Damintun Depression is a key experimental area for promoting geothermal energy construction in Liaohe Oilfield during the dual-carbon period,and has a good potential for geothermal resources.Ascertaining the geologica...Damintun Depression is a key experimental area for promoting geothermal energy construction in Liaohe Oilfield during the dual-carbon period,and has a good potential for geothermal resources.Ascertaining the geological conditions in this area and accurately evaluating the geothermal resources in this area can provide theoretical support for the exploitation and utilization of geothermal resources in mining areas and the transformation of energy structure.In this paper,the geological structure,distribution of geothermal reservoir,earth temperature field and water chemical characteristics of Damintun Depression were analyzed comprehensively.The occurrence characteristics of geothermal resources in this block were revealed,and the amount of the resources was estimated.The results show that the main geothermal reservoir layers in this area are the first and third members of the Paleogene Shahejie Formation,which are the main target layers for geothermal development.The gradient of earth temperature in this ares is 2.8-3.5℃/100 m,and it is high in the west and north and low in the east and south.The total amount of geothermal reservoir resources in the favorable area of the research block is 783.28×10^(6) GJ,equivalent to 2672.69×10^(4) tons of standard coal.The amount of recoverable geothermal reservoir resources is 195.827×10^(6) GJ,equivalent to 668.17×10^(4) tons of standard coal.展开更多
Knowledge bases(KBs)are often greatly incomplete,necessitating a demand for KB completion.Although XLORE is an English-Chinese bilingual knowledge graph,there are only 423,974 cross-lingual links between English insta...Knowledge bases(KBs)are often greatly incomplete,necessitating a demand for KB completion.Although XLORE is an English-Chinese bilingual knowledge graph,there are only 423,974 cross-lingual links between English instances and Chinese instances.We present XLORE2,an extension of the XLORE that is built automatically from Wikipedia,Baidu Baike and Hudong Baike.We add more facts by making cross-lingual knowledge linking,cross-lingual property matching and fine-grained type inference.We also design an entity linking system to demonstrate the effectiveness and broad coverage of XLORE2.展开更多
With the development of tourism knowledge graphs(KGs),recommendation,question answering(QA)and other functions under its support enable various applications to better understand users and provide services.Existing Chi...With the development of tourism knowledge graphs(KGs),recommendation,question answering(QA)and other functions under its support enable various applications to better understand users and provide services.Existing Chinese tourism KGs do not contain enough entity information and relations.Besides,the knowledge storage usually contains only the text modality but lacks other modalities such as images.In this paper,a multi-modal Chinese tourism knowledge graph(MCTKG)is proposed based on Beijing tourist attractions to support QA and help tourists plan tourism routes.An MCTKG ontology was constructed to maintain the semantic consistency of heterogeneous data sources.To increase the number of entities and relations related to the tourist attractions in MCTKG,entities were automatically expanded belonging to the concepts of building,organization,relic,and person based on Baidu Encyclopedia.In addition,based on the types of tourist attractions and the styles of tourism route,a tourism route generation algorithm was proposed,which can automatically schedule the tourism routes by incorporating tourist attractions and the route style.Experimental results show that the generated tourist routes have similar satisfaction comparedwith the tourism routes crawled from specific travel websites.展开更多
文摘Damintun Depression is a key experimental area for promoting geothermal energy construction in Liaohe Oilfield during the dual-carbon period,and has a good potential for geothermal resources.Ascertaining the geological conditions in this area and accurately evaluating the geothermal resources in this area can provide theoretical support for the exploitation and utilization of geothermal resources in mining areas and the transformation of energy structure.In this paper,the geological structure,distribution of geothermal reservoir,earth temperature field and water chemical characteristics of Damintun Depression were analyzed comprehensively.The occurrence characteristics of geothermal resources in this block were revealed,and the amount of the resources was estimated.The results show that the main geothermal reservoir layers in this area are the first and third members of the Paleogene Shahejie Formation,which are the main target layers for geothermal development.The gradient of earth temperature in this ares is 2.8-3.5℃/100 m,and it is high in the west and north and low in the east and south.The total amount of geothermal reservoir resources in the favorable area of the research block is 783.28×10^(6) GJ,equivalent to 2672.69×10^(4) tons of standard coal.The amount of recoverable geothermal reservoir resources is 195.827×10^(6) GJ,equivalent to 668.17×10^(4) tons of standard coal.
基金National Natural Science Foundation of China(NSFC)key project(No.61533018,No.U1736204 and No.61661146007)Ministry of Education and China Mobile Research Fund(No.20181770250)and THUNUS NExT Co-Lab.
文摘Knowledge bases(KBs)are often greatly incomplete,necessitating a demand for KB completion.Although XLORE is an English-Chinese bilingual knowledge graph,there are only 423,974 cross-lingual links between English instances and Chinese instances.We present XLORE2,an extension of the XLORE that is built automatically from Wikipedia,Baidu Baike and Hudong Baike.We add more facts by making cross-lingual knowledge linking,cross-lingual property matching and fine-grained type inference.We also design an entity linking system to demonstrate the effectiveness and broad coverage of XLORE2.
基金This work is supported by the National Key Research and Development Program of China(2017YFB1002101)NSFC Key Project(U1736204)a grant from Beijing Academy of Artificial Intelligence(BAAI2019ZD0502).
文摘With the development of tourism knowledge graphs(KGs),recommendation,question answering(QA)and other functions under its support enable various applications to better understand users and provide services.Existing Chinese tourism KGs do not contain enough entity information and relations.Besides,the knowledge storage usually contains only the text modality but lacks other modalities such as images.In this paper,a multi-modal Chinese tourism knowledge graph(MCTKG)is proposed based on Beijing tourist attractions to support QA and help tourists plan tourism routes.An MCTKG ontology was constructed to maintain the semantic consistency of heterogeneous data sources.To increase the number of entities and relations related to the tourist attractions in MCTKG,entities were automatically expanded belonging to the concepts of building,organization,relic,and person based on Baidu Encyclopedia.In addition,based on the types of tourist attractions and the styles of tourism route,a tourism route generation algorithm was proposed,which can automatically schedule the tourism routes by incorporating tourist attractions and the route style.Experimental results show that the generated tourist routes have similar satisfaction comparedwith the tourism routes crawled from specific travel websites.