Members of the IETF Centralized Conferencing (XCON) Working Group have
released an updated draft for the "Conference Information Data Model
for Centralized Conferencing (XCON)" specification. The document
defines an Extensible Markup Language (XML)-based conference information
data model for centralized conferencing (XCON). A conference information
data model is designed to convey information about the conference and
about participation in the conference. The conference information data
model defined in this document constitutes an extension of the data
format specified in the Session Initiation Protocol (SIP) Event Package
for Conference State. Appendix A supplies a Non-Normative RELAX NG Schema
in XML format. Conference objects are a fundamental concept in
Centralized Conferencing, as described in the "Centralized Conferencing
Framework." A conference object contains data that represents a
conference during each of its various stages (e.g., created/creation,
reserved/reservation, active/activation, completed/completion). A
conference object contains the core information of a conference (i.e.,
capabilities, membership, call control signaling, media, etc.) and
specifies who, and in which way that information can be manipulated. A
conference object can be manipulated using a conference control protocol
at a conference server. The conference object represents a particular
instantiation of a conference information data model. The core data set
called the 'conference information data model' is defined in this
document using an Extensible Markup Language (XML)-based language. The
data model specified in this document is the result of extending the
data format defined in RFC 4575 (A Session Initiation Protocol - SIP)
with new elements. Examples of such extensions include scheduling elements,
media control elements, floor control elements, non-SIP URIs, and
addition of localization extensions to text elements. This data model
can be used by conference servers providing different types of basic
conferences. It is expected that this data model can be further extended
with new elements in the future in order to implement additional advanced
features. More Information
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