In this paper, we conduct research on the big data and the artificial intelligence aided decision-making mechanism with the applications on video website homemade program innovation. Make homemade video shows new medi...In this paper, we conduct research on the big data and the artificial intelligence aided decision-making mechanism with the applications on video website homemade program innovation. Make homemade video shows new media platform site content production with new possible, as also make the traditional media found in Internet age, the breakthrough point of the times. Site homemade video program, which is beneficial to reduce copyright purchase demand, reduce the cost, avoid the homogeneity competition, rich advertising marketing at the same time, improve the profit pattern, the organic combination of content production and operation, complete the strategic transformation. On the basis of these advantages, once the site of homemade video program to form a brand and a higher brand influence. Our later research provides the literature survey for the related issues.展开更多
Big data technology turns everything into computerized information, so everything has its own data footprint. These footprints come together to form a data world that maps everything. By mining the data world, everyth...Big data technology turns everything into computerized information, so everything has its own data footprint. These footprints come together to form a data world that maps everything. By mining the data world, everything can be calculated and recognized. Our black box world is gradually open and transparent. Everything can be recognized, grasped, and predicted. Although big data may diminish individual privacy and even threaten personal freedom, through the precise portrayal and analysis of big data, people will gradually come to understand the laws of nature and society, and those once hidden in the black box will gradually move from the realm of necessity to the realm of freedom. Big data, therefore, brings a new world of freedom while bringing constraints to individuals.展开更多
As the global demand for renewable energy increases,the photovoltaic(PV)industry,which is a vital component of clean energy,plays a crucial role in achieving energy transition and sustainable development goals.Consequ...As the global demand for renewable energy increases,the photovoltaic(PV)industry,which is a vital component of clean energy,plays a crucial role in achieving energy transition and sustainable development goals.Consequently,the PV industry has grown rapidly in recent years,leading to an expanded and increasingly sophisticated industrial chain.However,the effective assessment of the development of the PV industry is complicated by the extensiveness of the PV industrial chain.This paper presents a method for constructing a knowledge graph of the PV industry chain using enterprise bidding data,effectively coupling the product and supply networks.First,by leveraging relevant knowledge in the PV field,we employ two deep learning models,the BERT-BiLSTM-CRF model and an improved CasRel model,for entity and relationship extraction,respectively.Subsequently,entity-linking technology is applied to facilitate knowledge fusion.Finally,the Neo4j graph database is utilized for knowledge storage and graphical representation,comprehensively illustrating the technical process of constructing the PV industry chain knowledge graph.The knowledge graph of the PV industry chain facilitates a timely understanding of the industry’s overall status and development trends while identifying bottlenecks and risks within the chain.Furthermore,it can aid enterprises in devising more effective risk management strategies and countermeasures,continuously optimizing the industry chain structure,and promoting the sustainable development of the industry.展开更多
文摘In this paper, we conduct research on the big data and the artificial intelligence aided decision-making mechanism with the applications on video website homemade program innovation. Make homemade video shows new media platform site content production with new possible, as also make the traditional media found in Internet age, the breakthrough point of the times. Site homemade video program, which is beneficial to reduce copyright purchase demand, reduce the cost, avoid the homogeneity competition, rich advertising marketing at the same time, improve the profit pattern, the organic combination of content production and operation, complete the strategic transformation. On the basis of these advantages, once the site of homemade video program to form a brand and a higher brand influence. Our later research provides the literature survey for the related issues.
基金a stage outcome of "Study on Philosophical Issues of Big Data Technology Revolution",a major program funded by National Social Sciences Fund(No.2014AZX006)
文摘Big data technology turns everything into computerized information, so everything has its own data footprint. These footprints come together to form a data world that maps everything. By mining the data world, everything can be calculated and recognized. Our black box world is gradually open and transparent. Everything can be recognized, grasped, and predicted. Although big data may diminish individual privacy and even threaten personal freedom, through the precise portrayal and analysis of big data, people will gradually come to understand the laws of nature and society, and those once hidden in the black box will gradually move from the realm of necessity to the realm of freedom. Big data, therefore, brings a new world of freedom while bringing constraints to individuals.
基金supported by the National Natural Science Foundation of China under Grant Nos.72293563,72293565,and 72101051.
文摘As the global demand for renewable energy increases,the photovoltaic(PV)industry,which is a vital component of clean energy,plays a crucial role in achieving energy transition and sustainable development goals.Consequently,the PV industry has grown rapidly in recent years,leading to an expanded and increasingly sophisticated industrial chain.However,the effective assessment of the development of the PV industry is complicated by the extensiveness of the PV industrial chain.This paper presents a method for constructing a knowledge graph of the PV industry chain using enterprise bidding data,effectively coupling the product and supply networks.First,by leveraging relevant knowledge in the PV field,we employ two deep learning models,the BERT-BiLSTM-CRF model and an improved CasRel model,for entity and relationship extraction,respectively.Subsequently,entity-linking technology is applied to facilitate knowledge fusion.Finally,the Neo4j graph database is utilized for knowledge storage and graphical representation,comprehensively illustrating the technical process of constructing the PV industry chain knowledge graph.The knowledge graph of the PV industry chain facilitates a timely understanding of the industry’s overall status and development trends while identifying bottlenecks and risks within the chain.Furthermore,it can aid enterprises in devising more effective risk management strategies and countermeasures,continuously optimizing the industry chain structure,and promoting the sustainable development of the industry.
