An Analysis of the Origin of Ontology Mismatches on the Semantic Web

Smart, Paul R.; Engelbrecht, Paula C.

doi:10.1007/978-3-540-87696-0_13

Cited by 7 publications

(9 citation statements)

References 16 publications

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“…There often seems to be a mismatch between the representational requirements of a specific user community and the kind of ontologies that are available for use on the SW. The source of this mismatch may stem from a failure of published ontologies to keep pace with the rate of conceptual change in a specific domain (see [5]), or it may simply stem from the fact that ontology engineers are sometimes far removed from the kind of application domains in which an ontology is ultimately likely to be used.  Visibility of practical benefits.…”

Section: Background: the Semantic Web Wikis And Controlled Natural Lmentioning

confidence: 99%

“…AceWiki uses a proprietary wiki system that is built specifically to support content authoring using ACE. WikiOnt-CNL is implemented on top of SMW, which itself is implemented as an extension to the popular MediaWiki engine 5 . WikiOnt-CNL has all the functionality of SMW, and because SMW has an active developer community there are lots of additional extensions that can be used to extend its functionality even further (e.g.…”

Section: Background: the Semantic Web Wikis And Controlled Natural Lmentioning

confidence: 99%

“…Further worries relate to the visibility of practical benefits, the dynamics of conceptual change in specific communities of interest (see [5]), and the mismatch between end-user representational requirements and the nature of available ontological content. Semantic wikis present a potential solution to (at least some of) these problems (see Section 2).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of a Controlled Natural Language Interface for Semantic MediaWiki

Smart

Bao

Braines

et al. 2010

Lecture Notes in Computer Science

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Abstract. Semantic wikis support the collaborative creation, editing and utilization of semantically-enriched content, and they may therefore be wellsuited to addressing problems associated with the limited availability of highquality online semantic content. Unfortunately, however, many popular semantic wikis, such as Semantic MediaWiki (SMW), are not sufficiently expressive to support full-scale ontology authoring. Furthermore, the grounding of the Semantic Web in formal logic makes both the comprehension and production of ontological content difficult for many end-users. In order to address these issues, the expressivity of SMW was extended using a combination of semantic templates and a Web Ontology Language (OWL) meta-model. Semantic templates were also used to provide an ontology verbalization capability for SMW using the Rabbit Controlled Natural Language (CNL). The resulting system demonstrates how CNL interfaces can be implemented on top of SMW. The proposed solution introduces no changes to the underlying functionality of the SMW system, and the use of semantic templates as an ontology verbalization solution means that end-users can exploit all the usual features of conventional wiki systems to collaboratively create new CNL verbalization capabilities.

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Section: Background: the Semantic Web Wikis And Controlled Natural Lmentioning

confidence: 99%

Section: Background: the Semantic Web Wikis And Controlled Natural Lmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Controlled Natural Language Interface for Semantic MediaWiki

Smart

Bao

Braines

et al. 2010

Lecture Notes in Computer Science

Self Cite

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“…In the case of the terrorist incident domain, for example, we see a number of differences in the way in which supposedly common domain-relevant conceptualizations are represented in ontologies (see [6] for one specific example).…”

Section: Information Integration and Interoperabilitymentioning

confidence: 99%

“…A CONSTRUCT query that represents the mapping between the EDTO ontology and a comparison ontology (called ITO), specifically with respect to the notion of a suicide bomb attack, is represented in Fig. 16 (see [6] for more information about this specific example). Based on this example, one could clearly imagine the future use of NITELIGHT as a tool for expressing ontology alignment information and effecting information exchange/transfer solutions via the execution of SPARQL CONSTRUCT queries.…”

Section: Information Integration and Interoperabilitymentioning

confidence: 99%

A Visual Approach to Semantic Query Design Using a Web-Based Graphical Query Designer

Smart

Russell

Braines

et al. 2008

Knowledge Engineering: Practice and Patterns

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Abstract. Query formulation is a key aspect of information retrieval, contributing to both the efficiency and usability of many semantic applications. A number of query languages, such as SPARQL, have been developed for the Semantic Web; however, there are, as yet, few tools to support end users with respect to the creation and editing of semantic queries. In this paper we introduce NITELIGHT, a Web-based graphical tool for semantic query construction that is based on the W3C SPARQL specification. NITELIGHT combines a number of features to support end-users with respect to the creation of SPARQL queries. These include a columnar ontology browser, an interactive graphical design surface, a SPARQL-compliant visual query language, a SPARQL syntax viewer and an integrated semantic query results browser. The functionality of each of these components is described in the current paper. In addition, we discuss the potential contribution of the NITELIGHT tool to rule creation/editing and semantic integration capabilities.

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Overview of YAM++—(not) Yet Another Matcher for ontology alignment task

Ngo

Bellahsène

2016

Journal of Web Semantics

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An Analysis of the Origin of Ontology Mismatches on the Semantic Web

Cited by 7 publications

References 16 publications

Development of a Controlled Natural Language Interface for Semantic MediaWiki

Development of a Controlled Natural Language Interface for Semantic MediaWiki

A Visual Approach to Semantic Query Design Using a Web-Based Graphical Query Designer

Overview of YAM++—(not) Yet Another Matcher for ontology alignment task

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