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A Framework for Handling Inconsistency in Changing Ontologies

by Peter Haase, Frank Van Harmelen, Zhisheng Huang, Heiner Stuckenschmidt - In International Semantic Web Conference (ISWC , 2005
"... Abstract. One of the major problems of large scale, distributed and evolving on-tologies is the potential introduction of inconsistencies. In this paper we survey four different approaches to handling inconsistency in DL-based ontologies: con-sistent ontology evolution, repairing inconsistencies, re ..."
Abstract - Cited by 109 (19 self) - Add to MetaCart
Abstract. One of the major problems of large scale, distributed and evolving on-tologies is the potential introduction of inconsistencies. In this paper we survey four different approaches to handling inconsistency in DL-based ontologies: con-sistent ontology evolution, repairing inconsistencies, reasoning in the presence of inconsistencies and multi-version reasoning. We present a common formal ba-sis for all of them, and use this common basis to compare these approaches. We discuss the different requirements for each of these methods, the conditions un-der which each of them is applicable, the knowledge requirements of the various methods, and the different usage scenarios to which they would apply. 1
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A Framework for Ontology Evolution in Collaborative Environments

by Natalya F. Noy, Abhita Chugh, William Liu, Mark A. Musen - IN: 5TH INTERNATIONAL SEMANTIC WEB CONFERENCE , 2006
"... With the wider use of ontologies in the Semantic Web and as part of production systems, multiple scenarios for ontology maintenance and evolution are emerging. For example, successive ontology versions can be posted on the (Semantic) Web, with users discovering the new versions serendipitously; on ..."
Abstract - Cited by 96 (16 self) - Add to MetaCart
With the wider use of ontologies in the Semantic Web and as part of production systems, multiple scenarios for ontology maintenance and evolution are emerging. For example, successive ontology versions can be posted on the (Semantic) Web, with users discovering the new versions serendipitously; ontology-development in a collaborative environment can be synchronous or asynchronous; managers of projects may exercise quality control, examining changes from previous baseline versions and accepting or rejecting them before a new baseline is published, and so on. In this paper, we present different scenarios for ontology maintenance and evolution that we have encountered in our own projects and in those of our collaborators. We define several features that categorize these scenarios. For each scenario, we discuss the high-level tasks that an editing environment must support. We then present a unified comprehensive set of tools to support different scenarios in a single framework, allowing users to switch between different modes easily.

L: Consistent evolution of OWL ontologies

by Peter Haase, Ljiljana Stojanovic - In Proceedings of the 2nd European Semantic Web Conference, Volume 3532 of LNCS
"... Abstract. Support for ontology evolution is extremely important in ontology en-gineering and application of ontologies in dynamic environments. A core aspect in the evolution process is the to guarantee consistency of the ontology when changes occur. In this paper we discuss the consistent evolution ..."
Abstract - Cited by 90 (8 self) - Add to MetaCart
Abstract. Support for ontology evolution is extremely important in ontology en-gineering and application of ontologies in dynamic environments. A core aspect in the evolution process is the to guarantee consistency of the ontology when changes occur. In this paper we discuss the consistent evolution of OWL ontolo-gies. We present a model for the semantics of change for OWL ontologies, con-sidering structural, logical, and user-defined consistency. We introduce resolution strategies to ensure that consistency is maintained as the ontology evolves. 1
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Ontology Change Detection Using a Version Log

by Peter Plessers, Olga De Troyer - In Proceeding of the 4th International Semantic Web Conference , 2005
"... Abstract. In this article, we propose a new ontology evolution approach that combines a top-down and a bottom-up approach. This means that the manual request for changes (top-down) by the ontology engineer is complemented with an automatic change detection mechanism (bottom-up). The approach is base ..."
Abstract - Cited by 36 (1 self) - Add to MetaCart
Abstract. In this article, we propose a new ontology evolution approach that combines a top-down and a bottom-up approach. This means that the manual request for changes (top-down) by the ontology engineer is complemented with an automatic change detection mechanism (bottom-up). The approach is based on keeping track of the different versions of ontology concepts throughout their lifetime (called virtual versions). In this way, changes can be defined in terms of these virtual versions. 1
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Reasoning with Multi-Version Ontologies: A Temporal Logic Approach

by Zhisheng Huang, Heiner Stuckenschmidt - In Proceeding of the 4th International Semantic Web Conference (ISWC , 2005
"... Abstract. In this paper we propose a framework for reasoning with multi-version ontology, in which a temporal logic is developed to serve as its semantic foundation. We show that the temporal logic approach can provide a solid semantic foundation which can support various requirements on multi-versi ..."
Abstract - Cited by 33 (3 self) - Add to MetaCart
Abstract. In this paper we propose a framework for reasoning with multi-version ontology, in which a temporal logic is developed to serve as its semantic foundation. We show that the temporal logic approach can provide a solid semantic foundation which can support various requirements on multi-version ontology reasoning. We have implemented the prototype of MORE (Multi-version Ontology REasoner), which is based on the proposed framework. We have tested MORE with several realistic ontologies. In this paper, we also discuss the implementation issues and report the experiments with MORE. 1

