Ontology Development

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Silvio Peroni - One of the best experts on this subject based on the ideXlab platform.

  • OWLED - A Simplified Agile Methodology for Ontology Development
    Lecture Notes in Computer Science, 2017
    Co-Authors: Silvio Peroni
    Abstract:

    In this paper we introduce SAMOD, a.k.a. Simplified Agile Methodology for Ontology Development, a novel agile methodology for the Development of ontologies by means of small steps of an iterative workflow that focuses on creating well-developed and documented models starting from exemplar domain descriptions. In addition, we discuss the results of an experiment where we asked nine people (with no or limited expertise in Semantic Web technologies and Ontology Engineering) to use SAMOD for developing a small Ontology.

  • a simplified agile methodology for Ontology Development
    OWL: Experiences and Directions, 2016
    Co-Authors: Silvio Peroni
    Abstract:

    In this paper we introduce SAMOD, a.k.a. Simplified Agile Methodology for Ontology Development, a novel agile methodology for the Development of ontologies by means of small steps of an iterative workflow that focuses on creating well-developed and documented models starting from exemplar domain descriptions. In addition, we discuss the results of an experiment where we asked nine people (with no or limited expertise in Semantic Web technologies and Ontology Engineering) to use SAMOD for developing a small Ontology.

Tobias Burger - One of the best experts on this subject based on the ideXlab platform.

  • ontocom revisited towards accurate cost predictions for Ontology Development projects
    European Semantic Web Conference, 2009
    Co-Authors: Elena Simperl, Igor Popov, Tobias Burger
    Abstract:

    Reliable methods to assess the costs and benefits of ontologies are an important instrument to demonstrate the tangible business value of semantic technologies within enterprises, as an argument to encourage their wide-scale adoption. The economic aspects of ontologies have been investigated in previous work of ours. With ONTOCOM we proposed a cost estimation model for ontologies and Ontology Development projects. This paper revisits this model and presents its latest achievements. We report on a comprehensive calibration of ONTOCOM based on a considerably larger data set of 148 Ontology Development projects. The calibration used a combination of statistical methods, ranging from preliminary data analysis to regression and Bayes analysis, and resulted a significant improvement of the prediction quality of up to 50%. In addition, the availability of a representative data set allowed us to identify meaningful directions for customizing the generic cost model along particular types of ontologies, and Ontology-like structures as those specific to the emerging Web 3.0. Last but not least, we developed a software tool that allows Ontology Development project managers to easily use and adapt and to systematically calibrate the model, thus facilitating its adoption in real-world projects.

  • ESWC - ONTOCOM Revisited: Towards Accurate Cost Predictions for Ontology Development Projects
    Lecture Notes in Computer Science, 2009
    Co-Authors: Elena Simperl, Igor Popov, Tobias Burger
    Abstract:

    Reliable methods to assess the costs and benefits of ontologies are an important instrument to demonstrate the tangible business value of semantic technologies within enterprises, as an argument to encourage their wide-scale adoption. The economic aspects of ontologies have been investigated in previous work of ours. With ONTOCOM we proposed a cost estimation model for ontologies and Ontology Development projects. This paper revisits this model and presents its latest achievements. We report on a comprehensive calibration of ONTOCOM based on a considerably larger data set of 148 Ontology Development projects. The calibration used a combination of statistical methods, ranging from preliminary data analysis to regression and Bayes analysis, and resulted a significant improvement of the prediction quality of up to 50%. In addition, the availability of a representative data set allowed us to identify meaningful directions for customizing the generic cost model along particular types of ontologies, and Ontology-like structures as those specific to the emerging Web 3.0. Last but not least, we developed a software tool that allows Ontology Development project managers to easily use and adapt and to systematically calibrate the model, thus facilitating its adoption in real-world projects.

Natalya F Noy - One of the best experts on this subject based on the ideXlab platform.

