Evaluation of Semi-automated Ontology Instance Migration

Davidovsky, Maxim; Ermolayev, Vadim; Matzke, Wolf-Ekkehard; Tolok, Vyacheslav

doi:10.1007/978-3-642-15211-5_19

Cited by 5 publications

(4 citation statements)

References 13 publications

(12 reference statements)

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“…At the second step agents use Instance Migration Engine in order to transfer instances between ontologies and based on the transformation rules generated at the first step. Problem cases occurring during the migration are recorded into the migration log (possible problems and collisions during the migration are considered and analyzed in [11] and [5]). Finally, the target ontology agent asks a reasoner for the consistency check of the obtained ontology .…”

Section: Ontology Alignment Processmentioning

confidence: 99%

Agent-Based Implementation for the Discovery of Structural Difference in OWL-DL Ontologies

Davidovsky¹,

Ermolayev²,

Tolok³

2013

Lecture Notes in Business Information Processing

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Abstract. Various knowledge-based information systems contain distinct knowledge representations reflecting different domains of interest and different viewpoints across domains of discourse. For efficient use of knowledge-based systems it is necessary to know semantic relations or alignment between different knowledge representations. One of the promising approaches is the use of intelligent software agents where agents communicate in order to align respective knowledge representations. The paper presents an approach for ontology alignment based on implementation of meaning negotiation between intelligent agents. In the approach, negotiation is conducted in iterative way. At each step agents compare ontological contexts and use propositional substitutions in order to reduce semantic distance between the contexts. The focus of the paper is the implementation of agents' negotiation strategy.

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Section: Ontology Alignment Processmentioning

confidence: 99%

Agent-Based Implementation for the Discovery of Structural Difference in OWL-DL Ontologies

Davidovsky¹,

Ermolayev²,

Tolok³

2013

Lecture Notes in Business Information Processing

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“…Agents use ontology matching to determine the knowledge that remains adequate to the changes for reuse in a new ontology version or in a new ontology. A typical subtask is instance migration in order to populate the obtained target ontology ABox based on the analysis of the structural differences between the sorce and the target TBoxes (Davidovsky, Ermolayev and Tolok, 2010). Packer, Gibbins and Jennings (2009) present an approach for ontology evolution and knowledge acquisition based on agent collaboration.…”

Section: Ontology Alignment and Applicationsmentioning

confidence: 99%

A Survey on Agent-Based Ontology Alignment

Davidovsky¹,

Ermolayev

Tolok³

2012

Proceedings of the 4th International Conference on Agents and Artificial Intelligence

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Abstract:Ontologies today are increasingly used as consensual knowledge representations in many distributed applications. However, if a system of knowledge based nodes is decentralized, the ontologies at those nodes differ. Therefore the alignment of knowledge representations is required. One of the promising approaches to solve this heterogeneity is the use of agents for aligning knowledge representations. The paper presents a brief survey of the approaches to agent-based ontology alignment. The analysis of these approaches is grounded on the analysis of the requirements to ontology alignments by typical applications that address semantic heterogeneity in open and decentralized settings.

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“…Current research and development further extend and refine these results. As opposed to our current approach 13 , the predecessor work 12 is based on the use of an ontology instance migration scenario driving the migration process and encoded as a Python script. A more comprehensive survey of alternative approaches to ontology instance migration is given in our technical report 14 .…”

Section: Related Workmentioning

confidence: 99%

“…As opposed to our current approach 13 , the predecessor work 12 is based on the use of an ontology instance migration scenario driving the migration process and encoded as a Python script. A more comprehensive survey of alternative approaches to ontology instance migration is given in our technical report 14 . A good survey of the related work has been done by Serafini and Tamilin 15 .…”

Section: Related Workmentioning

confidence: 99%

Instance Migration Between Ontologies Having Structural Differences

Davidovsky

Ermolayev

Tolok

2011

Int. J. Artif. Intell. Tools

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Ontology instance migration is one of the complex and not fully solved problems in knowledge management. A solution is required when the ontology schema evolves in the life cycle and the assertions have to be transferred to the newer version. The problem may become more complex in distributed settings when, for example, several autonomous software entities use and exchange partial assertional knowledge in a domain that is formalized by different though semantically overlapping descriptive theories. Such an exchange is essentially the migration of the assertional part of an ontology to other ontologies belonging to or used by different entities. The paper presents our method and tool for migrating instances between the ontologies that have structurally different but semantically overlapping schemas. The approach is based on the use of the manually coded transformation rules describing the changes between the input and the output ontologies. The tool is implemented as a plug-in for the ProjectNavigator prototype software framework. The article also reports the results of our three evaluation experiments. In these experiments we evaluated the degree of complexity in the structural changes to which our approach remains valid. We also chose the ontology sets in one of the experiments to make the results comparable with the ontology alignment software. Finally we checked how well our approach scales with the increase of the quantity of the migrated ontology instances to the numbers that are characteristic to industrial ontologies. In our opinion the evaluation results are satisfactory and suggest some directions for the future work.

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Evaluation of Semi-automated Ontology Instance Migration

Cited by 5 publications

References 13 publications

Agent-Based Implementation for the Discovery of Structural Difference in OWL-DL Ontologies

Agent-Based Implementation for the Discovery of Structural Difference in OWL-DL Ontologies

A Survey on Agent-Based Ontology Alignment

Instance Migration Between Ontologies Having Structural Differences

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