Chinese Journal of Intelligent Science and Technology ›› 2022, Vol. 4 ›› Issue (2): 212-222.doi: 10.11959/j.issn.2096-6652.202224
• Special Topic: Autonomous Agent Learning for Dexterous and Accurate Manipulations • Previous Articles Next Articles
Yueguang GE1,2, Shaolin ZHANG1, Yinghao CAI1, Tao LU1, Dayong WEN1, Haitao WANG1,2, Shuo WANG1,3
Online:
2022-06-15
Published:
2022-06-01
Supported by:
CLC Number:
Yueguang GE, Shaolin ZHANG, Yinghao CAI, et al. A survey on applications of ontology knowledge representation in robotics[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(2): 212-222.
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网络本体语言表示 | 描述逻辑表示 | 范例 |
Thing | F | - |
Nothing | ⊥ | - |
intersectionOf | C1∩…∩Cn | 人类∩男性 |
unionOf | C1∪…∪Cn | 医生∪律师 |
complementOf | ?C | ?男性 |
oneOf | {x1…xn} | {约翰,玛丽} |
allValuesFrom | ?r.C | ?有孩子.医生 |
someValuesFrom | ?r.C | ?有孩子.律师 |
hasValue | ?r.x | ?……的公民.美国 |
minCardinality | (≤ nr) | (≤ 2有孩子) |
maxCardinality | (≥nr) | (≥ 1有孩子) |
inverseOf | r- | 有孩子- |
subClassOf | C1?C2 | 人类?动物∩双足 |
equivalentClass | C1≡ C2 | 男人≡人类∩男性 |
subPropertyOf | P1?P2 | 有女儿?有孩子 |
equivalentProperty | P1≡ P2 | 成本≡价格 |
disjointWith | C1? ?C2 | 男性? ?女性 |
sameAs | {x1} ≡ {x2} | {布什总统}≡{乔治·沃克·布什} |
differentFrom | {x1} ??{x2} | {约翰}? ?{彼得} |
TransitiveProperty | P传递角色 | 有祖先 |
FunctionalProperty | T? (≤1P) | T? (≤1有母亲) |
InverseFunctionalProperty | T? (≤1P-) | T?(≤1母亲-) |
SymmetricProperty | P ≡ P- | 兄弟≡兄弟- |
[1] | STUDER R , BENJAMINS V R , FENSEL D . Knowledge engineering:principles and methods[J]. Data & Knowledge Engineering, 1998,25(1/2): 161-197. |
[2] | GRUBER T R . A translation approach to portable ontology specifications[J]. Knowledge Acquisition, 1993,5(2): 199-220. |
[3] | BORST P , AKKERMANS H , TOP J . Engineering ontologies[J]. International Journal of Human-Computer Studies, 1997,46(2/3): 365-406. |
[4] | TENORTH M , BEETZ M . Representations for robot knowledge in the KnowRob framework[J]. Artificial Intelligence, 2017,247: 151-169. |
[5] | AZEVEDO H , RIBEIRO BELO J P , F ROMERO R A . OntPercept:a perception ontology for robotic systems[C]// Proceedings of 2018 Latin American Robotic Symposium,2018 Brazilian Symposium on Robotics and 2018 Workshop on Robotics in Education. Piscataway:IEEE Press, 2018: 469-475. |
[6] | JOO S H , MANZOOR S , ROCHA Y G ,et al. Autonomous navigation framework for intelligent robots based on a semantic environment modeling[J]. Applied Sciences, 2020,10(9): 3219. |
[7] | MANZOOR S , JOO S H , ROCHA Y G ,et al. A novel semantic SLAM framework for humanlike high-level interaction and planning in global environment[C]// Proceedings of the 1st International Workshop on the Semantic Descriptor,Semantic Modeling and Mapping for Humanlike Perception and Navigation of Mobile Robots toward Large Scale Long-Term Autonomy.[S.l.:s.n.], 2019. |
[8] | ERSEN M , OZTOP E , SARIEL S . Cognition-enabled robot manipulation in human environments:requirements,recent work,and open problems[J]. IEEE Robotics & Automation Magazine, 2017,24(3): 108-122. |
[9] | BAYAT B , BERMEJO-ALONSO J , CARBONERA J ,et al. Requirements for building an ontology for autonomous robots[J]. Industrial Robot:an International Journal, 2016,43(5): 469-480. |
[10] | SMULLYAN R M . First-order logic[M].[S.l.]: Courier Corporation, 1995. |
[11] | BAADER F , CALVANESE D , MCGUINNESS D ,et al. The description logic handbook:theory,implementation and applications[M].[S.l.]: Cambridge University Press, 2003. |
[12] | KLYNE G , CARROLL J . Resource description framework (RDF):concepts and abstract syntax[Z]. 2004. |
