Information Service Engineering

• Automatic analyses (text and multi-media) with special emphasis on high efficiency and result quality. Besides fundamental new approaches, a combination of already existing methods (e.g., linguistic methods) are persued for text mining as well as for machine learning based classification of images and videos.
• Semantic analyses based on the results of raw data analysis in combination with existing metadata in order to sustainably index and automatically re-use document content, with a focus on accuracy and fault tolerance. This encompasses the following relevant sub-disciplines: Integration of heterogeneous meta data and content indexing via Named Entity Recognition, Named Entity Linking and Common Entity Linking
• Efficient semantic annotation of multi-media documents dependent on the document modality with automated user assistance (semi-automated annotation) as well as context-sensitive visualization and re-use of user generated annotations.
• Synchronization and integration of distributed heterogeneous knowledge bases with respect to provenance, reliability, diversity, multilingualism, and topicality (real-time).
• Semantic search, i.e., based on the results achieved via semantic analysis or after semantic annotation, the obtained semantic information is used to improve the retrieval process with respect to the completeness and accuracy of the search results.
• Explorative search and intelligent recommendation systems. There is a smooth transition from semantic search to explorative search and recommendation systems. While with semantic search results are generated based on semantic similarity, explorative search considers furtherrelationships among documents and their meaningful content elements.

An overview of the research activities of Information Service Engineering can be found as a Massive Open Online Course (MOOC):
MOOC on Information Service Engineering 

FIZ ISE@Mastodon

FIZ ISE@Fediverse

FIZ ISE@Twitter

• 2020 – 2021, Archivportal-D Sachthematische Zugänge (Folgeprojekt), Deutsche Forschungsgemeinschaft, DFG
• 2019 – 2021, NanoS-QM, Bundesministerium für Bildung und Forschung (BMBF
• 2018 – 2020, Archivportal-D: Sachthematische Zugänge, Deutsche Forschungsgemeinschaft (DFG)
• 2019 – 2020, Time Machine: Big Data of the Past for the Future of Europe, EU Horizon 2020 (FET Flagships)
• 2018, SlideWiki EU Project – EU ICT-20-2015, EU Horizon 2020

2023

31.01.2023
Harald Sack member of the Advisory Board of the TRIFECTA, EU ERC Consolidator Grant project.

19.01.2023
Prof. Sack gave a Keynote at EGC2023 (Conférence Extraction et Gestion des Connaissances (EGC) 2023 - Sciencesconf.org): „Symbolic and Subsymbolic AI - an Epic Dilemma?“

2022

15.12.2022-16.12.2022
ISE organises a workshop in Karlsruhe together with members of the MatWerk Task Area Ontologies for Material Sciences with the aim of adjusting the NFDI4Culture core ontology for the needs of NFDI-MatWerk  and to fill it with data.

02.12.2022
Harald Sack gives a talk with the title „Symbolic and Subsymbolic AI - an Epic Dilemma!“ at the Conference Cultures of Artificial Intelligence in the Baden State Museum.

25.11.2022
ISE organises a NFDI4Culture workshop with the aim of integrating the Knowledge Graph further into the NFDI4Culture Webportal together with members of the Academy of Sciences and Literature Mainz.

24.11.2022
Russa Biswas verteidigt erfolgreich ihre Dissertation zum Thema „Embedding Based Link Prediction for Knowledge Graph Completion“.

03.11.2022
Jörg Waitelonis gives a talk about the sphere of activity Semantic Interoperability at the PMD plenary meeting. 

01.11.2022
Harald Sack becomes member of the Semantic Web Science Association (SWSA).

24.10.2022
ISE organises the 4. Internationalen Workshop on Deep Learning for Knowledge Graphs 2022 at the 21st International Semantic Web Conference (ISWC2022).

23.09.2022
Cristian Santini presents his talk entitled "Knowledge Extraction for Art History: the Case of Vasari's The Lives of the Artists" at the 3rd Conference on Digital Curation Technologies (Qurator2022).

13.09.2022
Harald Sack presents his talk „Social and Technical Biases in Knowledge Graphs“ within the framework of the Dagstuhl Seminar „Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century“, Schloss Dagstuhl.

08.07.2022
Harald Sack gives the dinner speech at the Gala Dinner of the International Semantic Web Research Summer School 2022 (ISWS2022) entitled: "How to give a memorable Scientific Presentation".

