基于炼油与化工科研知识图谱的应用

孙 　筱, 侯 士超, 刘 　锋, 张 金蓉
昆仑数智科技有限责任公司

摘要


随着国内石油行业信息化发展，越来越多的石油企业每天都会产生海量非结构化的数据。为满足石油企业
数字化转型和智能化发展的需求，本文介绍了基于炼油与化工科研知识图谱实现智能问答、语义搜索以及热点推荐
等功能，增强炼油与化工科研知识的发现、检索和知识服务能力。针对炼油与化工知识图谱研究面临的领域专业词
汇标准化程度不高、标注语料缺乏、技术研究不够深入以及应用场景有局限性等挑战，对其未来的研究方向做出了
展望。

关键词


炼油与化工；知识图谱应用；智能问答；语义搜索

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参考


[1]He W, Kirchoff K G, Sampson R R, et al. Research

Integrated Network of Systems (RINS): a virtual data

warehouse for the acceleration of translational research[J].

Journal of the American Medical Informatics Association,

2021, 28(7): 1440-1450.

[2]Jolfaei A, Jan M A, Kant K, et al. Guest Editorial:

Configuration Security for Industrial Automation and Control

Systems[J]. IEEE Transactions on Industrial Informatics, 2021,

17(6): 4206-4209.

[3]Wei Yong H, Danlu LX, Fei W (2016) Geographic

name full text query based GeoNames and Solr. Eng Surv

Mapp 25(2):28–32.

[4]GeoNames (2020) Datasources used by GeoNames in

the GeoNames Gazettee. http://www.geonames.org/data-sources.html. Accessed 30 Mar 2020.

[5]Uche Ogbuji (2008) Open geographic information

systems at Geonames.org. https://www.ibm.com/

developerworks/cn/web/wa-realweb7/. Accessed 30 Mar 2020.

[6]Maltese V, Farazi F (2013) A semantic schema for

GeoNames. In: INSPIRE 2013.

[7]Europeana (2020) Linked open data. https://pro.

europeana.eu/page/linked-open-data. Accessed 20 Mar

2020.

[8]BerantJ,ChouA,FrostigR,etal.Semanticparsingonfree

basefromquestion-answerpairs[C].Proceedingsofthe2013Co

nferenceonEmpiricalMethodsinNaturalLanguageProcessing.

Stroudsburg,PA:ACL,2013:1533-1544.

[9]Singhal A (2012) Introducing the knowledge graph:

things, not strings. https://googleblog.blogspot.com/2012/05/

introducingknowledge-graph-things-not.html. Accessed 26

Mar 2020.




DOI: http://dx.doi.org/10.12361/2661-3654-06-03-133195

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