On the Use of Similarity or Query Languages in Cloud Discovery Based on Ontology
| Autor: | Rahma Ben Ayed, Rawand Guerfel, Zohra Sbaï |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Service (business)
020203 distributed computing Multidisciplinary Information retrieval General Computer Science Computer science business.industry Ontology-based data integration General Engineering Cloud computing 02 engineering and technology computer.file_format Ontology language Ontology (information science) Query language Query optimization General Business Management and Accounting 0202 electrical engineering electronic engineering information engineering SPARQL 020201 artificial intelligence & image processing business computer |
| Zdroj: | International Journal of Service Science, Management, Engineering, and Technology. 8:60-78 |
| ISSN: | 1947-9603 1947-959X |
| DOI: | 10.4018/ijssmet.2017070104 |
| Popis: | Cloud computing is increasingly used so that the number of providers offering services is rapidly increasing. Thus, a need to organize these services and to express relations between them arises. To answer this need, ontologies are used. To query these services, the authors use query languages, such as SPARQL, that return two types of results: either a list of required services, or an empty list. However, the second result is not desired. In fact, if the required service is not available, users want to be offered by a list of similar ones instead of the empty list. It is in this sense that the similarity, which provides more results ranked according to their utilities, is used. This paper first presents the Cloud ontology on which the authors' work is based. It then defines and compares between two Cloud service discovery methods which are: the discovery based on query languages and the discovery based on similarity. To show the efficiency of the search based on similarity, the authors propose a search engine that allows the users to query services using a simple to use interface. |
| Databáze: | OpenAIRE |
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