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Finished Reference Project

Project:

Aletheia - Semantic Federation of Comprehensive Product Information

  • internet information retrieval
  • federated search
  • web information extraction
  • resource selection
  • meta-data based information management

Overview:

In all areas of the product life cycle, significant product-specific data are created. Not only conventional sources of such information, but also internet forums, blogs, wikis, e-mail and electronic documents have to be considered. Existing product life cycle management systems do not incorporate such information sources and focus the development, production and sales life cycle. Yet they disregard the upstream stages customer requirement analysis and product portfolio management, as well as the successive operation, maintenance and recycling stages. The goal of Aletheia is to develop an overall system support architecture for such product information management. In particular, semantic techniques, highly distributed data management, and seamless internet integration are crucial issues. Based on the lifecyle- and delivery-chain-spanning management, a new dimension of global product database is created. This is of extreme value for consumers, service providers, and producers. The particular domain of TU Dresden is the design and implementation of the global system architecture. Major partners include SAP, BMW, ABB and Otto. The project is funded by BMBF and runs from March 2008 until June 2011.
Besides taking part of the development of the integrated prototype for the use cases ABB, BMW and SAP, TU Dresden develops the Fedseeko prototype for as a showcase for further innovative applications to be realized using the idea of semantic federation of product information. Fedseeko is a Ruby-on-Rails-based Web application offering the consumer a central point of truth for retrieving product information. Fedseeko aims at creating an all-embracing view on the product of desire using product information from all three mentioned information source types. Different technologies being located in the backend like Web services, information extraction (especially Web scraping), natural language processing, ontology matching or ontology learning are used for retrieving and preprocessing the information. The frontend is designed using technologies like AJAX, Javascript frameworks and RHTML. The application is based on JRuby and thus offers the possibility to include Java classes. Eventually, browser plugins are employed for displacing extraction tasks on the clients’ side.

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Project promotion:

Bundesministerium für Bildung und Forschung
01|A08001F


Project leader:

Prof. Dr. rer. nat. habil. Dr. h. c. Alexander Schill


Project staff:

Dipl.-Inf. Sandro Reichert
Dr.-Ing. Daniel Schuster
Dipl.-Medieninf. David Urbansky
Dipl.-Medien-Inf. Maximilian Walther
Dipl.-Medien-Inf. Matthias Wauer


Resources:


Recent publications:

    1. Steffen Kunz, Benjamin Fabian, Markus Aleksy, Matthias Wauer, Daniel Schuster:
    Improving Industrial Service Lifecycle Management by Semantic Data Federations;
    Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions; Mohammad Ayoub Khan, Abdul Quaiyum Ansari; IGI Global; 2012

    2. Matthias Wauer:
    Integration and Relevance Assessment of Product Information Sources;
    Technische Universität Dresden; 2012

    3. Matthias Wauer, Johannes Meinecke, Daniel Schuster, Andreas Konzag, Markus Aleksy, Till Riedel:
    Semantic Federation of Product Information from Structured and Unstructured Sources;
    International Journal of Business Data Communications and Networking (IJBDCN); 7(2); 69-97; 2011

    4. Christian Knauer, David Urbansky, Johannes Meinecke, Daniel Schuster, Philipp Katz, Alexander Schill:
    Semi-Automatic Semantic Lifting of XML to a Target Ontology;
    The Joint International Symposium on Natural Language Processing and Agriculture Ontology Service (SNLP-AOS); Bangkok, Thailand; 2011

    5. Matthias Wauer, Daniel Schuster, Alexander Schill:
    Advanced Resource Selection for Federated Enterprise Search;
    Business Information Systems Workshops - BIS 2011 International Workshops and BPSC International Conference, Poznan, Poland, June 15-17, 2011. Revised Papers; 154-159; Springer; Witold Abramowicz and Leszek A. Maciaszek and Krzysztof Wecel; Lecture Notes in Business Information Processing; Poznan; 2011

    6. Matthias Wauer, Daniel Schuster, Alexander Schill:
    Integrating Explicit Semantic Analysis for Ontology-based Resource Selection;
    13th International Conference on Information Integration and Web-based Applications & Services (iiWAS2011); Ho Chi Minh City, Vietnam; 2011

    7. Maximilian Walther, Niels Jäckel, Daniel Schuster, Alexander Schill:
    Enabling Product Comparisons on Unstructured Information Using Ontology Matching;
    7th Atlantic Web Intelligence Conference (AWIC 2011); Fribourg, Switzerland; 2011

    8. Maximilian Walther:
    Federated Product Information Search and Semantic Product Comparisons on the Web;
    Dissertation, TU Dresden; 2011

    9. Daniel Schuster, Matthias Wauer, Johannes Meinecke, Alexander Schill:
    Semantic Computing und Informationsextraktion als Schlüsseltechnologien für das Produktinformationssytem der Zukunft;
    Text- und Data Mining für die Qualitätsanalyse in der Automobilindustrie (QAA); Leipzig, Germany; 2010

    10. Daniel Schuster, Till Juchheim, Alexander Schill:
    Finding and Classifying Product Relationships Using Information from the Public Web;
    12th International Conference on Enterprise Information Systems (ICEIS); Funchal, Madeira, Portugal; 2010

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