  • an analysis of collaborative patterns in large scale Ontology Development projects
    International Conference on Knowledge Capture, 2011
    Co-Authors: Sean M Falconer, Tania Tudorache, Natalya F Noy
    Abstract:

    Today, distributed teams collaboratively create and maintain more and more ontologies. To support this type of Ontology Development, software engineers are introducing a new generation of tools. However, we know relatively little about how existing large-scale collaborative Ontology Development works and what user workflows the tools must support. In this paper, we analyze our experience in supporting several such projects. We describe a visual and interactive project-management tool that we have developed, which helps Ontology developers explore historical Ontology change and discussion data. We present the results of qualitative and quantitative studies of the collaborative activity associated with three large-scale Ontology-Development projects. Based on the analysis, we conclude that domain and Ontology experts have different patterns of Ontology editing behavior, which has important implications for Ontology-Development tools.

  • K-CAP - An analysis of collaborative patterns in large-scale Ontology Development projects
    Proceedings of the sixth international conference on Knowledge capture - K-CAP '11, 2011
    Co-Authors: Sean M Falconer, Tania Tudorache, Natalya F Noy
    Abstract:

    Today, distributed teams collaboratively create and maintain more and more ontologies. To support this type of Ontology Development, software engineers are introducing a new generation of tools. However, we know relatively little about how existing large-scale collaborative Ontology Development works and what user workflows the tools must support. In this paper, we analyze our experience in supporting several such projects. We describe a visual and interactive project-management tool that we have developed, which helps Ontology developers explore historical Ontology change and discussion data. We present the results of qualitative and quantitative studies of the collaborative activity associated with three large-scale Ontology-Development projects. Based on the analysis, we conclude that domain and Ontology experts have different patterns of Ontology editing behavior, which has important implications for Ontology-Development tools.

  • supporting collaborative Ontology Development in protege
    International Semantic Web Conference, 2008
    Co-Authors: Tania Tudorache, Natalya F Noy, Mark A Musen
    Abstract:

    Ontologies are becoming so large in their coverage that no single person or a small group of people can develop them effectively and Ontology Development becomes a community-based enterprise. In this paper, we discuss requirements for supporting collaborative Ontology Development and present Collaborative Protege--a tool that supports many of these requirements, such as discussions integrated with Ontology-editing process, chats, and annotations of changes and Ontology components. We have evaluated Collaborative Protege in the context of Ontology Development in an ongoing large-scale biomedical project that actively uses ontologies at the VA Palo Alto Healthcare System. Users have found the new tool effective as an environment for carrying out discussions and for recording references for the information sources and design rationale.

  • International Semantic Web Conference - Supporting Collaborative Ontology Development in Protégé
    Lecture Notes in Computer Science, 2008
    Co-Authors: Tania Tudorache, Natalya F Noy, Mark A Musen
    Abstract:

    Ontologies are becoming so large in their coverage that no single person or a small group of people can develop them effectively and Ontology Development becomes a community-based enterprise. In this paper, we discuss requirements for supporting collaborative Ontology Development and present Collaborative Protege--a tool that supports many of these requirements, such as discussions integrated with Ontology-editing process, chats, and annotations of changes and Ontology components. We have evaluated Collaborative Protege in the context of Ontology Development in an ongoing large-scale biomedical project that actively uses ontologies at the VA Palo Alto Healthcare System. Users have found the new tool effective as an environment for carrying out discussions and for recording references for the information sources and design rationale.

Tania Tudorache - One of the best experts on this subject based on the ideXlab platform.

