Domain Specific Semantic Validation of Schema.org Annotations

Şimşek, Umutcan; Kärle, Elias; Holzknecht, Omar; Fensel, Dieter

doi:10.1007/978-3-319-74313-4_31

Cited by 14 publications

(13 citation statements)

References 9 publications

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“…In this paper, we extend our previous work [21], where we introduced a Domain Specification, and present an approach for verification and validation of semantic annotations. A Domain Specification (DS) is a design pattern for semantic annotations; an extended subset of types, properties, and ranges from schema.org.…”

Section: Introductionmentioning

confidence: 91%

Verification and Validation of Semantic Annotations

Panasiuk

Holzknecht

Şimşek

et al. 2019

Lecture Notes in Computer Science

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In this paper, we propose a framework to perform verification and validation of semantically annotated data. The annotations, extracted from websites, are verified against the schema.org vocabulary and Domain Specifications to ensure the syntactic correctness and completeness of the annotations. The Domain Specifications allow checking the compliance of annotations against corresponding domain-specific constraints. The validation mechanism will detect errors and inconsistencies between the content of the analyzed schema.org annotations and the content of the web pages where the annotations were found.

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Section: Introductionmentioning

confidence: 91%

Verification and Validation of Semantic Annotations

Panasiuk

Holzknecht

Şimşek

et al. 2019

Lecture Notes in Computer Science

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“…Conceptualizing a domain corresponds to model phenomena of the real world that characterize the domain of interest. Thus, a domain can be conceptualized by explicitly defining concepts, properties and constraints that concur to describe the phenomena of interest [11]. For example, in the financial domain, the concept of "financing" and the concept of "amortization plan" are characterized by precise properties.…”

Section: Reporting and Knowledge Representationmentioning

confidence: 99%

RADAR: Resilient Application for Dependable Aided Reporting

2021

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Many organizations must produce many reports for various reasons. Although this activity could appear simple to carry out, this fact is not at all true: indeed, generating reports requires the collection of possibly large and heterogeneous data sets. Furthermore, different professional figures are involved in the process, possibly with different skills (database technicians, domain experts, employees): the lack of common knowledge and of a unifying framework significantly obstructs the effective and efficient definition and continuous generation of reports. This paper presents a novel framework named RADAR, which is the acronym for “Resilient Application for Dependable Aided Reporting”: the framework has been devised to be a ”bridge” between data and employees in charge of generating reports. Specifically, it builds a common knowledge base in which database administrators and domain experts describe their knowledge about the application domain and the gathered data; this knowledge can be browsed by employees to find out the relevant data to aggregate and insert into reports, while designing report layouts; the framework assists the overall process from data definition to report generation. The paper presents the application scenario and the vision by means of a running example, defines the data model and presents the architecture of the framework.

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“…Unfortunately, a large variety of erroneous and restricted usage in the semantic markup are made in practice when using vocabularies like Schema.org, which hinders real-life applications to use the data [10,28]. To counteract this problem, Şimşek et al described an approach that validates Schema.org markup in terms of completeness of the annotations for a specified domain and semantic consistency [29] that was implemented in an online-tool semantify.it [30].…”

Section: Background and Related Workmentioning

confidence: 99%

Usage of Semantic Web in Austrian Regional Tourism Organizations

Lohvynenko

Nedbal

2019

Lecture Notes in Computer Science

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Tourism is one of the most important economic sectors in Austria. Given the high internationality degree of Austrian visitors, the websites of regional tourism organizations (RTOs) are an essential source of information. A state-of-the-art tourism website should include semantic markup for touristic topics so that search engines and other intelligent software applications can access and understand the presented data. This paper empirically studies the usage of Semantic Web formats, ontologies and topics relevant for tourism on the websites of all 137 Austrian RTOs. Results show that 59% of the RTOs use semantic markup. Most regions adhere to the recommendations of leading search engines utilizing ontologies such as Schema.org and the formats Microdata and JSON-LD. While most semantic markup incorporates basic information (e.g. navigation, addresses, corporate data), only few Austrian RTOs annotate touristic relevant topics that would contribute to unlock the full potential of the Semantic Web such as regional events, accommodations, blog posts, images or social media.

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Domain Specific Semantic Validation of Schema.org Annotations

Cited by 14 publications

References 9 publications

Verification and Validation of Semantic Annotations

Verification and Validation of Semantic Annotations

RADAR: Resilient Application for Dependable Aided Reporting

Usage of Semantic Web in Austrian Regional Tourism Organizations

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