The After Sales Portal @ MAN Truck & Bus


This talk will present how we implement the search for the After Sales Portal (ASP) at MAN Truck & Bus. The Application is based on Intrafind’s iFinder, a Lucene Core search engine with plenty of add-ons such as morphological analysis, information extraction and text classification. In particular we will show that a Lucene-based search engine is able to deal with the architectural and design requirements of a Search-Based Application like the ASP at MAN Truck & Bus:

  • Scalability & Fault Tolerance
  • Design & Architecture of this Search-Based Application Portal
  • Multi-Source Information Access: pre-configured data integration with multiple repositories of information in various formats as according to the application domain.
  • Business Process and Regulations: The After Sales Portal at MAN Truck & Bus was initiated by the Regulation (EC) No 715/2007 of the European Parliament and of the Council of 20 June 2007. According to this regulation the manufacturers shall provide unrestricted and standardised access to vehicle repair and maintenance information like service handbooks, wiring diagrams, diagnostic trouble codes etc. to independent operators through websites using a standardised format in a readily accessible and prompt manner , and in a manner which is non-discriminatory compared to the provision given or access granted to authorised dealers and repairers.
  • Providing a state of the art user interface and interaction design that eliminates the need for the users to “pogo stick” or continually jump from one application to another. This eliminates the complexity of operating separate applications and enables the user to focus on the important tasks to be done.
  • In this session we would like to show you how a Truck goes online!

    About the speaker: 
    Edit Kiss has more than seven years of experience in the field of information retrieval and search. She started her second degree in computational linguistics with computer science and german linguistics as minors at the University of Munich, where she successfully graduated with a M. A honours. During her studies she spent a year at the Trinity College in Dublin, where she regularly participated at the computational linguistics search circle conferences. After completing her studies, she started her career as a consultant for Autonomy which is one of the global leaders in meaning based computing. She worked on completing several global projects which involves retrieving data from documents, emails, images and videos in different languages. Since 2011 she has been employed as a technical lead for search projects at MAN where she is currently working on the search solution for the after sales portal. ---------------------------------------------------------------------------------------------------------------------------- Galina Hinova is a Project Manager at IntraFind Software AG (, a German software manufacturer specialized on full-text search and text mining based on Lucene and Solr. Galina has extensive expertise in Search-Based Applications and enterprise search projects. In the last few years she has been working on both project management and architecture, design, and implementation of a numbers of sophisticated Search-Based Applications for online product shops, online portals, and enterprise search. In her projects she had the opportunity to get to know and to work with the search technologies iFinder - the Lucene-based enterprise search product of IntraFind Software AG, Lucene – the open source search engine of Apache Software Foundation, and FAST ESP – the former search engine of FAST, a Microsoft Subsidiary. For the After Sales Portals at MAN Truck & Bus she is the responsible project manager for search on the part of IntraFind Software AG. Galina has studied Computational Linguistics, Informatics & Economics at the University of Munich and also holds a M.A. degree in Linguistics from the Sofia University.

    Schedule info

    Time slot: 
    3 June 12:50 - 13:15