Friday, 18 December 2009 11:07
The Service-Finder project started in January 2008 and successfully ended in December 2009.

The main aims of this project were:

  • Create a Semantic Search Engine for Web Services
    • Aggregates information from heterogeneous sources: WSDL, wikis, blogs and also users’ feedbacks and behaviour
  • Create a Web Service Crawler to identify Web Services and their relevant information
  • Automatically generate Semantic Service Descriptions by analyzing heterogeneous sources
  • Allow efficient and effective search of collected and generated data
  • Provide a Web 2.0 portal
    • To support users in searching and browsing for Web Services
    • To give recommendations to users
    • To track user behaviour for improving accuracy of service search and user recommendations

The Service-Finder Beta release is online at: http://demo.service-finder.eu

 

After a two-year period, we proudly announce our achievements:

  • We assessed requirements with the user group and we targeted the development accordingly
  • We capitalized on Web 2.0 approach (i.e., data flow back from the portal to the automatic annotator)
    • Service categorization was improved by applying ML to user tags
    • Access to related services was enhanced by integrating an innovative recommendation engine
  • We can pulse the Web of Services
    • Only in the last year
      • 20% of the endpoints in our repository were discontinued and
      • 23% of the endpoints in our repository were found
  • We proudly announced that
    • We maintain the largest and most updated Web Service repository
    • We offer one of the first large RDFa enhanced portal
    • We support Open-Search
    • We provide UDDI Inquiry interface and UDDI crawler
  • All components and Service-Finder as a whole were evaluated
  • Exploitation of results while project running
    • In 2009 ontoprise optimized OntoBroker based on the feedbacks gained in Service Finder
    • CEFRIEL enhanced its training material for Web as a platform seminar and Web Evolution course
    • Seekda developed the product line on focus crawling
    • USFD enhanced batch processing for handling large dataset in GATE

 

The expected impact of Service-Finder does not end here:

  • Service-Finder can bring service discovery to everybody
    • Publishers increase their productivity, by being able to provide complex services without the need to register them explicitly.
    • Creators become able to design more communicative forms of content by integrating third party services.
    • Creators become able to design more communicative forms of content by integrating third party services.
  • Service-Finder can also be applied within organizations
    • Number of Services increases in organizations
    • As within internet repositories in big companies can be quickly outdated
    • IT Managers like minimally invasive technology