A Framework for Ontology Evolution Management in SSOA-Based Systems

Support for Ontology Evolution in the Trend Related Industry Sector

Enterprise Information Systems - Lecture Notes in Business Information Processing ◽

10.1007/978-3-642-19802-1_14 ◽

2011 ◽

pp. 193-207

Author(s):

Jessica Huster

Keyword(s):

Ontology Evolution ◽

Industry Sector

Ontology Evolution in the Context of Model-Based Secure Software Engineering

Research Challenges in Information Science - Lecture Notes in Business Information Processing ◽

10.1007/978-3-030-50316-1_26 ◽

2020 ◽

pp. 437-454

Author(s):

Jens Bürger ◽

Timo Kehrer ◽

Jan Jürjens

Keyword(s):

Software Engineering ◽

Ontology Evolution ◽

Model Based ◽

Secure Software Engineering ◽

Secure Software

Updating Ontology Alignment on the Instance Level Based on Ontology Evolution

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/978-3-030-59051-2_20 ◽

2020 ◽

pp. 301-311

Author(s):

Adrianna Kozierkiewicz ◽

Marcin Pietranik ◽

Loan T. T. Nguyen

Keyword(s):

Ontology Alignment ◽

Ontology Evolution

EvoRDF: A Framework for Exploring Ontology Evolution

Lecture Notes in Computer Science - The Semantic Web: ESWC 2017 Satellite Events ◽

10.1007/978-3-319-70407-4_20 ◽

2017 ◽

pp. 104-108 ◽

Cited By ~ 4

Author(s):

Haridimos Kondylakis ◽

Melidoni Despoina ◽

Georgios Glykokokalos ◽

Eleftherios Kalykakis ◽

Manos Karapiperakis ◽

...

Keyword(s):

Ontology Evolution

Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution

Knowledge Engineering and Management by the Masses - Lecture Notes in Computer Science ◽

10.1007/978-3-642-16438-5_16 ◽

2010 ◽

pp. 226-240 ◽

Cited By ~ 9

Author(s):

Fouad Zablith ◽

Mathieu d’Aquin ◽

Marta Sabou ◽

Enrico Motta

Keyword(s):

Ontology Evolution

Automated ontology evolution in a multi-agent system

Proceedings of the 1st international conference on Scalable information systems - InfoScale '06 ◽

10.1145/1146847.1146863 ◽

2006 ◽

Cited By ~ 5

Author(s):

Mohsen Afsharchi ◽

Behrouz H. Far

Keyword(s):

Multi Agent System ◽

Agent System ◽

Ontology Evolution ◽

Multi Agent

Adaptations Based on Ontology Evolution as a Mean to Exploit Collective Intelligence

Universal Access in Human-Computer Interaction. Design for All and eInclusion - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21672-5_36 ◽

2011 ◽

pp. 327-336 ◽

Cited By ~ 1

Author(s):

Laura Burzagli ◽

Francesco Gabbanini ◽

Pier Luigi Emiliani

Keyword(s):

Collective Intelligence ◽

Ontology Evolution

Real-Time Enterprise Ontology Evolution to Aid Effective Clinical Telemedicine with Text Mining and Automatic Semantic Aliasing Support

On the Move to Meaningful Internet Systems: OTM 2008 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-88873-4_20 ◽

2008 ◽

pp. 1200-1214 ◽

Cited By ~ 3

Author(s):

Jackei H. K. Wong ◽

Wilfred W. K. Lin ◽

Allan K. Y. Wong

Keyword(s):

Text Mining ◽

Real Time ◽

Ontology Evolution ◽

Enterprise Ontology

Semantic Invalidation of Annotations Due to Ontology Evolution

On the Move to Meaningful Internet Systems: OTM 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25106-1_25 ◽

2011 ◽

pp. 763-780 ◽

Cited By ~ 2

Author(s):

Julius Köpke ◽

Johann Eder

Keyword(s):

Ontology Evolution

Referencing Resources through Ontology Evolution

Visual Knowledge Modeling for Semantic Web Technologies ◽

10.4018/978-1-61520-839-5.ch011 ◽

2010 ◽

pp. 224-244

Author(s):

Déliar Rogozan ◽

Gilbert Paquette

Keyword(s):

Semantic Web ◽

Domain Knowledge ◽

Software Agents ◽

Dynamic Environments ◽

Ontology Evolution ◽

Domain Ontologies ◽

Original Domain ◽

Fundamental Requirement

Evolution is a fundamental requirement for useful ontologies. Knowledge evolves continuously in all fields of knowledge due to the progress in research and applications. Because they are theories of knowledge in a precise domain, Ontologies need to evolve because the domain has changed, the viewpoint of the domain has changed or because problems in the original domain conceptualization have to be resolved or have been resolved (Noy & Klein, 2003). Moreover, in open and dynamic environments such as the Semantic Web, the ontologies need to evolve because domain knowledge evolves continually (Heflin & Hendler, 2000) or because ontology-oriented software-agents must respond to changes in users’ needs (Stojanovic, Maedche, Stojanovic, & Studer, 2003).