[13] | BRICKLEY D , GUHA R . RDF vocabulary description language 1.0:RDF schema[Z]. 2004. |
[14] | MCGUINNESS D L , ED F H . OWL Web ontology language overview[Z]. 2004. |
[15] | HARMELEN F V , LIFSCHITZ V , PORTER B . Handbook of knowledge representation[M].[S.l.]: Elsevier, 2008. |
[16] | 石莲, 孙吉贵 . 描述逻辑综述[J]. 计算机科学, 2006,33(1): 194-197,225. |
SHI L , SUN J G . Description logic survey[J]. Computer Science, 2006,33(1): 194-197,225. | |
[17] | TSARKOV D , HORROCKS I . FaCT++ description logic reasoner:system description[C]// Proceedings of the 3rd International Joint Conference on Automated Reasoning. Heidelberg:Springer, 2006. |
[18] | HAARSLEV V , M?LLER R . RACER system description[C]// Proceedings of the 1st International Joint Conference on Automated Reasoning. Heidelberg:Springer, 2001: 701-706. |
[19] | SIRIN E , PARSIA B , GRAU B C ,et al. Pellet:a practical OWL-DL reasoner[J]. Journal of Web Semantics, 2007,5(2): 51-53. |
[20] | SHEARER R , MOTIK B , HORROCKS I . HermiT:a highly-efficient OWL reasoner[C]// Proceedings of the 5th OWLED Workshop on OWL:Experiences and Directions,Collocated with the 7th International Semantic Web Conference.[S.l.:s.n.], 2008. |
[21] | HORROCKS I , PATEL-SCHNEIDER P F , BOLEY H ,et al. SWRL:a semantic Web rule language combining OWL and RuleML[J]. W3C Member Submission, 2004,21(79): 1-31. |
[22] | HAROLD B , PASCHKE A , SHAFIQ O . RuleML 1.0:the overarching specification of web rules[C]// Proceedings of the International Workshop on Rules and Rule Markup Languages for the Semantic Web. Heidelberg:Springer, 2010: 162-178. |
[23] | STERLING L , SHAPIRO E . The art of Prolog - advanced programming techniques[M].2nd ed.[S.l.:s.n.], 1986. |
[24] | TENORTH M , BEETZ M . KnowRob:a knowledge processing infrastructure for cognition-enabled robots[J]. The International Journal of Robotics Research, 2013,32(5): 566-590. |
[25] | BEETZ M , BE?LER D ,, HAIDU A , et al.Know rob 2 . 0—a 2nd generation knowledge processing framework for cognition-enabled robotic agents[C]// Proceedings of 2018 IEEE International Conference on Robotics and Automation. Piscataway:IEEE Press, 2018: 512-519. |
[26] | WIELEMAKER J , SCHRIJVERS T , TRISKA M ,et al. SWI-Prolog[J]. Theory and Practice of Logic Programming, 2012,12(1/2): 67-96. |
[27] | LEMAIGNAN S . Grounding the interaction:knowledge management for interactive robots[J]. KI-Künstliche Intelligenz, 2013,27(2): 183-185. |
[28] | LEMAIGNAN S , ROS R , M?SENLECHNER L , ,et al. ORO,a knowledge management platform for cognitive architectures in robotics[J]. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010: 3548-3553. |
[29] | LENAT D B . CYC:a large-scale investment in knowledge infrastructure[J]. Communications of the ACM, 1995,38(11): 33-38. |
[30] | BRUNO B , CHONG N Y , KAMIDE H ,et al. The CARESSES EU-Japan project:making assistive robots culturally competent[C]// Proceedings of the Ambient Assisted Living.[S.l.:s.n.], 2017. |
[31] | BRUNO B , CHONG N Y , KAMIDE H ,et al. Paving the way for culturally competent robots:a position paper[C]// Proceedings of 2017 26th IEEE International Symposium on Robot and Human Interactive Communication. Piscataway:IEEE Press, 2017: 553-560. |
[32] | WAIBEL M , BEETZ M , CIVERA J ,et al. RoboEarth[J]. IEEE Robotics & Automation Magazine, 2011,18(2): 69-82. |
[33] | BEETZ M , TENORTH M , WINKLER J . Open-EASE[C]// Proceedings of 2015 IEEE International Conference on Robotics and Automation. Piscataway:IEEE Press, 2015: 1983-1990. |
[34] | SAXENA A , JAIN A , SENER O ,et al. RoboBrain:large-scale knowledge engine for robots[J]. arXiv preprint,2014,arXiv:1412.0691. |
