In ontology versioning, change detection should be related to dependent database or metadata, and vice-versa. Therefore, there is the need to detect change based on a bottom-up approach. This paper discusses bottom-up change detection by incorporating Ontology Metadata Vocabulary (OMV) as the interface to detect change from a database or metadata perspective. With respect to ontology versioning tasks, the approach emphasizes the use of change detection as an effort to preserve the compatibility serialization between ontology and knowledge-based systems (KBS). Our proposed framework and algorithm are presented.
[Show abstract][Hide abstract] ABSTRACT: To effectively use ontologies on the Web, it is essential that changes in ontologies are managed well. This paper analyzes the topic of ontology versioning in the context of the Web by looking at the characteristics of the version relation between ontologies and at the identification of online ontologies. Then, it describes the design of a web-based system that helps users to manage changes in ontologies. The system helps to keep different versions of web-based ontologies interoperable, by maintaining not only the transformations between ontologies, but also the conceptual relation between concepts in different versions. The system allows ontology engineers to compare versions of ontology and to specify these conceptual relations. For the visualization of differences, it uses an adaptable rule-based mechanism that finds and classifies changes in RDF-based ontologies.
[Show abstract][Hide abstract] ABSTRACT: Ontologies change and evolve both on the level of schema and individuals in order to meet requirements of changing world. Changes involve adding, deleting and modifying el- ements in the ontology both on structural (schema related) and content (individuals related) levels. The changes can lead to incorrect conclusions and can cause malfunction of systems, which use ontology data. In this paper we de- scribe a proposal of the method for automated detection of currentness of presented data, including meta-data, which are represented by an ontology. Method comes out from a detection of changes between difierent versions of the ontol- ogy. Besides identifying modiflcations in the ontology, the purpose of the method lies also in identifying equivalent el- ements, thanks to which we are able to track information sources over time. We describe possibilities of automated identiflcation of changes between ontologies using heuristic methods and their realization as a software tool called On- toDifi for comparing ontologies.
Workshop Proceedings of the 6th International Conference on Web Engineering, ICWE 2006, Palo Alto, California, USA, July 11-14, 2006; 01/2006
[Show abstract][Hide abstract] ABSTRACT: One of the research flelds which has recently gained much scientiflc interest within the database commu- nity are Peer-to-Peer databases, where peers have the autonomy to decide whether to join or to leave an information sharing environment at any time. Such volatile data nodes may appear shortly, collect or de- liver some data, and disappear again. It even can not be assured that a peer joins the network ever again. In this paper we introduce a representation format fort both, schema and data information based on the Web Ontology Language OWL. According to the ad- vantages of the Semantic Web we are thus able to represent and to transfer every schema and data com- ponent of a database to any partner, without having to deflne a data and schema exchange format explic- itly.
Conceptual Modelling 2005, Second Asia-Pacific Conference on Conceptual Modelling (APCCM2005), Newcastle, NSW, Australia, January/February 2005; 01/2005
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