图 书 馆开课单位--伦斯勒理工学院
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1Wither OWL in a knowledge-graphed, Linked-Data World?[在一个知识图谱、链接数据的世界里，有OWL吗？]
Jim Hendler(伦斯勒理工学院) The need for ontologies in the real world is manifest and increasing. On the Web, ontologies are increasingly needed — but OWL isn’t being...
热度：22
Jim Hendler(伦斯勒理工学院) The need for ontologies in the real world is manifest and increasing. On the Web, ontologies are increasingly needed — but OWL isn’t being...
热度：22
2Knowledge Integration for Disease Characterization: A Breast Cancer Example[疾病特征的知识整合：乳腺癌示例]
Oshani Seneviratne(伦斯勒理工学院) With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and ...
热度：41
Oshani Seneviratne(伦斯勒理工学院) With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and ...
热度：41
3Deep learning for noise-tolerant RDFS reasoning[抗噪声RDFS推理的深度学习]
James A. Hendler(伦斯勒理工学院) Deep learning for noise-tolerant RDFS reasoning
热度：35
James A. Hendler(伦斯勒理工学院) Deep learning for noise-tolerant RDFS reasoning
热度：35
4FoodKG: Semantics-Driven Knowledge Graph for Food Recommendation[FoodKG：用于食品推荐的语义驱动知识图]
Steven Haussmann(伦斯勒理工学院) FoodKG: Semantics-Driven Knowledge Graph for Food Recommendation
热度：87
Steven Haussmann(伦斯勒理工学院) FoodKG: Semantics-Driven Knowledge Graph for Food Recommendation
热度：87
5Fighting the Tuberculosis Pandemic Using Machine Learning[利用机器学习抗击结核病大流行]
Kristin P. Bennett(伦斯勒理工学院) Tuberculosis (TB) infects one third of the world's population and is the second leading cause of death from a single infectious agent worldwide. T...
热度：65
Kristin P. Bennett(伦斯勒理工学院) Tuberculosis (TB) infects one third of the world's population and is the second leading cause of death from a single infectious agent worldwide. T...
热度：65
6Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals[皮质电图信号中手指屈曲的解剖约束解码]
Qiang Ji(伦斯勒理工学院) Brain-computer interfaces (BCIs) use brain signals to convey a user's intent. Some BCI approaches begin by decoding kinematic parameters of moveme...
热度：39
Qiang Ji(伦斯勒理工学院) Brain-computer interfaces (BCIs) use brain signals to convey a user's intent. Some BCI approaches begin by decoding kinematic parameters of moveme...
热度：39
7"Why the Semantic Web will never work"[“为什么语义网永远无法工作”]
Jim Hendler;Grigoris Antoniou(伦斯勒理工学院) James Hendler is the Tetherless World Professor of Computer and Cognitive Science, and the Assistant Dean for Information Technology and Web Science, ...
热度：43
Jim Hendler;Grigoris Antoniou(伦斯勒理工学院) James Hendler is the Tetherless World Professor of Computer and Cognitive Science, and the Assistant Dean for Information Technology and Web Science, ...
热度：43
8A Semantic Portal for Next Generation Monitoring Systems[下一代监控系统的语义门户]
Patton Evan W(伦斯勒理工学院) We present a semantic technology-based approach to emerging monitoring systems based on our linked data approach in the Tetherless World Constellation...
热度：50
Patton Evan W(伦斯勒理工学院) We present a semantic technology-based approach to emerging monitoring systems based on our linked data approach in the Tetherless World Constellation...
热度：50
9Enabling ne-grained HTTP caching of SPARQL query results[使SPARQL的细粒度HTTP查询结果缓存有可能]
Gregory Todd Williams(伦斯勒理工学院) As SPARQL endpoints are increasingly used to serve linked data, their ability to scale becomes crucial. Although much work has been done to improve qu...
热度：47
Gregory Todd Williams(伦斯勒理工学院) As SPARQL endpoints are increasingly used to serve linked data, their ability to scale becomes crucial. Although much work has been done to improve qu...
热度：47
10Social Networks - Discussion[社交网络-讨论]
Barry Smyth; Edward Chang; Peter Briggs; Sanmay Das; Malik Magdon-Ismail;Joaquin Quiñonero Candela(伦斯勒理工学院) 关于社交网络的讨论
热度：36
Barry Smyth; Edward Chang; Peter Briggs; Sanmay Das; Malik Magdon-Ismail;Joaquin Quiñonero Candela(伦斯勒理工学院) 关于社交网络的讨论
热度：36