
Discovery is one of the most important activities in ubiquitous and distributed computing, with a plethora of available protocols. Most of these protocols are designed for one concrete purpose: network nodes discovery, service discovery, search of specific information stored through the network, and so forth. Designing a single discovery system able to deal with the particularities of many different information structures and purposes seems not feasible. Moreover, these data structures possess some underlaying meanings and relationships that are usually hidden from traditional discovery protocols that use simple text-based matchmaking. A semantic discovery protocol could solve this problem by taking advantage of semantically annotated data and performing reasoning over the information to obtain additional knowledge that can be crucial in processing the queries. In this paper, we describe the basics of a novel semantic discovery mechanism called mRDP (Multicast Resource Discovery Protocol) built upon HTTP and Semantic Web technology to provide more powerful discovery capabilities.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
