Name
Abstract | ||
|---|---|---|
Knowledge inference is a process of generating implicit information from explicit facts. Traditionally knowledge inference is performed at servers in a centralized way. The paper proposes the in-network support for knowledge inference and reasoning, facilitated by the recently thriving Internet framework, named New IP. The paper focuses on the enhanced functionalities, including how to aggregate and announce the locally cached knowledge to neighbors, how to build reasoning message forward base to better route the request message, such that requesters could experience the shortest latency. The performance analysis and performance evaluation demonstrate the benefits brought by the proposed schemes. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00043 | 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) |
Keywords | DocType | ISBN |
In-network intelligence,knowledge reasoning,knowledge inference,New IP,rule,knowledge aggregation,knowledge announcement,reasoning message forwarding base | Conference | 978-1-7281-7648-2 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lijun Dong | 1 | 0 | 1.01 |
| Richard Y. M. Li | 2 | 36 | 9.97 |