03.07.2022-09.07.2022
The International Semantic Web Research Summer School 2022 (ISWS2022) takes place under the direction of Harald Sack and Valentina Presutti.

24.06.2022
Oleksandra Bruns, Etienne Posthumus and Tabea Tietz win the MOST FAIR award with their team at the Coding da Vinci Culture-Hackathon Baden-Württemberg 2022:
Simeon Allmendinger, Joel Oswald, Emil Meckel, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus: ansights, {COD1NG DA V1NC1} Culture-Hackathon Baden-Württemberg 2022.

28.04.2022
Harald Sack gives the talk „Pilotprojekt Wiedergutmachung Ludwigsburg - Wissenschaftlich-technische Herausforderungen und Stand der Arbeiten“ within the framework of the symposium "Unrecht erinnern – Unterlagen zur NS-Wiedergutmachung werden digital" in the State Archives Ludwigsburg.

07.03.2022
Harald Sack gives the talk „Knowledge Graphs and (WikiBase) @ nfdi4Cultur“ in the context of the virtual  NFDI InfraTalk. The video of the talk is available on YouTube.

04.02.2022
Harald Sack gives a Keynote with the title "With Knowledge Doubt Increases - The Significance of Knowledge in Knowledge Graphs" at the 6th International Conference on Graphs & Networks in the Humanities 2022. The video of the talk is available on YouTube.

31.10.2021
Harald Sack gives a talk with the title "The NFDI4Culture Knowledge Graph and WikiBase - Wikibase as RDM Infrastructure within NFDI4Culture" on the occasion of the WikiDataCon 2021.

21.10.2021
Oleksandra Bruns and Tabea Tietz present a talk with the title "Methoden und Herausforderungen einer virtuellen Forschungsumgebung am Beispiel des Projekts TOPORAZ – Nürnberger Topographie in Raum und Zeit" the 28. symposium of the working group of German and Polish monument conservators.

06.10.2021
Harald Sack and Daniel Fähle from the State Archives of Baden-Württemberg present a talk with the title „Ein digitaler Werkzeugkasten für historische Forschung mit Archivgut Status quo und Perspektiven“ anlässlich at the 53. Deutschen Historikertag, Fachsektion, Ludwig-Maximilians-University Munich.

• Genet Asefa Gesese: Leveraging Literals for Knowledge Graph Embeddings, 2023.
• Russa Biswas: Embedding Based Link Prediction for Knowledge Graph Completion, 2022.
• Rima Türker: Short Text Categorization using World Knowledge, 2021.
• Henning Agt-Rickauer: Supporting Domain Modeling with Automated Knowledge Acquisition and Modeling Recommendations, 2020, DOI: http://dx.doi.org/10.14279/depositonce-9600.
• Jörg Waitelonis: Linked Data Supported Information Retrieval (PDF), 2018, DOI: 10.5445/IR/1000084458.
• Kinga Schumacher: Hybrid semantic search - a combination of fact and document retrieval, 2017, URN: urn:nbn:de:kobv:517-opus4-405973, ORCID: https://orcid.org/0000-0003-4509-5827. [local copy (PDF)]

• Vjola Cili: Leveraging Neural Language Models for Knowledge Graph Completion, 2023 [local copy (PDF)]
• Radina Sofronova: Exploiting Language Models for Entity Alignment in Knowledge Graphs, 2022 [local copy (PDF)]
• Schiran Schasith Nosrati: Semantic Aggregation and Labeling of the Patent Information Space, 2022
• Patrick Eisele: Image2Type: Entity Type Prediction via Image Analysis, 2022, DOI: 10.5445/IR/1000144260, [local copy (PDF)]
• Ilona-Dewi Kusardi: Quality Assured Information Extraction from Historical Address Books for Knowledge Graph Construction, 2021.
• Felix Boltz: Concept-level Sentiment Analysis with  SenticNet and Word Embeddings, 2021
• Qingyuan Bie: Words Are Not Enough! Short Text Classification Using Words and Entities, 2019, [local copy (PDF)]
• Tatyana Skripnikova: Semantic Exploration of Text Documents with Multi-Faceted Metadata Employing Word Embeddings: The Patent Landscaping Use Case, 2019, DOI: 10.5445/IR/1000098959, [local copy (PDF)]
• Maximilian Blanck: Predicting Price Residuals in Online Car Marketplaces with Natural Language Processing, 2019, [local copy (PDF)]
• Tabea Tietz: The Application of Semantic Web Technologies to Content Analysis in Sociology, 2018, DOI: 10.5445/IR/1000092077, [local copy (PDF)]
• Lucas Werkmeister: Schema Inference on Wikidata, 2018, DOI: 10.5281/zenodo.2578259. [local copy (PDF)]

