Add to ORKGAbstract Collaborative knowledge discovery is a promising approach by which people with no data analytics expertise could benefit from an analysis of their own personal data by experts. To facilitate effective collaboration between data owners and knowledge discovery experts, we have developed a software platform that uses a domain ontology to represent knowledge relevant to the execution of the collaborative knowledge discovery process. The ontology provides classes representing the main elements of collaborations: collaborators and datasets. Furthermore, the ontology enables the specification of privacy constraints that determine the precise extent to which a given dataset of personal data is shared with a given collaborator. We have dev...
We present a technique that enables a software agent to augment its ontology with domain related con...
eServices in the area of healthcare are developing quickly. Providing services for researchers in he...
Most organisations store their data in several databases with no flexible mechanism for integration ...
Collaborative knowledge discovery is a promising approach by which people with no data analytics exp...
Many people could benefit from collecting and analyzing their own personal digital data, but most do...
Personal wellness data collected using wearable devices is a valuable resource, potentially containi...
Abstract Personal wellness data collected using wearable devices is a valuable resource, potentiall...
Data Mining analyses the stocked data and helps in foretelling the future trends. There are differen...
Many geoscientists use modern computational resources, such as software applications, Web services, ...
Many geoscientists use modern computational resources, such as software applications, Web services, ...
The Internet has solved the age-old problem of network connectivity and thus enabling the potential ...
Abstract:- The dramatically explosion of data and the growing number of different data sources are e...
Abstract- Data Mining is the process of extracting potentially useful knowledge from raw data. This ...
We present work in progress on a new methodology for leveraging the semantic content of ontologies t...
We present a technique that enables a software agent to augment its ontology with domain related con...
We present a technique that enables a software agent to augment its ontology with domain related con...
eServices in the area of healthcare are developing quickly. Providing services for researchers in he...
Most organisations store their data in several databases with no flexible mechanism for integration ...
Collaborative knowledge discovery is a promising approach by which people with no data analytics exp...
Many people could benefit from collecting and analyzing their own personal digital data, but most do...
Personal wellness data collected using wearable devices is a valuable resource, potentially containi...
Abstract Personal wellness data collected using wearable devices is a valuable resource, potentiall...
Data Mining analyses the stocked data and helps in foretelling the future trends. There are differen...
Many geoscientists use modern computational resources, such as software applications, Web services, ...
Many geoscientists use modern computational resources, such as software applications, Web services, ...
The Internet has solved the age-old problem of network connectivity and thus enabling the potential ...
Abstract:- The dramatically explosion of data and the growing number of different data sources are e...
Abstract- Data Mining is the process of extracting potentially useful knowledge from raw data. This ...
We present work in progress on a new methodology for leveraging the semantic content of ontologies t...
We present a technique that enables a software agent to augment its ontology with domain related con...
We present a technique that enables a software agent to augment its ontology with domain related con...
eServices in the area of healthcare are developing quickly. Providing services for researchers in he...
Most organisations store their data in several databases with no flexible mechanism for integration ...