Big Data for Prediction

2022 ◽  
pp. 1192-1215
Author(s):  
Mirjana Pejic-Bach ◽  
Jasmina Pivar ◽  
Živko Krstić
Keyword(s):  
Big Data ◽  
Classification System ◽  
Business Processes ◽  
International Patent Classification ◽  
Patent Classification ◽  
Data Usage ◽  
Past Behavior ◽  
Technical Content ◽  
Large Databases ◽  
International Patent

Technical field of big data for prediction lures the attention of different stakeholders. The reasons are related to the potentials of the big data, which allows for learning from past behavior, discovering patterns and values, and optimizing business processes based on new insights from large databases. However, in order to fully utilize the potentials of big data, its stakeholders need to understand the scope and volume of patenting related to big data usage for prediction. Therefore, this chapter aims to perform an analysis of patenting activities related to big data usage for prediction. This is done by (1) exploring the timeline and geographic distribution of patenting activities, (2) exploring the most active assignees of technical content of interest, (3) detecting the type of the protected technical according to the international patent classification system, and (4) performing text-mining analysis to discover the topics emerging most often in patents' abstracts.

Big Data for Prediction

2019 ◽  
pp. 218-240 ◽  
Author(s):  
Mirjana Pejic-Bach ◽  
Jasmina Pivar ◽  
Živko Krstić
Keyword(s):  
Big Data ◽  
Classification System ◽  
Business Processes ◽  
International Patent Classification ◽  
Patent Classification ◽  
Data Usage ◽  
Past Behavior ◽  
Technical Content ◽  
Large Databases ◽  
International Patent

Technical field of big data for prediction lures the attention of different stakeholders. The reasons are related to the potentials of the big data, which allows for learning from past behavior, discovering patterns and values, and optimizing business processes based on new insights from large databases. However, in order to fully utilize the potentials of big data, its stakeholders need to understand the scope and volume of patenting related to big data usage for prediction. Therefore, this chapter aims to perform an analysis of patenting activities related to big data usage for prediction. This is done by (1) exploring the timeline and geographic distribution of patenting activities, (2) exploring the most active assignees of technical content of interest, (3) detecting the type of the protected technical according to the international patent classification system, and (4) performing text-mining analysis to discover the topics emerging most often in patents' abstracts.

scholarly journals Technological Advances to Reduce Apis mellifera Mortality: A Bibliometric Analysis

2021 ◽  
Vol 13 (15) ◽  
pp. 8305
Author(s):  
Cristiano Ziegler ◽  
Tiago Sinigaglia ◽  
Mario Eduardo Santos Martins ◽  
Adriano Mendonça Souza
Keyword(s):  
Apis Mellifera ◽  
The United States ◽  
Mortality Data ◽  
Time Interval ◽  
International Patent Classification ◽  
Patent Classification ◽  
Honey Production ◽  
Technological Advances ◽  
International Patent ◽  
Technology Life Cycle

Bees play a fundamental role in the ecological balance of ecosystems, due to the pollination process they carry out on crops, including the production of honey. However, the mortality of bees is a significant concern; bee mortality can occur for several reasons, such as pesticides, mites, viruses, climate change, pathogens and a reduction in food resources and nests. The honey bee (Apis mellifera) is the most widely used bee for commercial pollination and honey production. Therefore, the main objective is to compare the development of patent families and article publications related to the reduction in A. meliífera mortality. Data on patent families were collected on the Orbit platform, while data on scientific articles were collected on the Scopus database, with a time interval of 1980–2019. Subsequently, the data were analyzed in order to show the main priority countries, main assignees, and main IPC (International Patent Classification) codes, an analysis of the technology life cycle and the correlation between the data of patent families and articles published. The technologies that help to decrease bee mortality showed a technological maturity rate of 27.15% for patent families data and 53.35% for data from articles published in journals. It was noticed that the principal interest regarding the reduction in A. mellifera mortality is focused on universities, mainly in the United States and China.

scholarly journals Applications of Silver Nanoparticles in Dentistry: Advances and Technological Innovation

2021 ◽  
Vol 22 (5) ◽  
pp. 2485
Author(s):  
Clara Couto Fernandez ◽  
Ana Rita Sokolonski ◽  
Maísa Santos Fonseca ◽  
Danijela Stanisic ◽  
Danilo Barral Araújo ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Technological Innovation ◽  
Scientific Literature ◽  
Technological Innovations ◽  
International Patent Classification ◽  
Patent Classification ◽  
International Patent ◽  
Promising Area ◽  
The Usa ◽  
Prevention Of Infections

