Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques

Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital University. Exploring online collections to find knowledge relevant to a user’s interests is a challenging work. The artificial intelligence and Semantic Web provide a common framework that allows knowledge to be shared and reused in an efficient way. In this work we propose a comprehensive approach for discovering E-learning objects in large digital collections based on analysis of recorded semantic metadata in those objects and the application of expert system technologies. We have used Case Based-Reasoning methodology to develop a prototype for supporting efficient retrieval knowledge from online repositories. We suggest a conceptual architecture for a semantic search engine. OntoUS is a collaborative effort that proposes a new form of interaction between users and digital libraries, where the latter are adapted to users and their surroundings

Intellectual property rights in a knowledge-based economy

Intellectual property rights (IPR) have been created as economic mechanisms to facilitate ongoing innovation by granting inventors a temporary monopoly in return for disclosure of technical know-how. Since the beginning of 1980s, IPR have come under scrutiny as new technological paradigms appeared with the emergence of knowledge-based industries. Knowledge-based products are intangible, non-excludable and non-rivalrous goods. Consequently, it is difficult for their creators to control their dissemination and use. In particular, many information goods are based on network externalities and on the creation of market standards. At the same time, information technologies are generic in the sense of being useful in many places in the economy. Hence, policy makers often define current IPR regimes in the context of new technologies as both over- and under-protective. They are over-protective in the sense that they prevent the dissemination of information which has a very high social value; they are under-protective in the sense that they do not provide strong control over the appropriation of rents from their invention and thus may not provide strong incentives to innovate. During the 1980s, attempts to assess the role of IPR in the process of technological learning have found that even though firms in high-tech sectors do use patents as part of their strategy for intellectual property protection, the reliance of these sectors on patents as an information source for innovation is lower than in traditional industries. Intellectual property rights are based mainly on patents for technical inventions and on copyrights for artistic works. Patents are granted only if inventions display minimal levels of utility, novelty and non-obviousness of technical know-how. By contrast, copyrights protect only final works and their derivatives, but guarantee protection for longer periods, according to the Berne Convention. Licensing is a legal aid that allows the use of patented technology by other firms, in return for royalty fees paid to the inventor. Licensing can be contracted on an exclusive or non-exclusive basis, but in most countries patented knowledge can be exclusively held by its inventors, as legal provisions for compulsory licensing of technologies do not exist. The fair use doctrine aims to prevent formation of perfect monopolies over technological fields and copyrighted artefacts as a result of IPR application. Hence, the use of patented and copyrighted works is permissible in academic research, education and the development of technologies that are complimentary to core technologies. Trade secrecy is meant to prevent inadvertent technology transfer to rival firms and is based on contracts between companies and employees. However, as trade secrets prohibit transfer of knowledge within industries, regulators have attempted to foster disclosure of technical know-how by institutional means of patents, copyrights and sui-generis laws. And indeed, following the provisions formed by IPR regulation, firms have shifted from methods of trade secrecy towards patenting strategies to achieve improved protection of intellectual property, as well as means to acquire competitive advantages in the market by monopolization of technological advances.economics of technology ;

Koyaanisqatsi in Cyberspace

Koyaanisqatsi is a Hopi Indian word that translates into English as 'life out of balance,' 'crazy life,' 'life in turmoil,' 'life disintegrating,' all meanings consistent with indicating 'a way of life which calls for another way of living.” While not wishing to suggest either that the international regime of intellectual property rights protection scientific and technical data and information is “crazy” or that it is “in turmoil”, this paper argues that the persisting drift of institutional change towards towards a stronger, more extensive and globally harmonized system of intellectual property protections during the past two decades has dangerously altered the balance between private rights and the public domain in data and information. In this regard we have embarked upon “a way of life which calls for another way of living.” High access charges imposed by holders of monopoly rights in intellectual property have overall consequences for the conduct of science that are particularly damaging to programs of exploratory research which are recognized to be critical for the sustained growth of knowledge-driven economies. Lack of restraint in privatizing the public domain in data and information has effects similar to those of non- cooperative behaviors among researchers in regard to the sharing of access to raw data-steams and information, or the systematic under- provision the documentation and annotation required to create reliably accurate and up-to-date public database resources. Both can significantly degrade the effectiveness of the research system as a whole. The urgency of working towards a restoration of proper balance between private property rights and the public domain in data and information arises from considerations beyond the need to protect the public knowledge commons upon which the vitality of open science depends. Policy-makers who seek to configure the institutional infrastructure to better accommodate emerging commercial opportunities of the information-intensive “new economy” – in the developed and developing countries alike –therefore have a common interest in reducing the impediments to the future commercial exploitation of peer-to-peer networking technologies which are likely to be posed by ever-more stringent enforcement of intellectual property rights.

Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks

Image processing is a rapidly growing research area of computer science and remains as a challenging problem within the computer vision fields. For the classification of flower images, the problem is mainly due to the huge similarities in terms of colour and texture. The appearance of the image itself such as variation of lights due to different lighting condition, shadow effect on the object’s surface, size, shape, rotation and position, background clutter, states of blooming or budding may affect the utilized classification techniques. This study aims to develop a classification model for Malaysian blooming flowers using neural network with the back propagation algorithms. The flower image is extracted through Region of Interest (ROI) in which texture and colour are emphasized in this study. In this research, a total of 960 images were extracted from 16 types of flowers. Each ROI was represented by three colour attributes (Hue, Saturation, and Value) and four textures attribute (Contrast, Correlation, Energy and Homogeneity). In training and testing phases, experiments were carried out to observe the classification performance of Neural Networks with duplication of difficult pattern to learn (referred to as DOUBLE) as this could possibly explain as to why some flower images were difficult to learn by classifiers. Results show that the overall performance of Neural Network with DOUBLE is 96.3% while actual data set is 68.3%, and the accuracy obtained from Logistic Regression with actual data set is 60.5%. The Decision Tree classification results indicate that the highest performance obtained by Chi-Squared Automatic Interaction Detection(CHAID) and Exhaustive CHAID (EX-CHAID) is merely 42% with DOUBLE. The findings from this study indicate that Neural Network with DOUBLE data set produces highest performance compared to Logistic Regression and Decision Tree. Therefore, NN has been potential in building Malaysian blooming flower model. Future studies can be focused on increasing the sample size and ROI thus may lead to a higher percentage of accuracy. Nevertheless, the developed flower model can be used as part of the Malaysian Blooming Flower recognition system in the future where the colours and texture are needed in the flower identification process

The course of lectures on discipline “Intellectual property” (for the 5 year students of the specialty 8.03060101 “Management”)

Затверджено на засіданні кафедри менеджменту інноваційної діяльності та підприємнцтва. Протокол No 1 від 27 серпня 2015 р. Рекомендовано методичною комісією факультету управління і бізнесу у виробництві ТНТУ імені Івана Пулюя. Протокол No 6 від 26 лютого 2016 р.У методичних вказівках, у відповідності до робочої програми, сформовано лекційний матеріал з дисципліни “Інтелектуальна власність” для іноземних студентів спеціальності 8.03060101 “Менеджмент організацій та адміністрування”.Методичні вказівки призначені для допомоги іноземним студентам при вивченні курсу “Інтелектуальна власність”. У методичних вказівках містяться загальні теоретичні відомості, необхідні до вивчення даного курсу. Рекомендовано для іноземних студентів спеціальності 8.03060101 “Менеджмент організацій та адміністрування” з метою закріплення, поглиблення і узагальнення знань, одержаних студентами за час навчання та їх застосування до комплексного вирішення конкретного фахового завдання із дисципліни “Інтелектуальна власність”. Складено з урахуванням робочої програми вивчення курсу, методичних розробок інших вузів, а також матеріалів літературних джерел, наведених у рекомендованій літературі

National environmental scan of South African scholarly publishing

Undertaken as part of the OpeningScholarship project at the University of Cape Town (UCT), this position paper reviews the national environment for the use of ICTs for research dissemination and publication in the South African higher education sector. Taking UCT as a case study, the paper reviews the use of ICTs for scholarly communications for research, teaching and learning, and community engagement in the university against the background of international developments and best practice

The Power of Patents: Leveraging Text Mining and Social Network Analysis to Forecast IoT Trends

Technology has become an indispensable competitive tool as science and technology have progressed throughout history. Organizations can compete on an equal footing by implementing technology appropriately. Technology trends or technology lifecycles begin during the initiation phase. Finally, it reaches saturation after entering the maturity phase. As technology reaches saturation, it will be removed or replaced by another. This makes investing in technologies during this phase unjustifiable. Technology forecasting is a critical tool for research and development to determine the future direction of technology. Based on registered patents, this study examined the trends of IOT technologies. A total of 3697 patents related to the Internet of Things from the last six years of patenting have been gathered using lens.org for this purpose. The main people and companies were identified through the creation of the IOT patent registration cooperation network, and the main groups active in patent registration were identified by the community detection technique. The patents were then divided into six technology categories: Safety and Security, Information Services, Public Safety and Environment Monitoring, Collaborative Aware Systems, Smart Homes/Buildings, and Smart Grid. And their technical maturity was identified and examined using the Sigma Plot program. Based on the findings, information services technologies are in the saturation stage, while both smart homes/buildings, and smart grid technologies are in the saturation stage. Three technologies, Safety and Security, Public Safety and Environment Monitoring, and Collaborative Aware Systems are in the maturity stage

Open Access Publishing: A Literature Review

Within the context of the Centre for Copyright and New Business Models in the Creative Economy (CREATe) research scope, this literature review investigates the current trends, advantages, disadvantages, problems and solutions, opportunities and barriers in Open Access Publishing (OAP), and in particular Open Access (OA) academic publishing. This study is intended to scope and evaluate current theory and practice concerning models for OAP and engage with intellectual, legal and economic perspectives on OAP. It is also aimed at mapping the field of academic publishing in the UK and abroad, drawing specifically upon the experiences of CREATe industry partners as well as other initiatives such as SSRN, open source software, and Creative Commons. As a final critical goal, this scoping study will identify any meaningful gaps in the relevant literature with a view to developing further research questions. The results of this scoping exercise will then be presented to relevant industry and academic partners at a workshop intended to assist in further developing the critical research questions pertinent to OAP