Semantic web services: Standards, applications, challenges and solutions

Nacer, Hassina; Aı̈ssani, Djamil

doi:10.1016/j.jnca.2014.04.015

Cited by 54 publications

(18 citation statements)

References 73 publications

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“…Semantic description of Web services first targets interoperability [8]. Relying on semantics also has a positive impact on the quality of the composition [9], in particular when Quality of Service (QoS) attributes are considered [10], [11].…”

Section: A For Whom and Why Describing A Service?mentioning

confidence: 99%

Automated user-oriented description of emerging composite ambient applications

Koussaifi¹,

Trouilhet²,

Arcangeli³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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Ambient environments consist of components surrounding the user and offering services. Applications can here be composed opportunistically and automatically by an intelligent system that puts together available components. Thus, applications that are a priori unknown emerge from the environment. The problem is in the intelligible presentation to an average user of those emerging composite applications. Our approach consists in automatic generation of user-oriented application descriptions from unit descriptions of each component and service. For that, we propose a well-defined language for component description and a method for combining descriptions. A prototype has been developed and used to experiment the generation of different composite application descriptions. Based on these experiments, we assess the degree of fulfillment of the requirements we have identified for the problem.

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Section: A For Whom and Why Describing A Service?mentioning

confidence: 99%

Automated user-oriented description of emerging composite ambient applications

Koussaifi¹,

Trouilhet²,

Arcangeli³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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“…First, following the ontology-merging approach, ontologies used by attribute providers are merged to a new ontology that is supported by the relying party. Nacer [1] discusses ontology-merging solutions in more detail. Second, following the ontology-alignment approach, the aligning entity creates an alignment describing the relation between different ontologies.…”

Section: Ontology-alignment Solutionsmentioning

confidence: 99%

Employing Ontology-Alignment and Locality-Sensitive Hashing to Improve Attribute Interoperability in Federated eID Systems

Filho

Ribeiro

Zefferer

2016

J. Complex Syst. Inform. Model. Q.

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Abstract. Achieving interoperability, i.e. creating identity federations between different Electronic identities (eID) systems, has gained relevance throughout the past years. A serious problem of identity federations is the missing harmonization between various attribute providers (APs). In closed eID systems, ontologies allow a higher degree of automation in the process of aligning and aggregating attributes from different APs. This approach does not work for identity federations, as each eID system uses its own ontology to represent its attributes. Furthermore, providing attributes to intermediate entities required to align and aggregate attributes potentially violates privacy rules. To tackle these problems, we propose the use of combined ontology-alignment (OA) approaches and locality-sensitive hashing (LSH) functions. We assess existing implementations of these concepts defining and using criteria that are special for identity federations. Obtained results confirm that proper implementations of these concepts exist and that they can be used to achieve interoperability between eID systems on attribute level. A prototype is implemented showing that combining the two assessment winners (AlignAPI for ontology-alignment and Nilsimsa for LSH functions) achieves interoperability between eID systems. In addition, the improvement obtained in the alignment process by combining the two assessment winners does not impact negatively the privacy of the user's data, since no clear-text data is exchanged in the alignment process.

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“…An ontology is a set of data elements within a domain that are linked together to denote the types, proper-ties and relationships between them (Beydoun et al, 2014). Ontologies contribute to resolve semantic heterogeneity by providing a shared comprehension of a given domain of interest (Nacer and Aissani, 2014). In knowing the relationships that exist between data, search can be expanded to incorporate relationships that exist between the data as well as traditional string matching.…”

Section: The Semantic Web (Web 30)mentioning

confidence: 99%

CIAO-WPS - Automatic and Intelligent Orchestration of Geospatial Web Services using Semantic Web (Web 3.0) Technologies

Tan

West

McMeekin

et al. 2016

Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management

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Current geospatial datasets and web services are disparate, obscure and difficult to expose to the world. With the advent of geospatial processes utilizing temporal data and big data, along with datasets continually increasing in size, the problem of underexposed datasets and web services is amplified. Current text search capabilities do not sufficiently expose web services and datasets for use in on-the-fly geospatial use cases. End users are required to know the exact location of these online resources, their format and what they do. For example, to locate an OGC (Open Geospatial Consortium-http://www.opengeospatial.org)-compliant WPS (Web Processing Service) that performs flood modelling, a Google Search for "Flood Modelling WPS" is insufficient to find relevant results. This paper proposes the integration of semantic web concepts and technologies into geospatial datasets and web services, making it possible to link these datasets and services via functionality, the inputs required and the outputs produced. To do so requires the extensive use of metadata to allow for a standardised form of description of their function. There are already ISO (International Organization for Standardization-www.iso.org) standards in place (ISO 19115-1:2014) that specify the schema required for describing geographic information and services. The use of ontologies and AI (Artificial Intelligence) then allows for the intelligent determination of which web services and datasets to use, and in what order they are to be used to achieve the desired final output. This research aims to provide a method to automatically and intelligently chain together web services and datasets to assist in a geospatial analyst's productivity. A simple prototype termed CIAO-WPS (Chet's Intelligent, Automatically-Orchestrated Web Processing Services) is created as a proof of concept, using the Python programming language. The prototype seeks to reinforce ideas in regards to pathing and cost constraints, as well as explore overlooked designs.

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Semantic web services: Standards, applications, challenges and solutions

Cited by 54 publications

References 73 publications

Automated user-oriented description of emerging composite ambient applications

Automated user-oriented description of emerging composite ambient applications

Employing Ontology-Alignment and Locality-Sensitive Hashing to Improve Attribute Interoperability in Federated eID Systems

CIAO-WPS - Automatic and Intelligent Orchestration of Geospatial Web Services using Semantic Web (Web 3.0) Technologies

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