SWSData

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In order to make the best possible evaluation of our waso tools, we have collected as much data as possible and put into full_dataset.zip, which are basically from the Semantic Web Services Repository of the University College Dublin and XMethods. The full data set has the raw data of web services, consisting of 799 WSDL web service description in sum, where 366 web services have not been classified and the rest have been roughly divided by the editors into 26 major categories and 70 sub-categories. For example, the Business category has 23 web services in 3 sub-categories, such as adverts, charts, and customers.

Contents

Shipment Scenario

  • Description: The shipment scenario from the SWS Challenge was one of our use cases for the performance analysis of our wsao tools. The SWS Challenge is a widely recognized initiative for the demonstration and comparison of semantically enabled Web service discovery techniques based on real-world services. The original shipment scenario description defines five Web services for package shipment from USA to different destinations along with several examples of concrete client requests (as goal instances) for Web service discovery. The actual shipment price for a particular shipment is defined based on the dependency of the package weight and the constrains on the delivery time.
  • Data: This dataset includes that five Web services description, two ontologies, and then goal templates (which vary on either the location or the weight) specified in WSML-full language. It can be download by shipmentWS.zip

WSMO PA Web services

  • Description: our web service discovery work has been tested by the European funded project,SemanticGov Project, which is based on the real show cases. The SemanticGov project actually aims at building a semantic government system with the use of emerging Semantic Web Services technologies. The governmental public administration (PA) are modeled as WSMO-PA web services, further providing various applications ( e.g., discovering PA services) to citizens at the national and pan-European level. For examole, the showcase used by this work describes the change of residency in European, e.g., a Belgian citizen applies to move to Italy, say city Turin.
  • Data: In this dataset, we have collected six PA Web services together with their respective GEA ontologies. These six PA Web services has the similar function of changing residency with different constrains on citizenship or residential status (e.g., age, single/married). This data set contains quite complete service descriptions of non-functional and functional properties, and they are well defined in the WSML-DL by domain experts. This dataset can be download by wsmoPAws.zip

Travel Ontologies

  • Description: In order to test the performance of our ontoMerge tool, we took a set of travel-related ontolologies, which are mostly collected from the Web, such as DAML Ontology Library and Protege ontologies.
  • Data: This data set in all contains 23 travel related ontologies, four of which are particularly used to detailed analysis and comparison with the results of the other tool, e.g., the Protege merging plugin. Moreover, two of them are taken from iswc05 Tutorial, which are the ones invesgated for instructing the ontology merging tool. This dataset can be download by travelOnto.zip.

Zip Web services Dataset

  • Description: In order to be comparable, we have collected another data set, which is the same one as used by the related work.
  • Data: The data set in all contains 17 zip related web services, and it is a part of the full data set. It can be download by zipWS.zip



Acknowledgement

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