Al-Punk
Still here
The following presentation deals with the topic Ontology Formalization for Research Scientific Data. It was a simple presentation to my colleagus of FIZ on the progress on the CSM-Ontology. Hereby it is published with the introduction section of a recently in progress paper….
Scientific instruments and computer simulations are a common standard for scientific-methods to analyze and run experiments in many disciplines. The use of computers in science has changed the way scientists handle studies and retrieve and publish information related to these studies. Computer simulations are creating immense volume of data that require new methods to analyze and organize the data [3]. With the increase in volume of data and experiments new challenges and opportunities arise in the process of collecting, organizing, interpreting and sharing the data. Archiving and distribution of research data relies heavily on the use of metadata. By using good models of metadata, scientists and researchers can publish and share their research information. They can allow results of experiments and studies to be browsed, searched and cited. Various institutions and projects have been exploring and modeling in recent years on metadata models for research data. Such models are often subject-specific and are difficult to transfer to other disciplines. For our ontology formalization we have chosen to use the Core Scientific Metadata Model (CSMD) [4] as a well-established and tested metadata.
Proper organization of data should also encourage the reuse of data within and across scientific disciplines. The aim of our initiative is to model a generic ontology which could be applied to studies focusing different science disciplines. We aim to formalize generic knowledge about scientific studies, investigations (experiments) and result representation. Such a model is both feasible and desirable because all the sciences research follows the same experimental principles [5]. The ontology should be considered as core ontology for studies with the flexibility to be extended and specialized by developers in particular domains.
The CSMO is defined as W3C OWL2 ontology and is originally motivated by the need to improve the formalization of scientific knowledge. The primary focus of this ontology is the publication of study related data and research data. This initiative is connected to eSciDoc applications [2] with a focus on building e-research repositories and virtual research environment that can assist researchers during their day-to-day
work. The ontology should best used in backing applications that retrieve data automatically from experiments in eScience.
The content of the presentation is an expression of my personal perceptions and does not necessarily express the policies of FIZ
Lexo origjinalin...
Scientific instruments and computer simulations are a common standard for scientific-methods to analyze and run experiments in many disciplines. The use of computers in science has changed the way scientists handle studies and retrieve and publish information related to these studies. Computer simulations are creating immense volume of data that require new methods to analyze and organize the data [3]. With the increase in volume of data and experiments new challenges and opportunities arise in the process of collecting, organizing, interpreting and sharing the data. Archiving and distribution of research data relies heavily on the use of metadata. By using good models of metadata, scientists and researchers can publish and share their research information. They can allow results of experiments and studies to be browsed, searched and cited. Various institutions and projects have been exploring and modeling in recent years on metadata models for research data. Such models are often subject-specific and are difficult to transfer to other disciplines. For our ontology formalization we have chosen to use the Core Scientific Metadata Model (CSMD) [4] as a well-established and tested metadata.
Proper organization of data should also encourage the reuse of data within and across scientific disciplines. The aim of our initiative is to model a generic ontology which could be applied to studies focusing different science disciplines. We aim to formalize generic knowledge about scientific studies, investigations (experiments) and result representation. Such a model is both feasible and desirable because all the sciences research follows the same experimental principles [5]. The ontology should be considered as core ontology for studies with the flexibility to be extended and specialized by developers in particular domains.
The CSMO is defined as W3C OWL2 ontology and is originally motivated by the need to improve the formalization of scientific knowledge. The primary focus of this ontology is the publication of study related data and research data. This initiative is connected to eSciDoc applications [2] with a focus on building e-research repositories and virtual research environment that can assist researchers during their day-to-day
work. The ontology should best used in backing applications that retrieve data automatically from experiments in eScience.
The content of the presentation is an expression of my personal perceptions and does not necessarily express the policies of FIZ
Lexo origjinalin...