The Minnesota Landscape Arboretum at the University of Minnesota is hosting a series of Eco-Networking events to bring together professionals to engage in experiential networking - an opportunity to uncover practical solutions to everyday sustainability challenges.
The first in our series - "Sustainability: It's What's for Lunch" included a tour of the Arboretum's sustainable practices: the Composting Site and the Green Certified Arboretum Restaurant. Professionals came together for a Q&A session with industry experts to find practical solutions.
For more information on this event and future Eco-Networking Events, please contact Beverly Anglum at anglu001@umn.edu
www.arboretum.umn.edu
The Minnesota Landscape Arboretum at the University of Minnesota is hosting a series of Eco-Networking events to bring together professionals to engage in experiential networking - an opportunity to uncover practical solutions to everyday sustainability challenges.
The first in our series - "Sustainability: It's What's for Lunch" included a tour of the Arboretum's sustainable practices: the Composting Site and the Green Certified Arboretum Restaurant. Professionals came together for a Q&A session with industry experts to find practical solutions.
For more information on this event and future Eco-Networking Events, please contact Beverly Anglum at anglu001@umn.edu
www.arboretum.umn.edu
A Method for Detecting Behavior-Based User Profiles in Collaborative Ontology...Sven Van Laere
Ontology engineering is far from trivial and most collaborative methods and tools start from a predefined set of rules, stakeholders can have in the ontology engineering process. We, however, believe that the different types of user behavior are not known a priori and depend on the ontology engineering project. The detection of such user profiles based on unsupervised learning allows finding roles and responsibilities along peers in a collaborative setting. In this paper, we present a method for automatic detection of user profiles in a collaborative ontology engineering environment by means of the K-means clustering algorithm only by looking at the type of interactions a user makes. In this paper we use the GOSPL ontology engineering tool and method to demonstrate this method. The data used to demonstrate the method stems from two ontology engineering projects involving respectively 42 and 36 users.
Mapping of Terminology Standards, a Way for Interoperability (Position Paper)Sven Van Laere
Standards in medicine are essential to enable communication between healthcare providers. These standards can be used either for exchanging information, or for coding and documenting the health status of a patient. In this position paper we focus on the latter, namely terminology standards. However, the multidisciplinary field of medicine makes use of many different standards. We propose to invest in an interoperable electronic health record (EHR) that can be understood by all different levels of health care providers independent of the kind of terminology standard they use. To make this record interoperable, we suggest mapping standards in order to make uniform communication possible. We suggest using mappings between a reference
terminology (RT) and other terminology standards. By using this approach we limit the number of mappings that have to be provided. The Systematized Nomenclature of Medicine, Clinical Terms (SNOMED CT) can be used as a RT, because of its extensive character and the preserved semantics towards other terminology standards. Moreover, a lot of mappings from SNOMED CT to other standards are already defined previously.
A Method for Detecting Behavior-Based User Profiles in Collaborative Ontology...Sven Van Laere
Ontology engineering is far from trivial and most collaborative methods and tools start from a predefined set of rules, stakeholders can have in the ontology engineering process. We, however, believe that the different types of user behavior are not known a priori and depend on the ontology engineering project. The detection of such user profiles based on unsupervised learning allows finding roles and responsibilities along peers in a collaborative setting. In this paper, we present a method for automatic detection of user profiles in a collaborative ontology engineering environment by means of the K-means clustering algorithm only by looking at the type of interactions a user makes. In this paper we use the GOSPL ontology engineering tool and method to demonstrate this method. The data used to demonstrate the method stems from two ontology engineering projects involving respectively 42 and 36 users.
Mapping of Terminology Standards, a Way for Interoperability (Position Paper)Sven Van Laere
Standards in medicine are essential to enable communication between healthcare providers. These standards can be used either for exchanging information, or for coding and documenting the health status of a patient. In this position paper we focus on the latter, namely terminology standards. However, the multidisciplinary field of medicine makes use of many different standards. We propose to invest in an interoperable electronic health record (EHR) that can be understood by all different levels of health care providers independent of the kind of terminology standard they use. To make this record interoperable, we suggest mapping standards in order to make uniform communication possible. We suggest using mappings between a reference
terminology (RT) and other terminology standards. By using this approach we limit the number of mappings that have to be provided. The Systematized Nomenclature of Medicine, Clinical Terms (SNOMED CT) can be used as a RT, because of its extensive character and the preserved semantics towards other terminology standards. Moreover, a lot of mappings from SNOMED CT to other standards are already defined previously.