  • investigating collaboration dynamics in different Ontology Development environments
    Knowledge Science Engineering and Management, 2014
    Co-Authors: Marco Rospocher, Tania Tudorache, Mark A Musen
    Abstract:

    Understanding the processes and dynamics behind the collaborative construction of ontologies will enable the Development of quality ontologies in distributed settings. In this paper, we investigate the collaborative processes behind Ontology Development with two Web-based modeling tools, WebProtege and MoKi. We performed a quantitative analysis of user activity logs from both tools. This analysis sheds light on (i) the way people edit an Ontology in collaborative settings, and (ii) the role of discussion activities in collaborative Ontology Development. To explore whether the Ontology tool influences the collaboration processes, we conducted five investigations using the collaborative data from both tools and we found that users tend to collaborate in similar ways, even if the tools and their collaboration support differ. We believe these findings are valuable because they advance our understanding of collaboration processes in Ontology Development, and they can serve as a guide for developers of collaborative tools.

  • KSEM - Investigating Collaboration Dynamics in Different Ontology Development Environments
    Knowledge Science Engineering and Management, 2014
    Co-Authors: Marco Rospocher, Tania Tudorache, Mark A Musen
    Abstract:

    Understanding the processes and dynamics behind the collaborative construction of ontologies will enable the Development of quality ontologies in distributed settings. In this paper, we investigate the collaborative processes behind Ontology Development with two Web-based modeling tools, WebProtege and MoKi. We performed a quantitative analysis of user activity logs from both tools. This analysis sheds light on (i) the way people edit an Ontology in collaborative settings, and (ii) the role of discussion activities in collaborative Ontology Development. To explore whether the Ontology tool influences the collaboration processes, we conducted five investigations using the collaborative data from both tools and we found that users tend to collaborate in similar ways, even if the tools and their collaboration support differ. We believe these findings are valuable because they advance our understanding of collaboration processes in Ontology Development, and they can serve as a guide for developers of collaborative tools.

  • an analysis of collaborative patterns in large scale Ontology Development projects
    International Conference on Knowledge Capture, 2011
    Co-Authors: Sean M Falconer, Tania Tudorache, Natalya F Noy
    Abstract:

    Today, distributed teams collaboratively create and maintain more and more ontologies. To support this type of Ontology Development, software engineers are introducing a new generation of tools. However, we know relatively little about how existing large-scale collaborative Ontology Development works and what user workflows the tools must support. In this paper, we analyze our experience in supporting several such projects. We describe a visual and interactive project-management tool that we have developed, which helps Ontology developers explore historical Ontology change and discussion data. We present the results of qualitative and quantitative studies of the collaborative activity associated with three large-scale Ontology-Development projects. Based on the analysis, we conclude that domain and Ontology experts have different patterns of Ontology editing behavior, which has important implications for Ontology-Development tools.

  • K-CAP - An analysis of collaborative patterns in large-scale Ontology Development projects
    Proceedings of the sixth international conference on Knowledge capture - K-CAP '11, 2011
    Co-Authors: Sean M Falconer, Tania Tudorache, Natalya F Noy
    Abstract:

    Today, distributed teams collaboratively create and maintain more and more ontologies. To support this type of Ontology Development, software engineers are introducing a new generation of tools. However, we know relatively little about how existing large-scale collaborative Ontology Development works and what user workflows the tools must support. In this paper, we analyze our experience in supporting several such projects. We describe a visual and interactive project-management tool that we have developed, which helps Ontology developers explore historical Ontology change and discussion data. We present the results of qualitative and quantitative studies of the collaborative activity associated with three large-scale Ontology-Development projects. Based on the analysis, we conclude that domain and Ontology experts have different patterns of Ontology editing behavior, which has important implications for Ontology-Development tools.

  • supporting collaborative Ontology Development in protege
    International Semantic Web Conference, 2008
    Co-Authors: Tania Tudorache, Natalya F Noy, Mark A Musen
    Abstract:

    Ontologies are becoming so large in their coverage that no single person or a small group of people can develop them effectively and Ontology Development becomes a community-based enterprise. In this paper, we discuss requirements for supporting collaborative Ontology Development and present Collaborative Protege--a tool that supports many of these requirements, such as discussions integrated with Ontology-editing process, chats, and annotations of changes and Ontology components. We have evaluated Collaborative Protege in the context of Ontology Development in an ongoing large-scale biomedical project that actively uses ontologies at the VA Palo Alto Healthcare System. Users have found the new tool effective as an environment for carrying out discussions and for recording references for the information sources and design rationale.

