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SumOn – Adaptive summary of linked data entities

Name of the participant: Andreas Thalhammer

Description of the IT research project: The SumOn project was concerned with the development of a flexible system that enables automatic summaries of linked data entities. The focus was on resolving the classic type-related presentation of entities as well as the inclusion of various context factors. These factors included an orientation regarding importance (normal everyday thinking), the reference to current events and a language-oriented component. The SumOn system was implemented with various application and user interfaces, for example the “SUMMA API” and “ELES”, a demo application which interactively combines “Entity Linking” and “Entity Summarization”:

  1. Which data sources can best support the factors of importance, timeliness and language context with regard to entity summarization?
  2. Which algorithms and methods of machine learning are suitable for ranking facts about individual entities?
  3. How are entity summarization, visualization and navigation combined to make the best possible use of synergies?
  4. Which methods can be used to automatically merge entity related data from different knowledge bases on the net?

The results of the SumOn project led to three conference publications, two workshop publications and a demo presentation. Two of these works were awarded prizes, and another was nominated. In addition to the scientific publications, various data sets were also published. In particular, the data sets “Wikidata PageRank” and “DBpedia PageRank” were used in a variety of ways in further research work. A large part of the research results obtained from SumOn formed the core of the dissertation “Linked Data Entity Summarization”, which was completed in 2016.

Software Campus partners: Karlsruher Institut für Technologie, SAP SE

Implementation period: 01.03.2015 – 28.02.2017

Publications:

Andreas Thalhammer. 2016. Linked Data Entity Summarization. Phdthesis. KIT, Fakultät für Wirtschaftswissenschaften, Karlsruhe.

Andreas Thalhammer, Steffen Thoma, Andreas Harth, and Rudi Studer. Entity-centric Data Fusion on the Web. Proceedings of the 28th ACM Conference on Hypertext and Social Media, HT ‘17, pages 25-34. ACM, New York, NY, USA, 2017.
*ACM SIGWEB Ted Nelson Newcomer Award*

Andreas Thalhammer, Nelia Lasierra, and Achim Rettinger. LinkSUM: Using Link Analysis to Summarize Entity Data. In Web Engineering: 16th International Conference, ICWE 2016, Lugano, Switzerland, June 6-9, 2016. Proceedings, volume 9671 of Lecture Notes in Computer Science, pages 244–261. Springer International Publishing, Cham, 2016.

Andreas Thalhammer and Steffen Stadtmüller. SUMMA: A Common API for Linked Data Entity Summaries. In Engineering the Web in the Big Data Era, volume 9114 of Lecture Notes in Computer Science, pages 430–446. Springer International Publishing, Cham, 2015.
*Best Research Paper Nominee*

Andreas Thalhammer and Achim Rettinger. PageRank on Wikipedia: Towards General Importance Scores for Entities. In The Semantic Web: ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29 – June 2, 2016, Revised Selected Papers, pages 227–240. Springer International Publishing, Cham, October 2016.

Andreas Thalhammer and Achim Rettinger. ELES: Combining Entity Linking and Entity Summarization. In Web Engineering: 16th International Conference, ICWE 2016, Lugano, Switzerland, June 6-9, 2016. Proceedings, volume 9671 of Lecture Notes in Computer Science, pages 547–550. Springer International Publishing, Cham, 2016.
*Best Demo Award*

Weitere Informationen: https://entitysummarization.org

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