Analyzing the Evolution of Life Science Ontologies and Mappings - Extended Version. Leipzig Bioinformatics Working Paper No

by Michael Hartung, Toralf Kirsten, Erhard Rahm
"... Abstract. Ontologies are heavily developed and used in life sciences and undergo continuous changes. However, the evolution of life science ontologies and references to them (e.g., annotations) is not well understood and has received little attention so far. We therefore propose a generic framework ..."
Abstract - Cited by 26 (10 self) - Add to MetaCart
Abstract. Ontologies are heavily developed and used in life sciences and undergo continuous changes. However, the evolution of life science ontologies and references to them (e.g., annotations) is not well understood and has received little attention so far. We therefore propose a generic framework for analyzing both the evolution of ontologies and the evolution of ontology-related mappings, in particular annotations referring to ontologies and similarity (match) mappings between ontologies. We use our framework for an extensive comparative evaluation of evolution measures for 16 life science ontologies. Moreover, we analyze the evolution of annotation mappings and ontology mappings for the Gene Ontology.
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Modeling and Reasoning about Changes in Ontology Time Series

by Tomi Kauppinen, Eero Hyvönen - INTEGRATED SERIES IN INFORMATION SYSTEMS , 2007
"... Ontologies evolve when the underlying domain world changes at different points of time. The result then is a series of ontologies whose concepts are related with each other not only within one ontology valid at a moment but through the time, too. This chapter presents a model for representing onto ..."
Abstract - Cited by 25 (10 self) - Add to MetaCart
Ontologies evolve when the underlying domain world changes at different points of time. The result then is a series of ontologies whose concepts are related with each other not only within one ontology valid at a moment but through the time, too. This chapter presents a model for representing ontology time series. The focus is on modeling partial overlap between concepts evolving over long periods of time, and the domain of application is historical geospatial reasoning. A framework is presented for representing and reasoning about conceptual overlap of concepts that evolve over an ontology time series. The idea is to provide the ontology developer with an intuitive change ontology for expressing local ontological changes in a declarative way. An algorithm is presented for reasoning about overlapping concepts globally over long periods of time. This algorithm can be applied, e.g., in concept-based information retrieval for ranking search results according to their relevance.

A tool for collaborative ontology development for the semantic web

by Arttu Valo, Eero Hyvönen, Ville Komulainen - IN PROCEEDINGS OF INTERNATIONAL CONFERENCE ON DUBLIN CORE AND METADATA APPLICATIONS (DC 2005 , 2005
"... We present a national ontology library development framework ONKI under development in Finland. ONKI’s main goal is to support collaborative development and re-use of interdependent ontologies. It features change management and versioning of ontologies as well as a browser component which provides t ..."
Abstract - Cited by 18 (7 self) - Add to MetaCart
We present a national ontology library development framework ONKI under development in Finland. ONKI’s main goal is to support collaborative development and re-use of interdependent ontologies. It features change management and versioning of ontologies as well as a browser component which provides the ontology search and utilization services as Web Services.
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Creating and using geospatial ontology time series in a semantic cultural heritage portal

by Tomi Kauppinen, Jari Väätäinen, Eero Hyvönen - PROCEEDINGS OF THE 5TH EUROPEAN SEMANTIC WEB CONFERENCE 2008 ESWC 2008, LNCS 5021 , 2008
"... Content annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical regions and places using names whose meanings are different in different times. For example, historical administrational regions such as countries, municipalities, and cities have been ren ..."
Abstract - Cited by 16 (4 self) - Add to MetaCart
Content annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical regions and places using names whose meanings are different in different times. For example, historical administrational regions such as countries, municipalities, and cities have been renamed, merged together, split into parts, and annexed or moved to and from other regions. Even if the names of the regions remain the same (e.g., “Germany”), the underlying regions and their relationships to other regions may change (e.g., the regional borders of “Germany ” at different times). As a result, representing and finding the right ontological meanings for historical geographical names on the semantic web creates severe problems both when annotating contents and during information retrieval. This paper presents a model for representing the meaning of changing geospatial resources. Our aim is to enable precise annotation with temporal geospatial resources and to enable semantic search and browsing using related names from other historical time periods. A simple model and metadata schema is presented for representing and maintaining geospatial changes from which an explicit time series of temporal part-of ontologies can be created automatically. The model has been applied successfully to represent the complete change history of municipalities in Finland during 1865–2007. The resulting ontology time series is used in the semantic cultural heritage portal CULTURESAMPO to support faceted semantic search of contents and to visualize historical regions on overlaying maps originating from different historical eras.

Dynamic ontology evolution

by Fouad Zablith - ISWC Doctoral Consortium , 2008
"... Abstract. Ontologies form the core of Semantic Web systems, and as such, they need to evolve to meet the changing needs of the system and its users. Most of current ontology evolution systems require user input during their processes. We propose Evolva, an ontology evolution framework, aiming to sub ..."
Abstract - Cited by 13 (6 self) - Add to MetaCart
Abstract. Ontologies form the core of Semantic Web systems, and as such, they need to evolve to meet the changing needs of the system and its users. Most of current ontology evolution systems require user input during their processes. We propose Evolva, an ontology evolution framework, aiming to substantially reduce or even eliminate user input through exploiting various background knowledge sources. In this paper we present our ontology evolution approach, as well as our preliminary outcomes and future directions. 1
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