):  
Competitive Advantage ◽  
Machine Translation ◽  
New Technologies ◽  
New Technology ◽  
Special Focus ◽  
Corporate Environment ◽  
Short Introduction ◽  
Novel Approaches

This chapter gives a short introduction to machine translation (MT) and its use within commercial companies with special focus on the localization industry. Although MT is not a new field, many scientists and researchers are still interested in this field and are frequently coming up with challenges, discoveries and novel approaches. Commercial companies need to keep track with them and their R&D departments are making good progress with the integration of MT within their complicated workflows as well as minor improvements in core MT in order to gain a competitive advantage. The chapter describes differences in research within university and commercial environments. Furthermore, there will be given the main obstacles in the deployment of new technologies and typical way in which a new technology can be deployed in corporate environment.

scholarly journals Adopting Disruptive Technologies in Traditional Universities: Continuing Education as an Incubator for Innovation

2013 ◽  
Vol 25 (1) ◽  
Author(s):  
Walter Archer ◽  
Randy Garrison ◽  
Terry Anderson
Keyword(s):  
Continuing Education ◽  
New Technology ◽  
Disruptive Innovation ◽  
Associate Professor ◽  
Recent Book ◽  
Disruptive Technology ◽  
Corporate Environment ◽  
Business World ◽  
Disruptive Technologies ◽  
The Impact

A recent book by Clayton M. Christensen, Associate Professor of Business at Harvard University, discusses the sometimes devastating impact in the corporate environment of what he refers to as "disruptive technologies." Successful, well-managed firms that dominate their markets have sometimes gone into a sharp decline or even collapsed when a new technology disrupts the pattern of their market segment. Other firms, however, have handled such transitions smoothly, maintaining their position of dominance in the market by employing specific techniques to integrate the new and disruptive technology into their operations.Traditional research universities enjoy a dominant position in the higher education "market," but they are beginning to feel the impact of disruptive technologies such as distance education. They may benefit not only from an examination of the insights that Christensen has derived from his study of the impact of disruptive technologies in the corporate environment but also from a selective application of the techniques for coping with disruptive technologies that Christensen has found to be effective in the business world. Some of these techniques imply an important role for continuing education units as semi-autonomous incubators of disruptive innovation.

scholarly journals CARING FUTURES: a study protocol for transdisciplinary qualitative research on technology-mediated care practices and theory development for ethics of care

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e054458
Author(s):  
Ellen Ramvi ◽  
Birgitta Haga Gripsrud ◽  
Ingvil Hellstrand ◽  
Brita Gjerstad ◽  
Åse Elisabeth Vagli
Keyword(s):  
Digital Media ◽  
New Technology ◽  
Empirical Studies ◽  
Knowledge Exchange ◽  
Theory Development ◽  
Ethics Of Care ◽  
Societal Impact ◽  
Scientific Publications ◽  
The Future ◽  
Care Practices

IntroductionThe world’s population is ageing. As older persons live longer and increase in number, society faces a greater disease burden and, in public welfare, a corresponding resource deficit. New technology is one solution to this deficit but there is scarce knowledge about ethical aspects of such innovations in care practices. In CARING FUTURES, we address this scarcity by interrogating how new technology in care can become ethically sound and, correspondingly, how ethics of care can become more technology aware. Our concern is to protect quality care for the future.Methods and analysisCARING FUTURES advances transdisciplinarity through knowledge exchange around technology-mediated care and ethics of care, involving key stakeholders. We rely on established and innovative methods to generate experience-near and practice-near knowledge. Through this empirical research, we seek to expand understanding of technology-mediated care and to enrich ethics of care theory.Ethics and disseminationEmpirical studies have been approved or await approval by national ethics committees. CARING FUTURES is designed to create societal impact through Knowledge Transfer Events targeting stakeholders in health, care and welfare, and Educational Packages for students of care—providing knowledge-exchange forums for future academics and practitioners of care. The project’s societal impact is also ensured in that participating researchers are also practitioners and/or educators of care personnel for the future. Project findings will be disseminated through scientific publications and conference presentations. Through communication in both traditional and digital media platforms, we engage in dialogues between researchers, user groups, policy makers and the wider public.

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