Geospatial Data Integration with Semantic Web Services: The eMerges Approach

Tanasescu, Vlad; Gugliotta, Alessio; Domingue, John; Villarías, Leticia Gutiérrez; Davies, Rob; Rowlatt, Mary; Richardson, Marc; Stincic, Sandra

doi:10.1007/978-1-84628-827-2_25

Cited by 15 publications

(11 citation statements)

References 10 publications

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“…In this paper we describe IRS-III (Internet Reasoning Service), a framework for creating and executing semantic Web services, which takes a semantic broker based approach to mediating between service requesters and service providers [Cabral et al, 2006;Domingue et al, 2004;Domingue et al, 2005a;Domingue et al, 2005b;Tanasescu et al 2007]. More specifically, we have extended the core epistemological framework of our previous IRS-II framework ] (see more details in Section 2) and incorporated the Web Services Modelling Ontology [WSMO, 2007;Fensel et al, 2006] conceptual model (see more details in Section 4) into the IRS-III framework.…”

Section: From An Information Technology Viewpoint the Two Important Fmentioning

confidence: 99%

“…Following a number of initial interviews with a variety of stakeholders holders in ECC it was decided to focus the scenario on the ECC Emergency Planning department, and more concretely to focus on emergencies which arise from extreme weather conditions. The Emergency Management System (EMS) application, called eMerges [Tanasescu et al 2007], is a decision support system which assists an Emergency Planning Officer (EPO), in gathering information related to an extreme weather emergency. As shown in the Figure 8, based upon the generic application framework introduced in the previous section, we developed an application architecture comprised of the following four layers.…”

Section: Application Scenario and Requirementsmentioning

confidence: 99%

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IRS-III: A broker-based approach to semantic Web services

Domingue

Cabral

Galizia

et al. 2008

Journal of Web Semantics

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________________________________________________________________________A factor limiting the take up of Web services is that all tasks associated with the creation of an application, for example, finding, composing, and resolving mismatches between Web services have to be carried out by a software developer. Semantic Web services is a combination of semantic Web and Web service technologies that promise to alleviate these problems. In this paper we describe IRS-III, a framework for creating and executing semantic Web services, which takes a semantic broker based approach to mediating between service requesters and service providers. We describe the overall approach and the components of IRS-III from an ontological and architectural viewpoint. We then illustrate our approach through an application in the eGovernment domain.

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Section: From An Information Technology Viewpoint the Two Important Fmentioning

confidence: 99%

Section: Application Scenario and Requirementsmentioning

confidence: 99%

IRS-III: A broker-based approach to semantic Web services

Domingue

Cabral

Galizia

et al. 2008

Journal of Web Semantics

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“…Knowledge about user goals represents a prerequisite for such applications to be effective. Another example, the work by Tanasescu et al [20], facilitates goaloriented navigation of information through goal-driven service invocation -enabled by the Web Services Modeling Ontology WSMO [16], which is a web service description format that introduces the concept of user goals as a first class construct. Purpose tags and purpose tag graphs might have the potential to provide the background knowledge needed for such goaloriented systems and applications.…”

Section: Relation To Related Workmentioning

confidence: 99%

Purpose tagging

Strohmaier

2008

Proceedings of the 2008 ACM Workshop on Search in Social Media

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The terms that are used by users during tagging have been found to be different from the terms that are used when searching for resources, which represents a fundamental problem for search in tagging based systems. To address this problem, we propose purpose tagging as a novel kind of tagging that focuses on capturing aspects of intent rather than content. By capturing the different purposes a given resource can serve, purpose tags appear useful to mediate between the vocabulary of user intent on one hand, and the vocabulary of contents and tags provided by social software applications on the other. The paper at hand makes the following contributions: 1) It extends the set of known kinds of tags with a novel type and 2) it provides first empirical evidence of the principle feasibility of purpose tagging and its potential to facilitate goal-oriented social search in an exploratory case study.

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“…The web service ontologies can also describe web services as compilations of a number of other child web services in the form of a workflow. A number of projects have demonstrated and tested these methods in the geospatial context, including SWING (Roman et al 2007) and eMerges (Tanasescu et al 2007). Matchmaking on the basis of web service ontologies usually involves comparison of the inputs, outputs, preconditions and postconditions, etc., and sometimes also constraints and relationships between concepts in the domain ontology (Schade et al 2004, Lemmens 2006).…”

Section: Related Workmentioning

confidence: 99%

Determining Semantic Similarity of Behaviour Using Natural Semantic Metalanguage to Match User Objectives to Available Web Services

Stock

2008

Transactions in GIS

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Natural Semantic Metalanguage specifies a set of semantic primitives identified by linguists since the 1970s as being present in all analysed languages and not capable of further reduction. In this article, the 63 semantic primitives are used to define the semantics of user objectives and web services in the form of semantic explications, which are then compared to determine whether the web services are likely to be helpful in meeting the user objective. The comparison of the user objectives and web services is a two stage process. Firstly, the content is compared by classifying the semantic primitives from the candidate web service and user objective on the basis of whether the primitives are common or similar. On the basis of these classifications, the percentage match and semantic relationship (subset, superset, overlaps, disjoint, identical) are determined. Secondly, the order of the semantic primitives is compared and the edit distance determined as a measure of semantic similarity. The method is tested using two examples: a comparison of spatial relations and a comparison of a user objective and three geospatial web services. The results show that the method is able to determine which concepts are broadly semantically similar and which are not.

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Geospatial Data Integration with Semantic Web Services: The eMerges Approach

Cited by 15 publications

References 10 publications

IRS-III: A broker-based approach to semantic Web services

IRS-III: A broker-based approach to semantic Web services

Purpose tagging

Determining Semantic Similarity of Behaviour Using Natural Semantic Metalanguage to Match User Objectives to Available Web Services

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