Consistent Evolution of OWL Ontologies

Haase, Peter; Stojanović, Ljiljana

doi:10.1007/11431053_13

Cited by 161 publications

(155 citation statements)

References 14 publications

Supporting

Mentioning

154

Contrasting

Unclassified

Order By: Relevance

“…Thus research has witnessed an increased interest in ontology evolution. We regard ontology evolution as the "timely adaptation of an ontology to the arisen changes and the consistent management of these changes" [10]. "Timely adaptation" suggests a quick adaptation, that can only be achieved by decreasing user involvement in the evolution process.…”

Section: Problem and Methodologymentioning

confidence: 99%

Evolva: A Comprehensive Approach to Ontology Evolution

Zablith

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Ontology evolution is increasingly gaining momentum in the area of Semantic Web research. Current approaches target the evolution in terms of either content, or change management, without covering both aspects in the same framework. Moreover, they are slowed down as they heavily rely on user input. We tackle the aforementioned issues by proposing Evolva, a comprehensive ontology evolution framework, which handles a complete ontology evolution cycle, and makes use of background knowledge for decreasing user input. Problem and MethodologyOntologies form the basis of Semantic Web systems. As such, they need to be kept up-to-date for the dependent systems to remain usable. With the increase of complexity and changes occurring in the represented domains, ontology evolution becomes a painstaking and time-consuming process. Thus research has witnessed an increased interest in ontology evolution. We regard ontology evolution as the "timely adaptation of an ontology to the arisen changes and the consistent management of these changes" [10]. "Timely adaptation" suggests a quick adaptation, that can only be achieved by decreasing user involvement in the evolution process. However, most of current approaches heavily rely on user input. Moreover, the definition suggests that a successful evolution can only be achieved by having both "adaptation" and "change management". Yet, as we discuss in Section 4, no existing approach handles the two tasks in one framework. One set of approaches considers evolution as the management of changes performed by users for preserving consistency [11,13,16,17], while another set targets techniques for integrating new knowledge into the ontology [2,5,12,14], without an extensive handling of change and evolution management. Our research tackles the following two main questions:Question 1: How to cover a complete ontology evolution cycle? The focus here is on providing both ontology adaptation and change management.

show abstract

Section: Problem and Methodologymentioning

confidence: 99%

Evolva: A Comprehensive Approach to Ontology Evolution

Zablith

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…During the recent years several approaches have been proposed for debugging semantic defects in ontologies, such as unsatisfiable concepts or inconsistent ontologies (e.g., [24,14,15,8]) and related to mappings (e.g., [22,11,23,28]) or integrated ontologies [13]. Further, there has been some work on detecting modeling defects (e.g., [9,3]) such as missing relations, and repairing modeling defects [19,18,16].…”

Section: Motivationmentioning

confidence: 99%

A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments

Іванова

Lambrix

2013

The Semantic Web: Semantics and Big Data

View full text Add to dashboard Cite

“…Then, a local conflict detection mechanism should determine whether there is any change that is conflicting with the current changes. Conflicts may be detected on a syntactic level (when the same entity is affected by changes from different users), or on a semantic level (when the combination of changes from different users results in a logical inconsistency) [40]. In case there are conflicting changes, a conflict resolution mechanism will be responsible for resolving them.…”

Section: Change Propagation To Distributed Copies Of An Ontologymentioning

confidence: 99%

A Holistic Approach to Collaborative Ontology Development Based on Change Management

et al. 2011

Self Cite

View full text Add to dashboard Cite

a b s t r a c tThis 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.

show abstract

Consistent Evolution of OWL Ontologies

Cited by 161 publications

References 14 publications

Evolva: A Comprehensive Approach to Ontology Evolution

Evolva: A Comprehensive Approach to Ontology Evolution

A Unified Approach for Aligning Taxonomies and Debugging Taxonomies and Their Alignments

A Holistic Approach to Collaborative Ontology Development Based on Change Management

Contact Info

Product

Resources

About