High-Level Operations for Creation and Maintenance of Temporal and Conventional Schema in the tauXSchema Framework

Brahmia, Zouhaier; Grandi, Fábio; Oliboni, Barbara; Bouaziz, Rafik

doi:10.1109/time.2014.14

Cited by 10 publications

(3 citation statements)

References 28 publications

(55 reference statements)

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“…In the next future, we plan to propose high-level schema change operations, since they are more user-friendly that schema change primitives; a high-level operation is a valid and optimized sequence of primitives, which correspond to frequent schema evolution needs and allows expressing complex changes in a more compact way [6]. Moreover, we plan to deeply study conventional ontology schema change propagation and how the system could generate automatically the optimized list of XQuery Update Facility statements associated to every schema change transaction.…”

Section: Resultsmentioning

confidence: 99%

$$\uptau $$ τ OWL: A Systematic Approach to Temporal Versioning of Semantic Web Ontologies

et al. 2016

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The W3C OWL 2 recommendation is an ontology language for the Semantic Web. It allows defining both schema (i.e., entities, axioms, and expressions) and instances (i.e., individuals) of ontologies. However, OWL 2 lacks explicit support for time-varying schema or for time-varying instances. Hence, knowledge engineers or maintainers of semantics-based Web resources have to use ad hoc techniques to specify OWL 2 time-varying ontologies. In this paper, for a disciplined and systematic approach to the temporal management of Semantic Web ontologies, we propose the adoption of a framework called temporal OWL 2 (τOWL), which is inspired by the τXSchema framework defined for XML data. In a way similar to what happens in τXSchema, τOWL allows creating a temporal OWL 2 ontology from a conventional (i.e., non-temporal) OWL 2 ontology and a set of logical and physical annotations. Logical annotations identify which elements of the ontology can vary over time; physical annotations specify how the time-varying aspects are represented in the OWL 2 document. Using annotations to integrate temporal aspects in the traditional Semantic Web, our framework (1) guarantees logical and physical data independence for temporal schemas and (2) provides a low-impact solution, since it requires neither modifications of existing Semantic B Zouhaier Brahmia Web ontologies, nor extensions to the OWL 2 recommendation and Semantic Web standards. Moreover, since the conventional schema and annotation documents could evolve over time to respond to new applications' requirements, τOWL supports temporal schema versioning by allowing changing these components and by keeping track of their evolution through the conventional schema versions and annotation document versions, respectively. Two complete sets of operations are proposed for changing the conventional schema and annotation documents; to complete the figure, a set of operations is also introduced for updating temporal schema which must be changed consequently each time one of the mentioned components evolves over time. To show the feasibility of our approach, a prototype tool, named τOWL-Manager, is presented.

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Section: Resultsmentioning

confidence: 99%

$$\uptau $$ τ OWL: A Systematic Approach to Temporal Versioning of Semantic Web Ontologies

et al. 2016

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“…Even existing JSON NoSQL DBMSs do not provide any support for this type of operations. Notice that in a previous work [35], we have dealt with high-level operations but for changing XML schemas in a temporal XML environment that supports schema versioning [36][37][38].…”

Section: Related Work Discussionmentioning

confidence: 99%

JUpdate: A JSON Update Language

Brahmia

Grandi

et al. 2022

Electronics

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Although JSON documents are being used in several emerging applications (e.g., Big Data applications, IoT, mobile computing, smart cities, and online social networks), there is no consensual or standard language for updating JSON documents (i.e., creating, deleting or changing such documents, where changing means inserting, deleting, replacing, copying, moving, etc., portions of data in such documents). To fill this gap, we propose in this paper an SQL-like language, named JUpdate, for updating JSON documents. JUpdate is based on a set of six primitive update operations, which is proven complete and minimal, and it provides a set of fourteen user-friendly high-level operations with a well-founded semantics defined on the basis of the primitive update operations.

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“…In Brahmia et al (2014b), the authors have proposed (among others) a large set of high-level operations for changing XML schemas, in a schema versioning (Brahmia et al , 2015) environment, but no operation that acts on the design style of an XML schema has been considered. To extend such a framework, in this work, we have proposed seven procedures that could be used as high-level operations for performing any desired design style conversion involving a given XML schema.…”

Section: Related Work Discussionmentioning

confidence: 99%

Conversion of XML schema design styles with StyleVolution

Brahmia

Grandi

Bouaziz

2019

IJWIS

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Purpose Any XML schema definition can be organized according to one of the following design styles: “Russian Doll”, “Salami Slice”, “Venetian Blind” and “Garden of Eden” (with the additional “Bologna” style actually representing absence of style). Conversion from a design style to another can facilitate the reuse and exchange of schema specifications encoded using the XML schema language. Without any computer-aided engineering support, style conversions must be performed very carefully as they are difficult and error-prone operations. The purpose of this paper is to efficiently deal with such XML schema design style conversions. Design/methodology/approach A general approach, named StyleVolution, for automatic management of XML schema design style conversions, is proposed. StyleVolution is equipped with a suite of seven procedures: four for converting a valid XML schema from any other design style to the “Garden of Eden” style, which has been chosen as a normalized XML schema format, and three for converting from the “Garden of Eden” style to any of the other desired design styles. Findings Procedures, algorithms and methods for XML schema design style conversions are presented. The feasibility of the approach has been shown through the encoding (using the XQuery language) and the testing (with the Altova XMLSpy 2019 tool) of a suite of seven ready-to-use procedures. Moreover, four test procedures are provided for checking the conformance of a given input XML schema to a schema design style. Originality/value The proposed approach implements a new technique for efficiently managing XML schema design style conversions, which can be used to make any given XML schema file to conform to a desired design style.

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High-Level Operations for Creation and Maintenance of Temporal and Conventional Schema in the tauXSchema Framework

Cited by 10 publications

References 28 publications

$$\uptau $$ τ OWL: A Systematic Approach to Temporal Versioning of Semantic Web Ontologies

$$\uptau $$ τ OWL: A Systematic Approach to Temporal Versioning of Semantic Web Ontologies

JUpdate: A JSON Update Language

Conversion of XML schema design styles with StyleVolution

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