Publications

Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
Alexander Gerling, Holger Ziekow, Andreas Heß, Ulf Schreier, Christian Seiffer, Djaffar Ould-Abdeslam
Journal of Intelligent Manufacturing volume 33, pages 555–573 (2022)

Results from using an AutoML Tool for Error Analysis in Manufacturing
Alexander Gerling, Oliver Kamper, Christian Seiffer, Holger Ziekow, Ulf Schreier, Andreas Heß, Djaffar Ould-Abdeslam
Proceedings of the 24th International Conference on Enterprise Information Systems (ICEIS 2022) : Volume 1
CC BY-NC-ND 4.0

Evaluation of Visualization Concepts for Explainable Machine Learning Methods in the Context of Manufacturing
Alexander Gerling, Christian Seiffer, Holger Ziekow, Ulf Schreier, Andreas Heß, Djaffar Ould-Abdeslam
Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - CHIRA, 28-29 October 2021
CC BY-NC-ND 4.0

Evaluation of Filter Methods for Feature Selection by Using Real Manufacturing Data
Alexander Gerling, Holger Ziekow, Ulf Schreier, Christian Seiffer, Andreas Heß, Djaffar Ould-Abdeslam
Data Analytics 2021 : The Tenth International Conference on Data Analytics, October 3 - 7, 2021, Barcelona, Spain

CONTENTUS - towards semantic multi-media libraries
Jan Nandzik, Andreas Heß, Jan Hannemann, Nicolas Flores-Herr, Klaus Bossert
World Library and Information Congress: 76th IFLA General Conference and Assembly, Gothenburg, Sweden, August 10-15, 2010.
Catalog entry: German National Library
Full paper
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Abstract:
The ever-growing amount of content and knowledge published online makes it possible for libraries to complement their own data and to present their collections in novel ways. Conceptually related information can be semantically linked so that users may benefit from richer data collections and novel search possibilities. This paper presents potential solutions for integrating heterogeneous data sources and providing innovative semantic search approaches, as developed for libraries and multimedia archives within the CONTENTUS project.

Stealing Anchors to Link the Wiki
Philipp Dopichaj, Andre Skusa, Andreas Heß
Advances in Focused Retrieval, 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers
© Springer Verlag, Lecture Notes in Computer Science

Der Markt für Internet-Suchmaschinen
Christian Maaß, Andre Skusa, Andreas Heß, Gotthard Pietsch
In: Handbuch Internet-Suchmaschinen, Dirk Lewandowski (Hrsg.), AKA Verlag Heidelberg
Catalog entry: German National Library

Multi-Value Classification of Very Short Texts
Andreas Heß, Philipp Dopichaj, Christian Maaß
31st Annual German Conference on Artificial Intelligence (KI 2008), Kaiserslautern, Germany
© Springer Verlag, Lecture Notes in Computer Science

Abstract:
We introduce a new stacking-like approach for multi-value classification. We apply this classification scheme using Naive Bayes and Rocchio classifiers on the well-known Reuters dataset. We use part-of-speech tagging for stopword removal. Our setup performs as well as other approaches using full article text. Finally, we apply a Rocchio classifier on a Web 2.0 dataset suitable for semi-automated labelling of short texts.

Playful Validation of Automatically Extracted Data
Francis Dierick, Philipp Dopichaj, Uwe Fleischer, Andreas Heß, Andre Skusa, Christian Maaß
Workshop Nutzerinteraktion im Social Semantic Web bei der Tagung Mensch & Computer, Lübeck, Germany

From Web 2.0 to Semantic Web: A Semi-Automated Approach
Andreas Heß, Christian Maaß, Francis Dierick
ESWC 2008 Workshop on Collective Semantics: Collective Intelligence and the Semantic Web (CISWeb 2008), Tenerife, Spain
Full Paper:
Presentation slides

Abstract:
Web 2.0 and the Semantic Web are complementary paradigms. We propose five approaches to merge them, improve annotation quality via (semi-)automated tagging, and enhance tag quality using duplicate detection techniques. Verified on a large-scale dataset from Lycos iQ.

