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shut down permanently since 2006. Moreover, keyword-based service discovery is insufficient in coping with complex discovery requirements posed by modern software developers. In this paper, we propose an empirical semantic- based Web service discovery approach. It provides an automatic Web service discovery mechanism that
can differ widely in their functionality. Current (keyword-based) approaches to service discovery are inherently restricted by the ambiguities of natural language, which can lead to low precision and/or recall. In order to overcome this limitation, WSMO is chosen as the description framework of service, and a semantic
presented. Extensible experiment results demonstrate that annotated web services by our proposed method can more satisfy requirements of service requesters than keyword-based described web services. It can achieve higher service discovery effectiveness.
well define these conceptions and the relationship between these conceptions. In this way, errors and failures generated due to misunderstanding the conceptions are reduced, function-based services are much easier to be discovered and combined, and in the meantime, the deficiency in keyword-based search technology of UDDI
sending a simple keyword query to the hotspot (BlueInfo Pull). The BlueInfo hotspot requests the service from the origin server in the Internet and relays the response to the mobile device, possibly after adaptation for mobile viewing. The usability of BlueInfo Pull in comparison to a mobile phone browser is demonstrated
application. We believe that context-sensitive service discovery is the key success factor for mobile applications and could have the same impact and level of success as search engines on desktop computers. Keyword-based searches using typical search engines or portals for browsing services with a mobile device often do not
services dispersed on the web. We currently use UDDI, a distributed registry system for Web services, to find services. However, UDDI only supports exact keyword match and category based query towards UDDI data entries representing each Web service, so it is hard to get a ranked query result and alternate services which are
Cloud computing is making it possible to separate the process of building an infrastructure for service provisioning from the business of providing end user services. Today, such infrastructures are normally provided in large data centres and the applications are executed remotely from the users. One reason for this is that cloud computing requires a reasonably stable infrastructure and networking...
When Web services are misused, investigators must navigate through a collection of logs to recreate an attack. The proposed Forensic Web Services could help by securely maintaining transactional records between Web services.
The Internet is the largest information repository. Most information retrieval systems are based on the premise that users know the keywords for searching subjects. Web services provide a suitable technical framework for making business processes accessible within enterprises and across enterprises, so that they have
user's request, the user has to construct the request using the keywords that best describe the user's objective and match correctly with the Web Service name or location. Clustering Web services based on function similarities would greatly boost the ability of Web services search engines to retrieve the most relevant Web
components, assembling programs etc., but also imports ontology repository and user interest model. In order to implement program mining, we propose a component repository model based on ontology. Meanwhile, a new and efficient search mechanism is put forward which combines the search mechanism of facet, keywords, ontology and
To discovery Web services in Internet, many approaches have been proposed such as UDDI and DWS. The problem of those methods is that they are just a kind of simple syntax match based on keywords. They make the match inflexible, sometimes even unfaithful. This paper proposes a new algorithm to discover web services
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