imported>KennethBaclawski: Fix PurpleMediaWiki references

2016-01-09T06:25:17Z

Fix PurpleMediaWiki references

New page

== Preparation workspace for: Emerging Ontology Showcase - Session-2 - ConferenceCall_2008_10_16 ==

== Organization ==

* Co-Chairs: [[User:KennethBaclawski|Ken Baclawski]] and [[MikeBennett|Mike Bennett]]
* Program Committee: [[LeoObrst|Leo Obrst]], [[KurtConrad|Kurt Conrad]] and [[PeterYim|Peter P. Yim]]

== Tentative Schedule ==

* 1:30 - 1:45 Technical issues and participant introductions (if audience is small enough).
* 1:45 - 1:50 Session Introduction (KenBaclawski)
* 1:50 - 2:25 Sven Van Poucke: The Wound Ontology
* 2:25 - 3:00 Martin Hepp: The [http://purl.org/goodrelations/ GoodRelations] Ontology
* 3:00 - 3:25 General discussion
* 3:25 - 3:30 Wrap-up (KenBaclawski)

== Titles and Abstracts ==

'''Ontologists and Domain Experts focusing on Chronic Wounds : Different
Worlds on the Same Planet? - [[SvenVanPoucke]]'''

:'''Abstract:''' This session will present the painstaking process of a clinical
and scientific community in their effort to quantify the healing of chronic
wounds by the deployment of a platform for semantic knowledge extraction.

:The [http://www.woundontology.com Woundontology Consortium] is a semi-open, international, virtual community of practice devoted to advancing the field of research in non-invasive wound assessment by image analysis, ontology and semantic interpretation and knowledge extraction (content-based visual information retrieval).

:Professionals dealing with wound patients make clinical decisions
principally, but not solely based on their visual perception. The
descriptive analysis of wounds however is poorly standardized and rarely
reproducible.

:There is a consensus within the wound care community that a systemic
approach to the patient's assessment is necessary to treat a chronic wound
("Look at the whole patient, not just the hole in the patient.").
Therefore, digital imaging of wounds constitutes only a small piece of the
assessment process. During the assessment of wounds, the experience of the
clinician plays a significant role in identifying the actual state of a
wound. The assessment is carried out visually and qualitatively based on
his-her subjective experience. Therefore, this procedure suffers from
potential interpretational variability, lack of comparative analysis, and
it is time consuming.

:It is quite interesting to observe that in a era of considerable pressure
on economical resources for health care, systems such as the
red-yellow-black wound classification system of the wound bed color, their
possible relation with a wound healing phase and their possible underlying
organic meaning (the nonuniform mixture of black necrotic eschar, yellow
necrosis and fibrin (slough), and red granulation tissue, ...), continue to
be the cornerstone of clinical guidelines and protocols, and are published
by international societies and key opinion leaders without any semantic,
ontologic or colorimetric formal description, definition or consensus of
the used terminology.

'''The [http://purl.org/goodrelations/ GoodRelations] Ontology: Making Semantic Web-based E-Commerce a Reality - MartinHepp'''

:'''Abstract:''' A promising application domain for Semantic Web technology is the annotation of products and services offerings on the Web so that consumers and enterprises can search for suitable suppliers using products and services ontologies. While there has been substantial progress in developing ontologies for types of products and services, namely <nowiki>e[[ClassOWL]]</nowiki>, this alone does not provide the representational means required for e-commerce on the Semantic Web. Particularly missing is an ontology that allows describing the relationships between (1) Web resources, (2) offerings made by means of those Web resources, (3) legal entities, (4) prices, (5) terms and conditions, and (6) the aforementioned ontologies for products and services.

:In the talk, I will explain the need and potential of the <nowiki>GoodRelations</nowiki> ontology, introduce its key conceptual elements, highlight several lessons learned, and summarize design decisions with respect to to modeling approaches and the appropriate language fragment, which may be relevant for other ontology projects, too.

[[Category:WorkSpace]] [[Category:EmergingOntologyShowcase]]

ConferenceCall 2008 10 16/Prep - Revision history

imported>KennethBaclawski: Fix PurpleMediaWiki references