[35] | ZHAI Z Y , MARTíNEZ ORTEGA J F ,, LUCAS MARTíNEZ N ,et al. A rule-based reasoner for underwater robots using OWL and SWRL[J]. Sensors, 2018,18(10): 3481. |
[36] | SUN X L , ZHANG Y , CHEN J . High-level smart decision making of a robot based on ontology in a search and rescue scenario[J]. Future Internet, 2019,11(11): 230. |
[37] | HERNANDEZ C C , MILOSEVIC Z , OLIVARES C ,et al. Meta-control and self-awareness for the UX-1 autonomous underwater robot[M]// Robot 2019:fourth iberian robotics conference.[S.l.:s.n.], 2020. |
[38] | SUN X H , LU F , LI Q . The task reasoning of service robot based on ontology technology[C]// Proceedings of 2017 Chinese Automation Congress. Piscataway:IEEE Press, 2017: 3554-3559. |
[39] | PANE Y , ARBO M H , AERTBELI?N E , ,et al. A system architecture for CAD-based robotic assembly with sensor-based skills[J]. IEEE Transactions on Automation Science and Engineering, 2020,17(3): 1237-1249. |
[40] | BEUVRON F D B D , MARC-ZWECKER S , ZANNI-MERK C . Combining qualitative spatial reasoning and ontological reasoning for supporting robot tasks[C]// Proceedings of the International Conference on Knowledge Engineering and Ontology Development.[S.l.:s.n.], 2015. |
[41] | ROST P , HOTZ L , RIEGEN S V . Supporting mobile robot’s tasks through qualitative spatial reasoning[C]// Proceedings of the 9th International Conference on Informatics in Control,Automation and Robotics.[S.l.:s.n.], 2012. |
[42] | QIAN K , MA X D , DAI X Z ,et al. Knowledge-enabled decision making for robotic system utilizing ambient service components[J]. Journal of Ambient Intelligence and Smart Environments, 2014,6(1): 5-19. |
[43] | AKKALADEVI S C , PLASCH M , EITZINGER C ,et al. Towards a context enhanced framework for multi object tracking in human robot collaboration[C]// Proceedings of 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway:IEEE Press, 2018: 168-173. |
[44] | THRUN S . Probabilistic robotics[J]. Communications of the ACM, 2002,45(3): 52-57. |
[45] | GETOOR L , TASKAR B . Introduction to statistical relational learning[M].[S.l.]: The MIT Press, 2007. |
[46] | RICHARDSON M , DOMINGOS P . Markov logic networks[J]. Machine Learning, 2006,62(1/2): 107-136. |
[47] | LASKEY K B . MEBN:a language for first-order Bayesian knowledge bases[J]. Artificial Intelligence, 2008,172(2/3): 140-178. |
[48] | JAIN D , WALDHERR S , BEETZ M . Bayesian logic networks[R]. 2009. |
[49] | CARVALHO R N , LASKEY K B , COSTA P C G . PR-OWL - a language for defining probabilistic ontologies[J]. International Journal of Approximate Reasoning, 2017,91: 56-79. |
[50] | DA C P C G , LASKEY K B , LASKEY K J . PR-OWL:a Bayesian ontology language for the semantic Web[J]. CEUR Workshop Proceedings, 2005,173: 88-107. |
[51] | BENNETT B , FELLBAUM C . Formal ontology in information systems[C]// Proceedings of the 4th International Conference.[S.l.:s.n.], 2006. |
[52] | KAHLE D. Junction tree algorithm[Z]. 2008. |
[53] | FAN J L . Message-passing algorithm[M]// Constrained coding and soft iterative decoding. Boston: Springer, 2001: 23-96. |
[54] | GALV?O R K H , ARAúJO M C U , FRAGOSO W D ,et al. A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm[J]. Chemometrics and Intelligent Laboratory Systems, 2008,92(1): 83-91. |
[55] | LI X , BILBAO S , MARTíN-WANTON T , ,et al. SWARMs ontology:a common information model for the cooperation of underwater robots[J]. Sensors (Basel,Switzerland), 2017,17(3): 569. |
[56] | LI X , MARTíNEZ J F , RUBIO G ,et al. Context reasoning in underwater robots using MEBN[J]. arXiv preprint,2017,arXiv:1706.07204. |
