Ontologies are commonly used resources: we are witnessing to the constant grow, in number and heterogeneity, of communities working with large volumes of data. Re-searchers, practitioners, developers and end users deal with a huge amount of data from different perspective, topics, cultures, languages. For people involved in governing both data and processes this remains a difficult task. End users and practitioners are usually interested in merging, data generated from connected objects in customizable ways. Even if a lot of algorithms and tools have been created to achieve such goal in a full automatic manner, human contribution is nonetheless still important. On the way to reach the aforementioned results, researchers concentrated their effort in making easier both representation and visualization of data, thus simplifying user interaction with the system. The main aspect to deal with is how to represent an ontology alignment provid-ing a good overview of the alignment and whatever is recognized to be an important detail for the user, both at the same time. Indeed, the overall view makes easier for the users to be aware of the level of interconnection between ontologies, while details al-low them to evaluate the alignments and, possibly, give feedback on each of them. These two levels of information's combined requirements suggests that a static visuali-zation of the alignment is not effective. To enhance human involvement and judgment, interactivity becomes a key issue. These tasks become much more complex when con-sidering very large ontologies like biomedical ones. We have developed a framework for supporting easy ontology matching processes (GENOMA) that provides a user friendly graphical interface (OntoChord) to visualize structured information and reason over them. Framework's technical details will be outlined. Furthermore, examples of user sessions and testing evaluations over biomedical ontologies will be considered.

Enea, R., Pazienza, M.t., Turbati, A., Vitiello, D. (2017). Conceptual knowledge management: The case of biomedical information. In CEUR Workshop Proceedings. CEUR-WS.

Conceptual knowledge management: The case of biomedical information

Pazienza, Maria Teresa;
2017-01-01

Abstract

Ontologies are commonly used resources: we are witnessing to the constant grow, in number and heterogeneity, of communities working with large volumes of data. Re-searchers, practitioners, developers and end users deal with a huge amount of data from different perspective, topics, cultures, languages. For people involved in governing both data and processes this remains a difficult task. End users and practitioners are usually interested in merging, data generated from connected objects in customizable ways. Even if a lot of algorithms and tools have been created to achieve such goal in a full automatic manner, human contribution is nonetheless still important. On the way to reach the aforementioned results, researchers concentrated their effort in making easier both representation and visualization of data, thus simplifying user interaction with the system. The main aspect to deal with is how to represent an ontology alignment provid-ing a good overview of the alignment and whatever is recognized to be an important detail for the user, both at the same time. Indeed, the overall view makes easier for the users to be aware of the level of interconnection between ontologies, while details al-low them to evaluate the alignments and, possibly, give feedback on each of them. These two levels of information's combined requirements suggests that a static visuali-zation of the alignment is not effective. To enhance human involvement and judgment, interactivity becomes a key issue. These tasks become much more complex when con-sidering very large ontologies like biomedical ones. We have developed a framework for supporting easy ontology matching processes (GENOMA) that provides a user friendly graphical interface (OntoChord) to visualize structured information and reason over them. Framework's technical details will be outlined. Furthermore, examples of user sessions and testing evaluations over biomedical ontologies will be considered.
2017 Joint Ontology Workshops Episode 3: The Tyrolean Autumn of Ontology, JOWO 2017
Free University of Bozen-Bolzano, ita
2017
Rilevanza internazionale
2017
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Settore INF/01 - INFORMATICA
English
Data visualization; Knowledge management; Ontology; Computer Science (all)
http://ceur-ws.org/
Intervento a convegno
Enea, R., Pazienza, M.t., Turbati, A., Vitiello, D. (2017). Conceptual knowledge management: The case of biomedical information. In CEUR Workshop Proceedings. CEUR-WS.
Enea, R; Pazienza, Mt; Turbati, A; Vitiello, D
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/211477
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