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Photo: Paderborn University, Adelheid Rutenburges

Stefan Heindorf, M.Sc.

 Stefan Heindorf, M.Sc.

Database and Information Systems

Wissenschaftlicher Mitarbeiter

+49 5251 60-6824
Fürstenallee 11
33102 Paderborn

10/2013 - today

Universität Paderborn

Wissenschaftlicher Mitarbeiter

04/2011 - 09/2013

Universität Paderborn

Informatik, Master of Science (M.Sc.)

10/2007 - 03/2011

Universität Paderborn

Informatik, Bachelor of Science (B.Sc.)

Open list in Research Information System


Debiasing Vandalism Detection Models at Wikidata

S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: Proceedings of the 2019 World Wide Web Conference (WWW '19), ACM, 2019


Semantic Data Mediator: Linking Services to Websites

D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: Service-Oriented Computing -- ICSOC 2017 Workshops, Springer International Publishing, 2018, pp. 388-392

Many websites offer links to social media sites for convenient content sharing. Unfortunately, those sharing capabilities are quite restricted and it is seldom possible to share content with other services, like those provided by a user's favorite applications or smart devices. In this paper, we present Semantic Data Mediator (SDM) --- a flexible middleware linking a vast number of services to millions of websites. Based on reusable repositories of service descriptions defined by the crowd, users can easily fill a personal registry with their favorite services, which can then be linked to websites by SDM. For this, SDM leverages semantic data, which is already available on millions of websites due to search engine optimization. Further support for our approach from website or service developers is not required. To enable the use of a broad range of services, data conversion services are automatically composed by SDM to transform data according to the needs of the different services. In addition to linking web services, various service adapters allow services of applications and smart devices to be linked as well. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness.


Linking Services to Websites by Leveraging Semantic Data

D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: 2017 IEEE International Conference on Web Services (ICWS), IEEE, 2017

Websites increasingly embed semantic data for search engine optimization. The most common ontology for semantic data,, is supported by all major search engines and describes over 500 data types, including calendar events, recipes, products, and TV shows. As of today, users wishing to pass this data to their favorite applications, e.g., their calendars, cookbooks, price comparison applications or even smart devices such as TV receivers, rely on cumbersome and error-prone workarounds such as reentering the data or a series of copy and paste operations. In this paper, we present Semantic Data Mediator (SDM), an approach that allows the easy transfer of semantic data to a multitude of services, ranging from web services to applications installed on different devices. SDM extracts semantic data from the currently displayed web page on the client-side, offers suitable services to the user, and by the press of a button, forwards this data to the desired service while doing all the necessary data conversion and service interface adaptation in between. To realize this, we built a reusable repository of service descriptions, data converters, and service adapters, which can be extended by the crowd. Our approach for linking services to websites relies solely on semantic data and does not require any additional support by either website or service developers. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness.

WSDM Cup 2017: Vandalism Detection and Triple Scoring

S. Heindorf, M. Potthast, H. Bast, B. Buchhold, E. Haussmann, in: WSDM, ACM, 2017, pp. 827-828

Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017

S. Heindorf, M. Potthast, G. Engels, B. Stein, in: WSDM Cup 2017 Notebook Papers, 2017


Vandalism Detection in Wikidata

S. Heindorf, M. Potthast, B. Stein, G. Engels, in: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, ACM Press, 2016


Towards Vandalism Detection in Knowledge Bases

S. Heindorf, M. Potthast, B. Stein, G. Engels, in: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15, ACM Press, 2015


Optimized XPath evaluation for Schema-compressed XML data

S. Böttcher, R. Hartel, S. Heindorf, in: ADC, Australian Computer Society, 2012, pp. 137-144

Open list in Research Information System

The University for the Information Society