Layered change log model: bridging between ontology change representation and pattern mining

Javed, Muhammad; Abgaz, Yalemisew M.; Pahl, Claus

doi:10.1504/ijmso.2014.063137

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Javed et al (2014) proposed a layered change log model to represent ontology changes. Chawuthai et al (2016) presented a logical model named Linked Taxonomic Knowledge (LTK), and LTK Ontology for preserving and representing changes in taxonomic knowledge for Linked Data.…”

Section: Provenance For the Long-term Maintenance Of Metadata Schemasmentioning

confidence: 99%

Provenance description of metadata application profiles for long-term maintenance of metadata schemas

Sugimoto

2018

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Purpose Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas. Design/methodology/approach The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP-PROV and semi-formal change log description in English. Findings Formal provenance description in the DSP-PROV model has advantages over semi-formal provenance description in English to keep metadata schemas consistent over time. Research limitations/implications The DSP-PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered. Originality/value This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi-formal provenance description.

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Section: Provenance For the Long-term Maintenance Of Metadata Schemasmentioning

confidence: 99%

Provenance description of metadata application profiles for long-term maintenance of metadata schemas

Sugimoto

2018

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“…However, these changes of RDA vocabularies are not kept interpretable to machines over time. Javed, Abgaz, and Pahl (2014) proposed a layered change log model to record the changes of ontology using RDF triple-based representation. The changes are recorded using their own change metadata ontology and existing Provenance Vocabulary Core Ontology terms.…”

Section: Research Papermentioning

confidence: 99%

Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata

Sugimoto

2017

Journal of Data and Information Science

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Purpose: The purpose of this paper is to discuss provenance description of metadata terms and metadata vocabularies as a set of metadata terms. Provenance is crucial information to keep track of changes of metadata terms and metadata vocabularies for their consistent maintenance.Design/methodology/approach: The W3C PROV standard for general provenance description and Resource Description Framework (RDF) are adopted as the base models to formally define provenance description for metadata vocabularies.Findings: This paper defines a few primitive change types of metadata terms, and a provenance description model of the metadata terms based on the primitive change types. We also provide examples of provenance description in RDF graphs to show the proposed model. Research limitations:The model proposed in this paper is defined based on a few primitive relationships (e.g. addition, deletion, and replacement) between pre-version and post-version of a metadata term. The model is simplified and the practical changes of metadata terms can be more complicated than the primitive relationships discussed in the model. Practical implications:Formal provenance description of metadata vocabularies can improve maintainability of metadata vocabularies over time. Conventional maintenance of metadata terms is the maintenance of documents of terms. The proposed model enables effective and automated tracking of change history of metadata vocabularies using simple formal description scheme defined based on widely-used standards.Originality/value: Changes in metadata vocabularies may cause inconsistencies in the longterm use of metadata. This paper proposes a simple and formal scheme of provenance description of metadata vocabularies. The proposed model works as the basis of automated maintenance of metadata terms and their vocabularies and is applicable to various types of changes.

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Structural Process Pattern Matching Based on Graph Morphism Detection

Gacitua-Decar¹,

Pahl

2017

Int. J. Soft. Eng. Knowl. Eng.

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Context: Processes are central to the operation of many systems or organizations. Process-centric systems, ranging from enterprise workflow systems to open distributed service compositions, have significantly increased in number and complexity. Objective: Designers of process-centric systems can benefit from process abstractions (including patterns) capturing and allowing the reuse of designs for frequent operational problems. Existing process patterns detection techniques have efficiency problems and difficulties to identify partial and inexact pattern instances. Method: We propose a process pattern detection technique based on a family of subgraph matching algorithms. The algorithms implement surjective graph morphism detection and a mechanism to incorporate semantic similarity computation for types and attributes of process graph elements. Results: Efficiency is addressed using simplified data structures, reducing the search space and its exploration. Match accuracy and time-complexity are demonstrated in an experimental study. Conclusions: Using process patterns allows business and technical processes to be provided as sharable service resources. Patterns can help to manage processes as configurable resources where a pattern can define a family of concrete customizable processes.

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Layered change log model: bridging between ontology change representation and pattern mining

Cited by 5 publications

References 13 publications

Provenance description of metadata application profiles for long-term maintenance of metadata schemas

Provenance description of metadata application profiles for long-term maintenance of metadata schemas

Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata

Structural Process Pattern Matching Based on Graph Morphism Detection

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