Asunción Gómez-pérez - One of the best experts on this subject based on the ideXlab platform.

  • Scheduling Ontology Development projects
    Data & Knowledge Engineering, 2016
    Co-Authors: Mari Carmen Suárez-figueroa, Asunción Gómez-pérez, Mariano Fernández-lópez
    Abstract:

    In the Ontology engineering field, key aspects of real-world business contexts are not normally taken into account. One of these crucial aspects is that of planning and scheduling. Software engineering practitioners use different approaches and tools for planning and scheduling software Development projects, whereas their counterparts in Ontology engineering encounter many problems to create project plans and schedules. To bridge the gap we have created a method and a tool (the latter called gOntt) for systematizing the scheduling of Ontology Development projects in the context of the NeOn Methodology. In this paper we try to explain the methodological pillars in which method and tool are grounded.

  • A holistic approach to collaborative Ontology Development based on change management
    Journal of Web Semantics, 2011
    Co-Authors: Raul Palma, Asunción Gómez-pérez, Oscar Corcho, Peter Haase
    Abstract:

    This paper describes our methodological and technological approach for collaborative Ontology Development in inter-organizational settings. It is based on the formalization of the collaborative Ontology Development process by means of an explicit editorial workflow, which coordinates proposals for changes among Ontology editors in a flexible manner. This approach is supported by new models, methods and strategies for Ontology change management in distributed environments: we propose a new form of Ontology change representation, organized in layers so as to provide as much independence as possible from the underlying Ontology languages, together with methods and strategies for their manipulation, version management, capture, storage and maintenance, some of which are based on existing proposals in the state of the art. Moreover, we propose a set of change propagation strategies that allow keeping distributed copies of the same Ontology synchronized. Finally, we illustrate and evaluate our approach with a test case in the fishery domain from the United Nations Food and Agriculture Organisation (FAO). The preliminary results obtained from our evaluation suggest positive indication on the practical value and usability of the work here presented.

  • ESWC - Benchmark suites for improving the RDF(S) importers and exporters of Ontology Development tools
    Lecture Notes in Computer Science, 2006
    Co-Authors: Raúl García-castro, Asunción Gómez-pérez
    Abstract:

    Interoperability is the ability of two or more systems to interchange information and to use the information that has been interchanged. Nowadays, interoperability between Ontology Development tools is low. Therefore, to assess and improve this interoperability, we propose to perform a benchmarking of the interoperability of Ontology Development tools using RDF(S) as the interchange language. This paper presents, on the one hand, the interoperability benchmarking that is currently in progress in Knowledge Web and, on the other, the benchmark suites defined and used in this benchmarking.

  • ASWC - An Editorial Workflow Approach For Collaborative Ontology Development
    The Semantic Web, 1
    Co-Authors: Raul Palma, Peter Haase, Oscar Corcho, Asunción Gómez-pérez
    Abstract:

    The widespread use of ontologies in the last years has raised new challenges for their Development and maintenance. Ontology Development has transformed from a process normally performed by one Ontology engineer into a process performed collaboratively by a team of Ontology engineers, who may be geographically distributed and play different roles. For example, editors may propose changes, while authoritative users approve or reject them following a well defined process. This process, however, has only been partially addressed by existing Ontology Development methods, methodologies, and tool support. Furthermore, in a distributed environment where Ontology editors may be working on local copies of the same Ontology, strategies should be in place to ensure that changes in one copy are reflected in all of them. In this paper, we propose a workflow-based model for the collaborative Development of ontologies in distributed environments and describe the components required to support them. We illustrate our model with a test case in the fishery domain from the United Nations Food and Agriculture Organisation (FAO).

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