图 书 馆开课单位--莱特州立大学
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1A Complex Alignment Benchmark: GeoLink Dataset[一个复杂的对齐基准：GeoLink数据集]
Lu Zhou(莱特州立大学) Ontology alignment has been studied for over a decade, and over that time many alignment systems and methods have been developed by researchers in ord...
热度：32
Lu Zhou(莱特州立大学) Ontology alignment has been studied for over a decade, and over that time many alignment systems and methods have been developed by researchers in ord...
热度：32
2Rule-Based OWL Modeling with ROWLTab Protégé Plugin[基于ROWLTab ProtégéPlugin的OWL规则建模]
Pascal Hitzler(莱特州立大学) It has been argued that it is much easier to convey logical statements using rules rather than OWL (or description logic (DL)) axioms. Based on recent...
热度：66
Pascal Hitzler(莱特州立大学) It has been argued that it is much easier to convey logical statements using rules rather than OWL (or description logic (DL)) axioms. Based on recent...
热度：66
3Research 5: A Framework for Schema-Driven Relationship Discovery from Unstructured text[研究5：一个模式驱动的关系发现从非结构化的文本框架]
Cartic Ramakrishnan(莱特州立大学) Research 5: A Framework for Schema-Driven Relationship Discovery from Unstructured text.
热度：47
Cartic Ramakrishnan(莱特州立大学) Research 5: A Framework for Schema-Driven Relationship Discovery from Unstructured text.
热度：47
4Dynamic Sensor Registration and Semantic Processing for ad-hoc MOBile Environments (SemMOB)[动态传感器配准和特设移动环境下的语义加工(SemMOB)]
Pramod Anantharam(莱特州立大学) SemMOB enables dynamic registration of sensors via mobile devices, search, and near real-time inference over sensor observations in ad-hoc mobile envi...
热度：47
Pramod Anantharam(莱特州立大学) SemMOB enables dynamic registration of sensors via mobile devices, search, and near real-time inference over sensor observations in ad-hoc mobile envi...
热度：47
5Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications[公民传感器数据挖掘，社交媒体分析和开发中心Web应用程序]
Selvam Velmurugan; Amit Sheth(莱特州立大学) With the rapid rise in the popularity of social media (500M+ Facebook users, 100M+ twitter users), and near ubiquitous mobile access (4.1 billion acti...
热度：45
Selvam Velmurugan; Amit Sheth(莱特州立大学) With the rapid rise in the popularity of social media (500M+ Facebook users, 100M+ twitter users), and near ubiquitous mobile access (4.1 billion acti...
热度：45
6An Efficient Bit Vector Approach to Semantics-based Machine Perception in Resource-Constrained Devices[一种基于语义的资源受限设备机器感知的有效位向量方法]
Cory Henson(莱特州立大学) The primary challenge of machine perception is to define efficient computational methods to derive high-level knowledge from low-level sensor observat...
热度：74
Cory Henson(莱特州立大学) The primary challenge of machine perception is to define efficient computational methods to derive high-level knowledge from low-level sensor observat...
热度：74
7Local closed world semantics: Grounded circumscription for OWL[本地闭合世界语义：OWL的基础限制]
Kunal Sengupta(莱特州立大学) We present a new approach to adding closed world reasoning to the Web Ontology Language OWL. It transcends previous work on circumscriptive descriptio...
热度：80
Kunal Sengupta(莱特州立大学) We present a new approach to adding closed world reasoning to the Web Ontology Language OWL. It transcends previous work on circumscriptive descriptio...
热度：80
8Logical Linked Data Compression[逻辑链接数据压缩]
Amit Krishna Joshi, Laura Hollink(莱特州立大学) Linked data has experienced accelerated growth in recent years. With the continuing proliferation of structured data, demand for RDF compression is be...
热度：31
Amit Krishna Joshi, Laura Hollink(莱特州立大学) Linked data has experienced accelerated growth in recent years. With the continuing proliferation of structured data, demand for RDF compression is be...
热度：31
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