Data integration is the process that gives users access to multiple data sources though queries against a global schema. Semantic heterogeneity has been identified as the most imp...
Ladjel Bellatreche, Guy Pierra, Dung Nguyen Xuan, ...
Abstract. Data integration plays a major role in modern Life Sciences research primarily because required resources are geographically distributed across continents and experts dep...
In many data-centric applications, it is desirable to use OWL as an expressive schema language with which one expresses constraints that must be satisfied by instance data. Howeve...
In many data-centric applications, it is desirable to use OWL as an expressive schema language with which one expresses constraints that must be satisfied by instance data. However...
Jiao Tao, Evren Sirin, Jie Bao, Deborah L. McGuinn...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...