ASSAM: A Tool for Semi-automatically Annotating Semantic Web Services

Heß, Andreas; Johnston, Eddie; Kushmerick, Nicholas

doi:10.1007/978-3-540-30475-3_23

Cited by 116 publications

(96 citation statements)

References 9 publications

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“…Transformation is carried out by annotating the WSDL element with the concept (class) in ontology. HeB et al (2008), in ASSAM tool are generated to do this annotation process. Web service developers do not sense in terms of ontology's but rather in terms of their programming language.…”

Section: Related Workmentioning

confidence: 99%

Selection of Ontology for Web Service Description Language to Ontology Web Language Conversion

Mannan¹,

Sundarambal²,

Raghul³

2014

Journal of Computer Science

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Semantic web is to extend the current human readable web to encoding some of the semantic of resources in a machine processing form. As a Semantic web component, Semantic Web Services (SWS) uses a mark-up that makes the data into detailed and sophisticated machine readable way. One such language is Ontology Web Language (OWL). Existing conventional web service annotation can be changed to semantic web service by mapping Web Service Description Language (WSDL) with the semantic annotation of OWL-S. In this conversion of WSDL to OWL process, the ontology plays a vital role. Ontology can be stored and retrieved from local repository and selecting the appropriate ontology is a complicated process and this can be achieved by Ontology Searching and Property Matching (OSPM) engine. Ontology is stored in the local repository as ontology document and exact matching of ontology for the requested query can be searched using semantic similarity ranking method. High ranked classes of ontology will undergo property matching; here requested concept will be matched with the resulting property. OSPM engine act as the backbone for selecting an exact ontology and reduce the conflict that occurs while selecting the ontology for annotation purpose.

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Section: Related Workmentioning

confidence: 99%

Selection of Ontology for Web Service Description Language to Ontology Web Language Conversion

Mannan¹,

Sundarambal²,

Raghul³

2014

Journal of Computer Science

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“…Besides the WSDL2OWL-S converter included in CODE, we can also mention Assam (Automated Semantic Service Annotation with Machine learning) [31], which assists the user to semantically annotate legacy WSDL services. The tool uses a combination of different machine learning techniques such as iterative relational classification and ensemble learning to semi-automate the annotation process.…”

Section: Tools and Extensionsmentioning

confidence: 99%

Bringing Semantics to Web Services with OWL-S

Burstein²,

et al. 2007

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Current industry standards for describing Web Services focus on ensuring interoperability across diverse platforms, but do not provide a good foundation for automating the use of Web Services. Representational techniques being developed for the Semantic Web can be used to augment these standards. The resulting Web Service specifications enable the development of software programs that can interpret descriptions World Wide

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“…This data-set 3 , which was gathered by Hess et al [21], has been selected because it is an snapshot of publicly available Web Service on Internet. Once each heuristic was fed with the data-set and its results computed, we built the confusion matrixes.…”

Section: Experimental Evaluationmentioning

confidence: 99%