Using Ontologies in the Semantic Web: A Survey

Ding, Li; Kolari, Pranam; Ding, Zhongli; Avancha, Sasikanth

doi:10.1007/978-0-387-37022-4_4

Cited by 92 publications

(80 citation statements)

References 52 publications

(18 reference statements)

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“…The goal is to observe the effectiveness of our approach with respect to heavyweight ontology-based approaches. On this regards, lightweight approaches (e.g., WordNet-based) can be considered practical and less complex, but they may lack to effectively deal with domain-specific aspects [17]. For this experiment, we have used the available experimental results of the two ontology-based approaches.…”

Section: Experiments 2: Comparison With Other Wsdl Readability Metricsmentioning

confidence: 99%

“…The goal was to observe the effectiveness of our lightweight WordNet-based approach with regard to heavyweight ontology-based approaches. Lightweight approaches can be considered simplistic and practical while they may be less effective to deal with domainspecific aspects, regarding heavyweight approaches [17]. The comparison was performed using the available experimental results of the two ontology-based approaches.…”

Section: Introductionmentioning

confidence: 99%

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Lightweight Semantic based Approach to Assess Readability of Web Service Interfaces

Renzis¹,

Garriga²,

Flores³

et al. 2017

CLEIej

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A Web Service has an interface described in a machine-processable format (specifically WSDL). Service providers expose their services by publishing their WSDL documents. Service consumers can learn about service capabilities and how to interact with services. Service descriptions (WSDL documents) should be ideally understood easily by service stakeholders so that the process of consuming services is simplified. In this work we present a practical metric to quantify readability in WSDL documents. We adapted and extended an existing ontology-based semantic readability metric to focus on WSDL documents by using WordNet as a lightweight concept hierarchy. We have validated our approach by performing both qualitative and quantitative experiments. The first one consists of a controlled survey with a group of service consumers. The results showed that consumers (software engineers) required less time and effort to analyze WSDL documents with higher readability values. The second experiment compares our approach with two ontology-based approaches. The third experiment compares the readability values of a dataset of real-life service descriptions before and after rewriting them. The results showed the effectiveness of our approach to assess readability of Web Services interfaces.

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Section: Experiments 2: Comparison With Other Wsdl Readability Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lightweight Semantic based Approach to Assess Readability of Web Service Interfaces

Renzis¹,

Garriga²,

Flores³

et al. 2017

CLEIej

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“…OWL has three sublanguages: OWL Full, OWL DL and OWL Lite [14]. Existing Semantic Web ontology can be grouped into the following four major categories: metaontology, comprehensive, upper ontology, systematic domain specific ontology, and simple specialized ontology [15].…”

Section: Knowledge In the Expert Systemmentioning

confidence: 99%

Construction of Powerful Online Search Expert System Based on Semantic Web

Nada¹

2013

IJACSA

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Abstract-In this paper we intends to build an expert system based on semantic web for online search using XML, to help users to find the desired software, and read about its features and specifications. The expert system saves user's time and effort of web searching or buying software from available libraries. Building online search expert system is ideal for capturing support knowledge to produce interactive on-line systems that provide searching details, situation-specific advice exactly like setting a session with an expert. Any person can access this interactive system from his web browser and get some questions answer in addition to precise advice which was provided by an expert. The system can provide some troubleshooting diagnose, find the right products; … Etc.The proposed system further combines aspects of three research topics (Semantic Web, Expert System and XML). Semantic web Ontology will be considered as a set of directed graphs where each node represents an item and the edges denote a term which is related to another term. Organizations can now optimize their most valuable expert knowledge through powerful interactive Web-enabled knowledge automation expert system. Online sessions emulate a conversation with a human expert asking focused questions and producing customized recommendations and advice. Hence, the main powerful point of the proposed expert system is that the skills of any domain expert will be available to everyone.

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“…Typically, they use ontologies as a base for metadata representation and reasoning, mostly employing RDF/OWL W3C recommendations for representation [7] and deal with issues of ontology querying as a kind of information retrieval [12]. They define new ontologies either domain dependent [6,19] or domain independent [11] and work on tools for ontology specification and maintenance [1].…”

Section: Related Workmentioning

confidence: 99%

Intelligent Information Processing in Semantically Enriched Web

Návrat

Bieliková

Chudá

et al. 2009

Lecture Notes in Computer Science

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Abstract. Acquiring information from the Web is a demanding task and currently subject of a world-wide research. In this paper we focus on research of methods, and experience with development of software tools designed for retrieval, organization, presentation of information in heterogeneous data source spaces such as the Web. We see the Web as a unique evolving and unbounded information system. The presented concepts can be used also in other specific contexts of information systems in organizations that increasingly become worldwide and weaved together considering information processing.

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Using Ontologies in the Semantic Web: A Survey

Cited by 92 publications

References 52 publications

Lightweight Semantic based Approach to Assess Readability of Web Service Interfaces

Lightweight Semantic based Approach to Assess Readability of Web Service Interfaces

Construction of Powerful Online Search Expert System Based on Semantic Web

Intelligent Information Processing in Semantically Enriched Web

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