Право интеллектуальной собственности. Учебник. Том 2 Авторское право. Под общей редакцией Л.А. Новоселовой
The author of article E.P.Gavrilov, professor of the chair of the civil law of the Higher school of economy, doctor of law answers to the questions of readers of the magazine, received in connection with his previously published article.
E.P.Gavrilov, doctor of sciences, professor of the chair of the civil law of the state university «Higher school of economy» analyzes the use of the copyrighted works in the trademarks.
The comment to the civil code of the Russian Federation parts of the fourth (Volume 2)
The purpose of this work is to study the problem of correlation between personal and property constituent elements of copyright within the framework of continental legal system. The work contains conclusions relating to the specific interrelations existing between the mentioned constituent elements of the mechanism of copyright and the extent of their compulsory nature both for lawmakers and for law enforcement officials.
The subject of this monograph is intellectual property law in Russia. This study focuses on legal mechanisms of protection of intellectual property rights since, in Russia, legislation is the main source of such rights. Though neither judicial practice nor theses propounded in legal literature are formally considered sources of intellectual property law in Russia, they at times seriously affect court rulings, and so much attention is paid to them in this study in dealing with key issues and points of dispute.
All references to legislation in this monograph are valid as of August 2014, but account is taken of amendments to Part Four of the Civil Code that are due to enter into force on 1 October 2014.
Companies are increasingly paying close attention to the IP portfolio, which is a key competitive advantage, so patents and patent applications, as well as analysis and identification of future trends, become one of the important and strategic components of a business strategy. We argue that the problems of identifying and predicting trends or entities, as well as the search for technical features, can be solved with the help of easily accessible Big Data technologies, machine learning and predictive analytics, thereby offering an effective plan for development and progress. The purpose of this study is twofold, the first is an identification of technological trends, the second is an identification of application areas and/or that are most promising in terms of technology development and investment. The research was based on methods of clustering, processing of large text files and search queries in patent databases. The suggested approach is considered on the basis of experimental data in the field of moving connected UAVs and passive acoustic ecology control.