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dc.contributor.authorLing, Cai-
dc.contributor.authorKrzysztof, Janowicz-
dc.contributor.authorRui, Zhu-
dc.date.accessioned2023-03-30T07:40:57Z-
dc.date.available2023-03-30T07:40:57Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s10707-022-00469-y-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/7339-
dc.descriptionCC BYvi
dc.description.abstractQualitative spatial/temporal reasoning (QSR/QTR) plays a key role in research on human cognition, e.g., as it relates to navigation, as well as in work on robotics and artificial intelligence. Although previous work has mainly focused on various spatial and temporal calculi, more recently representation learning techniques such as embedding have been applied to reasoning and inference tasks such as query answering and knowledge base completion. These subsymbolic and learnable representations are well suited for handling noise and efficiency problems that plagued prior work.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectQualitative spatial/temporal reasoningvi
dc.subjectsubsymbolicvi
dc.titleHyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoningvi
dc.typeBookvi
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