A model driven approach for the development of metadata editors, applicability to the annotation of geographic information resources

Nogueras-Iso, Javier; Latre, Miguel Ángel; Béjar, Rubén; Muro‐Medrano, Pedro R.; Zarazaga‐Soria, F. Javier

doi:10.1016/j.datak.2012.09.001

Cited by 6 publications

(2 citation statements)

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“…From a theoretical viewpoint, the approach implemented in the CatMEDit editor (http://catm dedit.sourceforge.net/) and described in [28] is valuable because it addresses schema heterogeneity issues by harnessing the MDA techniques developed by Object Management Group-Model Driven Architecture (OMG: http://www.omg.org/mda/) In a nutshell, in this work, the authors abstract from the specific metadata schema by defining distinct metamodels that can then be translated into the corresponding editing interface, reflecting all the constraints defined by the former. In principle, this can address any possible custom profile derived from ISO 19115/19119 but requires background knowledge on the distinct phases that, in MDA, allow for translating the abstract model into implementation.…”

Section: Related Work: Schema Independencementioning

confidence: 99%

Raising Semantics-Awareness in Geospatial Metadata Management

Fugazza

Pepe

Oggioni

et al. 2018

IJGI

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Geospatial metadata are often encoded in formats that either are not aimed at efficient retrieval of resources or are plainly outdated. Particularly, the quantum leap represented by the Semantic Web did not induce so far a consistent, interlinked baseline in the geospatial domain. Datasets, scientific literature related to them, and ultimately the researchers behind these products are only loosely connected; the corresponding metadata intelligible only to humans, duplicated in different systems, seldom consistently. We address these issues by relating metadata items to resources that represent keywords, institutes, researchers, toponyms, and virtually any RDF data structure made available over the Web via SPARQL endpoints. Essentially, our methodology fosters delegated metadata management as the entities referred to in metadata are independent, decentralized data structures with their own life cycle. Our example implementation of delegated metadata envisages: (i) editing via customizable web-based forms (including injection of semantic information); (ii) encoding of records in any XML metadata schema; and (iii) translation into RDF. Among the semantics-aware features that this practice enables, we present a worked-out example focusing on automatic update of metadata descriptions. Our approach, demonstrated in the context of INSPIRE metadata (the ISO 19115/19119 profile eliciting integration of European geospatial resources) is also applicable to a broad range of metadata standards, including non-geospatial ones.

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Section: Related Work: Schema Independencementioning

confidence: 99%

Raising Semantics-Awareness in Geospatial Metadata Management

Fugazza

Pepe

Oggioni

et al. 2018

IJGI

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“…Cui [37] reported the development and evaluation of CharaParser, a software application for manual semantic annotation of morphological descriptions. Nogueras-Iso et al [38] proposed a framework according to model-driven architecture in order to accelerate the development of metadata editors while reducing its cost. However, even with the code-transformation function of Platform Specific Models, the framework focuses more on the construction of a Platform Independent Model than improving the annotation efficiency.…”

Section: Related Workmentioning

confidence: 99%

A user-oriented semantic annotation approach to knowledge acquisition and conversion

Hao

Zhu

et al. 2016

Journal of Information Science

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Semantic annotation on natural language texts labels the meaning of an annotated element in specific contexts, and thus is an essential procedure for domain knowledge acquisition. An extensible and coherent annotation method is crucial for knowledge engineers to reduce human efforts to keep annotations consistent. This article proposes a comprehensive semantic annotation approach supported by a user-oriented markup language named UOML to enhance annotation efficiency with the aim of building a high quality knowledge base. UOML is operable by human annotators and convertible to formal knowledge representation languages. A pattern-based annotation conversion method named PAC is further proposed for knowledge exchange by utilizing automatic pattern learning. We designed and implemented a semantic annotation platform Annotation Assistant to test the effectiveness of the approach. By applying this platform in a long-term international research project for more than three years aiming at high quality knowledge acquisition from a classical Chinese poetry corpus containing 52,621 Chinese characters, we effectively acquired 150,624 qualified annotations. Our test shows that the approach has improved operational efficiency by 56.8%, on average, compared with text-based manual annotation. By using UOML, PAC achieved a conversion error ratio of 0.2% on average, significantly improving the annotation consistency compared with baseline annotations. The results indicate the approach is feasible for practical use in knowledge acquisition and conversion.

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