Name
Abstract | ||
|---|---|---|
Advances of sensor and RFID technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identification of objects with unique IDs without line of sight, thus it can be used for identifying, locating, tracking and monitoring physical objects. Despite these benefits, RFID poses many challenges for data processing and management: i) RFID observations contain duplicates, which have to be filtered; ii) RFID observations have implicit meanings, which have to be transformed and aggregated into semantic data represented in their data models; and iii) RFID data are temporal, streaming, and in high volume, and have to be processed on the fly. Thus, a general RFID data processing framework is needed to automate the transformation of physical RFID observations into the virtual counterparts in the virtual world linked to business applications. In this paper, we take an event-oriented approach to process RFID data, by devising RFID application logic into complex events. We then formalize the specification and semantics of RFID events and rules. We demonstrate that traditional ECA event engine cannot be used to support highly temporally constrained RFID events, and develop an RFID event detection engine that can effectively process complex RFID events. The declarative event-based approach greatly simplifies the work of RFID data processing, and significantly reduces the cost of RFID data integration. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11687238_36 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
virtual world,rfid observation,complex rfid event,rfid technology,devising rfid application logic,rfid data stream,rfid data processing,rfid data,complex event processing,rfid data integration,rfid event detection engine,general rfid data,rfid event,data processing,reactive system,radio frequency identification,semantics,virtual reality,information integration,virtual worlds,database,localization,data collection,data flow,data models,temporal databases,data integrity | Data integration,Information integration,Data modeling,Data stream mining,Computer science,Complex event processing,Radio-frequency identification,Distributed computing,Data flow diagram,Semantic data model | Conference |
Volume | ISSN | ISBN |
3896 | 0302-9743 | 3-540-32960-9 |
Citations | PageRank | References |
95 | 4.44 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fusheng Wang | 1 | 1026 | 79.28 |
| Shaorong Liu | 2 | 370 | 17.59 |
| Peiya Liu | 3 | 502 | 35.42 |
| Yijian Bai | 4 | 285 | 14.45 |