[57] | LI X , MARTíNEZ J F , RUBIO G . Towards a hybrid approach to context reasoning for underwater robots[J]. Applied Sciences, 2017,7(2): 183. |
[58] | LI C C , TIAN G H . Transferring the semantic constraints in human manipulation behaviors to robots[J]. Applied Intelligence, 2020,50(6): 1711-1724. |
[59] | WANG S , ZHANG Y , LIAO Z Y . Building domain-specific knowledge graph for unmanned combat vehicle decision making under uncertainty[C]// Proceedings of 2019 Chinese Automation Congress. Piscataway:IEEE Press, 2019: 4718-4721. |
[60] | TENORTH M , DE LA TORRE F , BEETZ M . Learning probability distributions over partially-ordered human everyday activities[C]// Proceedings of 2013 IEEE International Conference on Robotics and Automation. Piscataway:IEEE Press, 2013: 4539-4544. |
[61] | PANGERCIC D , TENORTH M , JAIN D ,et al. Combining perception and knowledge processing for everyday manipulation[C]// Proceedings of 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway:IEEE Press, 2010: 1065-1071. |
[62] | HIGGINS I , MATTHEY L , PAL A ,et al. Beta-VAE:learning basic visual concepts with a constrained variational framework[C]// Proceedings of the International Conference on Learning Representations.[S.l.:s.n.], 2016. |
[63] | ALI ESLAMI S M , REZENDE D J , BESSE F ,et al. Neural scene representation and rendering[J]. Science, 2018,360(6394): 1204-1210. |
[64] | MAO J Y , GAN C , KOHLI P ,et al. The neuro-symbolic concept learner:interpreting scenes,words,and sentences from natural supervision[J]. arXiv preprint,2019,arXiv:1904.12584. |
[65] | BATTAGLIA P W , HAMRICK J B , BAPST V ,et al. Relational inductive biases,deep learning,and graph networks[J]. arXiv preprint,2018,arXiv:1806.01261. |
[66] | KIPF T N , WELLING M . Semi-supervised classification with graph convolutional networks[J]. arXiv preprint,2016,arXiv:1609.02907. |
[67] | SUNG F , YANG Y X , ZHANG L ,et al. Learning to compare:relation network for few-shot learning[J]. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018: 1199-1208. |
[68] | BRONSTEIN M M , BRUNA J , LECUN Y ,et al. Geometric deep learning:going beyond euclidean data[J]. IEEE Signal Processing Magazine, 2017,34(4): 18-42. |
[69] | KIPF T , FETAYA E , WANG K C ,et al. Neural relational inference for interacting systems[J]. arXiv preprint,2018,arXiv:1802.04687. |
[70] | YI K X , GAN C , LI Y Z ,et al. Clevrer:collision events for video representation and reasoning[J]. arXiv preprint,2019,arXiv:1910.01442. |
[71] | DING M Y , CHEN Z F , DU T ,et al. Dynamic visual reasoning by learning differentiable physics models from video and language[J]. arXiv preprint,2021,arXiv:2110.15358. |
[72] | GOODFELLOW I J , POUGET-ABADIE J , MIRZA M ,et al. Generative adversarial nets[J]. Proceedings of the 27th International Conference on Neural Information Processing Systems, 2014,2: 2672-2680. |
[73] | CAI L W , WANG Y W . KBGAN:adversarial learning for knowledge graph embeddings[J]. arXiv preprint,2017,arXiv:1711.04071. |
[74] | WANG P F , LI S Y , PAN R . Incorporating GAN for negative sampling in knowledge representation learning[J]. arXiv preprint,2018,arXiv:1809.11017. |
[75] | QIN P D , WANG X , CHEN W H ,et al. Generative adversarial zero-shot relational learning for knowledge graphs[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 2020,34(5): 8673-8680. |
[76] | BI Y C . Dual coding of knowledge in the human brain[J]. Trends in Cognitive Sciences, 2021,25(10): 883-895. |
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