Database Reference
In-Depth Information
have CPU, memory, a low power communication device, and are
battery operated. Since, each of these devices would require its
own IP-address, a large part of this vision is also about develop-
ing the internet infrastructure to accommodate the ever-expanding
number of “things” which require connectivity. A classic example
of the efforts in this space include the development of IPv6, which
has a much larger addressable IP-space. This vision also supports
the development of the
webofthings
, in which the focus is to
re-use the web-based internet standards and protocols to connect
the expanding eco-system of embedded devices built into everyday
smart objects [45]. This re-use ensures that widely accepted and
understood standards such as URI, HTTP, etc. are used to access
the functionality of the smart objects. This approach exposes the
synchronous functionality of smart objects through a
REST inter-
face
. The REST interface defines the notion of a resource as any
component of an application that is worth being uniquely iden-
tified and linked to. On the Web, the identification of resources
relies on Uniform Resource Identifiers (URIs), and representations
retrieved through resource interactions contain links to other re-
sources [46]. This means that applications can follow links through
an interconnected web of resources. Similar to the web, clients of
such services can follow these links in order to find resources to
interact with. Therefore, a client may explore a service by brows-
ing it, and the services will use different link types to represent
different relationships.
Semantic-oriented Vision:
The semantic vision addresses the
issues of data management which arise in the context of the vast
amounts of information which are exchanged by smart objects, and
the resources which are available through the web interface. The
idea is that standardized resource descriptions are critical to enable
interoperability of the heterogeneous resources available through
the web of things. The semantic vision is really about the separa-
tion of the meanings of data, from the actual data itself. The idea
here is that the semantic meanings of objects are stored separately
from the data itself, and effective tools for the management of this
information. A key capability that this enables in
semantic inter-
operability and integration
5semantic i.e., across the sensor data
from various sensors.
The diversity of these visions is a result of the diversity in the stake-
holders involved in the building of this vision, and also because the vast
