A Semantic Approach for Schema Evolution and Versioning in Object-Oriented Databases

Franconi, Enrico; Grandi, Fábio; Mandreoli, Federica

doi:10.1007/3-540-44957-4_70

Cited by 33 publications

(20 citation statements)

References 27 publications

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“…unpredictable). In contrast to [30] who provide complete semantics of changes, we prefer to use heuristics in order to avoid expensive reasoning about the impact of changes. By restricting the change detection to changes that can be detected at a structural level, the complexity of our change detection heuristic is linear.…”

Section: Characterizing Changesmentioning

confidence: 99%

Reasoning and change management in modular ontologies

Stuckenschmidt

Klein

2007

Data & Knowledge Engineering

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The benefits of modular representations are well known from many areas of computer science. In this paper, we concentrate on the benefits of modular ontologies with respect to local containment of terminological reasoning. We define an architecture for modular ontologies that supports local reasoning by compiling implied subsumption relations. We further address the problem of guaranteeing the integrity of a modular ontology in the presence of local changes. We propose a strategy for analyzing changes and guiding the process of updating compiled information.Key words: Ontologies, Reasoning, Distributed Knowledge Representation, Change Management MotivationCurrently, research in the area of the semantic web is in a state where ontologies are ready to applied in real applications such as semantic web portals, information retrieval or information integration. In order to lower the effort of building ontology-based applications, there is a clear need for a representational and computational infrastructure in terms of general purpose tools for building, storing and accessing ontologies. A number of such tools have been developed, i.e. ontology editors [1,2], reasoning systems [3,4] and more recently storage and query systems (e.g. [5]). Most of these tools, however,

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Section: Characterizing Changesmentioning

confidence: 99%

Reasoning and change management in modular ontologies

Stuckenschmidt

Klein

2007

Data & Knowledge Engineering

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“…Finally, also our previous work [43,44] concerned a formal characterization of the schema evolution process in an object-oriented database. We formalized the notion of schema version and the interschema relationships induced by schema changes using an encoding in Description Logics [45].…”

Section: Related Work and Discussionmentioning

confidence: 99%

“…complete database) level, which can be solved using the inference engine of the Description Logic. However, we did not consider the change propagation problem in [43,44]: we actually assumed dealing with a single database instance, compatible with every derivable schema version, as the only way to ensure portability of applications compiled with past schema versions. An extreme consequence of such an approach is the introduction of a strong notion of "monotonicity": all the legal instances of the schema version resulting from a schema change were also legal with respect to the schema version which has been modified, so that there is no need for change propagation at all.…”

Section: Related Work and Discussionmentioning

confidence: 99%

A formal model for temporal schema versioning in object-oriented databases

Grandi

Mandreoli

2003

Data & Knowledge Engineering

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In this paper we present a formal model for the support of temporal schema versions in object-oriented databases. Its definition is partially based on a generic (ODMG compatible) object model and partially introduces new concepts. The proposed model supports all the schema changes which are usually considered in the OODB literature, for which an operational semantics and a formal analysis of their correct behaviour is provided. Semantic issues arising from the introduction of temporal schema versioning in a conventional or temporal database (concerning the interaction between the intensional and extensional levels of versioning and the management of data in the presence of multiple schema versions) are also considered.

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“…New technical frameworks such as those provided by Franconi [23] for schema evolution and the development of standards for computable ontologies -the Ontology Inference Layer (OIL) [24] may provide further tools. However, what is urgently needed are practical tools for defining each interface.…”

Section: Discussionmentioning

confidence: 99%

Interface of Inference Models with Concept and Medical Record Models

Rector

Johnson

et al. 2001

Artificial Intelligence in Medicine

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Abstract. Medical information systems and standards are increasingly based on principled models of at least three distinct sorts of information -patient data, concepts (terminology), and guidelines (decision support). Well defined interfaces are required between the three types of model to allow development to proceed independently. Two of the major issues to be dealt with in the defining of such interfaces are the interaction between ontological and inferential abstractions -how general notions such as 'abnormal cardiovascular finding' are abstracted from concrete data -and the management of the meaning of information in guidelines in different contexts. This paper explores these two issues and their ramifications.

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A Semantic Approach for Schema Evolution and Versioning in Object-Oriented Databases

Cited by 33 publications

References 27 publications

Reasoning and change management in modular ontologies

Reasoning and change management in modular ontologies

A formal model for temporal schema versioning in object-oriented databases

Interface of Inference Models with Concept and Medical Record Models

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