Alternative Searching Services: Seven Theses on the Importance of Social Bookmarking
Gernot Gräfe, Christian Maaß, Andreas Heß
Software, Agents and Services for Business, Research and E-Sciences — Conference on Social Semantic Web (SABRE/CSSW 2007), Leipzig, Germany

Abstract:
Social bookmarking systems complement algorithmic search engines. We develop seven theses on their potential for future research.

An Iterative Algorithm for Ontology Mapping Capable of Using Training Data
Andreas Heß
3rd European Semantic Web Conference (ESWC 2006), Budva, Montenegro
© Springer Verlag, Lecture Notes in Computer Science

Abstract:
New iterative ontology mapping algorithm combining string distance metrics and structural similarity. Uses existing mappings as training data for improved accuracy.

Supervised and Unsupervised Ensemble Learning for the Semantic Web
Andreas Heß
PhD Thesis, University College Dublin, School of Computer Science and Informatics
Catalog entry: German National Library Advisor: Nicholas Kushmerick

Abstract:
Web content is machine-readable but not machine-understandable. This thesis develops tools using supervised and unsupervised machine learning to enable Semantic Web understanding.

The Dublin Algorithm for Ontology Alignment
Andreas Heß
Chapter in Stuckenschmidt et al., Knowledge Web Network of Excellence, Deliverable D2.2.4, pages 7–10

Ensembles of Biased Classifiers
Rinat Khoussainov, Andreas Heß, Nicholas Kushmerick
The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany

Abstract:
Introduces Triskel, an ensemble learning algorithm with biased classifiers and nested ROC spaces. Often outperforms boosting in accuracy and training time.

Ensemble Learning with Biased Classifiers: The Triskel Algorithm
Andreas Heß, Rinat Khoussainov, Nicholas Kushmerick
6th International Workshop on Multiple Classifier Systems (MCS 2005), Monterey Bay, California, USA
© Springer Verlag, Lecture Notes in Computer Science

Machine Learning Techniques for Annotating Semantic Web Services
Andreas Heß, Eddie Johnston, Nicholas Kushmerick
Dagstuhl Seminar on Machine Learning for the Semantic Web

ASSAM: A Tool for Semi-Automatically Annotating Semantic Web Services
Andreas Heß, Eddie Johnston, Nicholas Kushmerick
3rd International Semantic Web Conference (ISWC2004), Hiroshima, Japan
© Springer Verlag, Lecture Notes in Computer Science
Full Paper
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Demo
Poster

Abstract:
ASSAM helps create semantic metadata for Web Services using two machine learning algorithms: iterative relational classification and schema mapping.

Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services
Andreas Heß, Nicholas Kushmerick
15th European Conference on Machine Learning (ECML2004), Pisa, Italy
Full Paper
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Abstract:
Uses iterative classification to feed predicted labels back into relational data, showing extensions for intrinsic and extrinsic attributes. Applied to semi-automated Web Service annotation.

Semi-Automatically Annotating Semantic Web Services
Andreas Heß, Eddie Johnston, Nicholas Kushmerick
Workshop on Information Integration on the Web (IIWeb2004), held with 30th VLDB2004, Toronto, Canada

Machine Learning for Annotating Semantic Web Services
Andreas Heß, Nicholas Kushmerick
AAAI Spring Symposium Semantic Web Services 2004, Stanford, California, USA
Full Paper
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Learning to Attach Semantic Metadata to Web Services
Andreas Heß, Nicholas Kushmerick
2nd International Semantic Web Conference (ISWC2003), Sanibel Island, Florida, USA
© Springer Verlag, Lecture Notes in Computer Science
Full Paper
Presentation slides

Abstract:
Uses machine learning to semi-automatically generate semantic metadata for Web Services. Includes Bayesian learning and SVM classifiers, and clustering for discovering semantic categories.

Automatically Attaching Semantic Metadata to Web Services
Andreas Heß, Nicholas Kushmerick
Workshop on Information Integration on the Web (IIWeb2003), 18th IJCAI2003, Acapulco, Mexico