DOGMA-MESS: A Tool for Fact-Oriented Collaborative Ontology Evolution

Leenheer, Pieter De; Debruyne, Christophe

doi:10.1007/978-3-540-88875-8_104

Cited by 17 publications

(21 citation statements)

References 9 publications

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“…To achieve this target it could be used methodologies like DOGMA-MESS [27][28], in a native way or adapting to the global system, like in DiYSE project, to gradually enrich the ontology.…”

Section: Discussionmentioning

confidence: 99%

A Novel Context Ontology to Facilitate Interoperation of Semantic Services in Environments with Wearable Devices

Rubio

Serral

Castillejo

et al. 2012

On the Move to Meaningful Internet Systems: OTM 2012 Workshops

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Abstract. The LifeWear-Mobilized Lifestyle with Wearables (Lifewear) project attempts to create Ambient Intelligence (Ami) ecosystems by composing personalized services based on the user information, environmental conditions and reasoning outputs. Two of the most important benefits over traditional environments are 1) take advantage of wearable devices to get user information in a non-intrusive way and 2) integrate this information with other intelligent services and environmental sensors. This paper proposes a new ontology composed by the integration of users and services information, for semantically representing this information. Using an Enterprise Service Bus, this ontology is integrated in a semantic middleware to provide context-aware personalized and semantically annotated services, with discovery, composition and orchestration tasks. We show how these services support a real scenario proposed in the Lifewear project. IntroductionWearable devices are becoming more advanced, accurate and capable of sensing. To take full advantage of them is necessary to combine their information with the obtained from the context and the own user. The amount and heterogeneity of the information that comes into play means that architectures and data models must be equipped with the features necessary to develop applications increasingly customized to the user and facilitate interoperation and information sharing. The main concern has been to developed ontologies, middlewares and architectures to resolve problems related with ubiquitous computing, but, basically thinking in services provided to the web. With the advance of technology, new services based on the user information, environmental conditions and reasoning outputs are emerging in the context of Ambient Intelligence (Ami) ecosystems. Adding to these data a user

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“…To achieve this target it could be used methodologies like DOGMA-MESS [27][28], in a native way or adapting to the global system, like in DiYSE project, to gradually enrich the ontology.…”

Section: Discussionmentioning

confidence: 99%

A Novel Context Ontology to Facilitate Interoperation of Semantic Services in Environments with Wearable Devices

Rubio

Serral

Castillejo

et al. 2012

On the Move to Meaningful Internet Systems: OTM 2012 Workshops

View full text Add to dashboard Cite

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“…These lexons can then be consulted though other tools, such as DOGMA Studio Workbench [4]. The reason for this is twofold: to avoid creating a page for each term, as this would be often overkill for some lexical concepts such as Name, E-Mail, etc and to enable less formal savvy persons to engage in the ontology engineering process with free text.…”

Section: Semantic Object Interlinkingmentioning

confidence: 99%

GOSPL: Grounding Ontologies with Social Processes and Natural Language

Debruyne

Reul

Meersman

2010

2010 Seventh International Conference on Information Technology: New Generations

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“…These processes of information sharing can be characterized by Nonaka's [16] in four modes of knowledge conversion: socialization, externalization, combination and internalization. These processes have been previously adopted into ontology evolution methodologies [12], where distinct stakeholders iteratively interpret and model their During the incremental interplay within a blackboard, there will be cases where some participants disagree with others regarding some representation for an observation subject. Thus, agreement mechanisms will be used in order to reach agreement, examples of such mechanisms can be dialogues or voting systems.…”

Section: Incremental Interplaymentioning

confidence: 99%

Blackboard Data Spaces for the Elicitation of Community-based Lightweight Ontologies

Vasquez

2012

2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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In open information systems, users can act as consumers and producers of meaningful content. They can have an active role in capturing the semantics that they use within their communities. This approach use the notion of web blackboards, which provide a playground for participants to reach better agreements about a some topic. Multiple blackboards can be connected, forming networks where the content within a blackboards automatically spread. In this approach, the blackboards might converge or diverge in distinct variants, providing a model where distinct local agreements or ontology views can co-exist within a system. The social construction dynamics benefit from mapping analysis and pattern observation, aiming to increase the underlying community awareness. In the same way, these dynamics are persisted, aiming to capture the community shared understanding across time.

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DOGMA-MESS: A Tool for Fact-Oriented Collaborative Ontology Evolution

Cited by 17 publications

References 9 publications

A Novel Context Ontology to Facilitate Interoperation of Semantic Services in Environments with Wearable Devices

A Novel Context Ontology to Facilitate Interoperation of Semantic Services in Environments with Wearable Devices

GOSPL: Grounding Ontologies with Social Processes and Natural Language

Blackboard Data Spaces for the Elicitation of Community-based Lightweight Ontologies

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