Silver nanoparticles (AgNPs) have been successfully applied in several areas due to their significant antimicrobial activity against several microorganisms. In dentistry, AgNP can be applied in disinfection, prophylaxis, and prevention of infections in the oral cavity. In this work, the use of silver nanoparticles in dentistry and associated technological innovations was analyzed. The scientific literature was searched using PubMed and Scopus databases with descriptors related to the use of silver nanoparticles in dentistry, resulting in 90 open-access articles. The search for patents was restricted to the A61K code (International Patent Classification), using the same descriptors, resulting in 206 patents. The results found were ordered by dental specialties and demonstrated the incorporation of AgNPs in different areas of dentistry. In this context, the search for patents reaffirmed the growth of this technology and the dominance of the USA pharmaceutical industry over AgNPs product development. It could be concluded that nanotechnology is a promising area in dentistry with several applications.

Patents as a Competitive Advantage? Analysis of the German Watch Manufacturer Junghans

2021 ◽  
pp. 2150008
Author(s):  
Katharina Stolz
Keyword(s):  
Competitive Advantage ◽  
Research Design ◽  
High Technology ◽  
Business Success ◽  
International Patent Classification ◽  
Luxury Goods ◽  
Patent Classification ◽  
International Patent ◽  
Patent Applications ◽  
Luxury Industry

This paper investigates the relevance of patents as a competitive advantage with regard to the luxury industry. Within the framework of an explorative research design, more than two thousand patents were analyzed, using the international patent classification (IPC) to cluster those patents. The analysis shows that the sole ownership of patents as a resource is not sufficient to achieve business success. In addition, the findings suggest a two-sided relevance of patents within the luxury goods industry as two main groups can be identified: First, traditional manufacturers focusing more on craftmanship, secrecy, and tradition than on novelties and patents. Second, large business groups and high technology businesses dominating the IPC group G04 and emphasizing on the latest technology as well as on patents. Furthermore, the internationalization is also reflected in the patent applications: European patents within category G04 have gained in importance over the last 20 years, while national patents have declined.

Analysis of International Patent Applications for Inventions Like Traditional Herbal Medicines

2022 ◽  
pp. 532-542
Author(s):  
Pankaj Kumar ◽  
Ameeta Sharma
Keyword(s):  
Herbal Medicines ◽  
Patent Office ◽  
International Patent Classification ◽  
Patent Cooperation Treaty ◽  
Patent Classification ◽  
Patent Search ◽  
Classification Code ◽  
International Patent ◽  
Search Tool ◽  
Patent Applications

Numerous applications have been filed for patents based on bio-inventions in the Indian patent office. Although there is not any international patent, there is a system of international patent applications whereby the applicant may designate name of countries where they wish to file application for patents nationally. According to international patent classification, the concern class for such a patent applications is A61K36/00. More particularly, the international class (IC) A61K36/00 relates to medicinal preparations of undetermined constitution containing material from algae, lichens, fungi or plants, or derivatives thereof (e.g., traditional herbal medicines). International applications filings under patent cooperation treaty (PCT) for patent purposes can be accessed at the Patentscope (patent search tool of WIPO). All international patent applications for such TK-based inventions have been accessed online at Patentscope using the classification code A61K36 for this study.

scholarly journals A Study on Trend Analysis of Applicants Based on Patent Classification Systems

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 364 ◽  
Author(s):  
Soohyeon Chae ◽  
Jangwon Gim
Keyword(s):  
Intellectual Property Rights ◽  
New Technologies ◽  
Classification Systems ◽  
International Patent Classification ◽  
Ripple Effects ◽  
Patent Classification ◽  
Proposed Model ◽  
International Patent ◽  
The Social ◽  
The Common

In recent times, with the development of science and technology, new technologies have been rapidly emerging, and innovators are making efforts to acquire intellectual property rights to preserve their competitive advantage as well as to enhance innovative competitiveness. As a result, the number of patents being acquired increases exponentially every year, and the social and economic ripple effects of developed technologies are also increasing. Now, innovators are focusing on evaluating existing technologies to develop more valuable ones. However, existing patent analysis studies mainly focus on discovering core technologies amongst the technologies derived from patents or analyzing trend changes for specific techniques; the analysis of innovators who develop such core technologies is insufficient. In this paper, we propose a model for analyzing the technical inventions of applicants based on patent classification systems such as international patent classification (IPC) and cooperative patent classification (CPC). Through the proposed model, the common invention patterns of applicants are extracted and used to analyze their technical inventions. The proposed model shows that patent classification systems can be used to extract the trends in applicants’ technological inventions and to track changes in their innovative patterns.

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