• Rick Petzold: Combining Text and Relational Knowledge for Unsupervised Learning for Downstream Tasks, 2021
• Anastasia Prikhodina: Handwritten and Printed Text Separation For Historical Documents, 2021, DOI: 10.5445/IR/1000141960,  [local copy (PDF)]
• Hannah Greven: Analyzing Bias in a Knowledge-Aware News Recommendation System, 2021, DOI: 10.5445/IR/1000142028, [local copy (PDF)]
• Aaron Maier: Image Recognition for the Exploration of Historical Photograph Collections, 2021
• Benedikt Böhme, Evaluation of Fine-Grained Text Classification, 2021
• Sven Bulach, Exploring Graph traversal Algorithms for Knowledge Graphs, 2020
• Manuel Kaschura: Analyzing and Visualizing Twitter Streams based on Trending Hashtags, 2020, DOI: 10.5445/IR/1000127966. [local copy (PDF)]
• Le Yang: Wikipedia List Extraction, 2020
• Radina Sofronova: Fine-grained Type Prediction of Entities using Knowledge Graph Embeddings, 2019, DOI: 10.5445/IR/100010000, [local copy (PDF)]
• Marc Jepsen: Temporal Signature Dataset from Wikipedia, 2019

• Simeon Allmendinger, Joel Oswald, Emil Meckel, Oleksandra Brun, Tabea Tietz, Etienne Posthumus: ansights (https://codingdavinci.de/de/projekte/ansights), {COD1NG DA V1NC1} Culture-Hackathon Baden-Württemberg 2022. Prize for the "Most FAIR" project. The “ansights“ project makes it possible to automatically evaluate document content and to link it to  the content of historical newspapers. ”ansights“ automatically generates keywords from uploaded documents and links them with each other. The results are visually recorded and processed based on their degree of content overlap. The application incorporates data sets from different sources: the university library of Mannheim, Haus der Geschichte Baden-Württemberg, Gemeinsame Normdatei (GND) and Wikidata.
• Radina Sofronova, Russa Biswas, Mehwish Alam and Harald Sack
  Best Poster Paper Award at the 17th European Sematic Web Conference (ESWC 2020) for “Entity Typing based on RDF2Vec using Supervised and Unsupervised Methods”, 02.-04.06.2020
• Tabea Tietz, Kanran Zhou, Jörg Waitelonis and Paul Felgentreff
  Linked Stage Graph using data from the Stuttgart State Theatre in the Coding da V1nc1 Süd competition: Prize for the “most useful” project, 18.05.2019.
• Harald Sack
  Lecture „Information Service Engineering“, Summer semester 2018: In the evaluation of the 83 lectures at the KIT Faculty of Economics by the students, this lecture was one of the ten with the highest scores, 12.12.2018.
• Rima Türker, Lei Zhang, Maria Koutraki and Harald Sack
  Honorable Mention for „,The Less Is More‘ for Text Classification“ at the 14th International Conference on Semantic Systems 2018 (SEMANTiCS 2018), 10.-13.09.2018.

• Information Service Engineering - ISE 2021 Lecture, Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)/ Karlsruher Institut für Informatik (KIT), 2021
• Knowledge Graphs, openHPI Massive Open Online Course (MOOC), 2020
• Information Service Engineering, openHPI Massive Open Online Course (MOOC), 2017
• Linked Data Engineering, openHPI Massive Open Online Couse (MOOC), 2016
• Sematic Web Technologies, openHPI Massive Open Online Couse (MOOC), 2014/2015
• Sematic Web Technologies, openHPI Massive Open Online Couse (MOOC), 2013

https://www.youtube.com/channel/UCjkkhNSNuXrJpMYZoeSBw6Q

Information Service Engineering @ Google Scholar

2023 Publications

• A. Iana, M. Alam, A. Grote, N. Nikolajevic, K. Ludwig, P. Müller, C. Weinhardt, H. Paulheim: NeMig -- A Bilingual News Collection and Knowledge Graph about Migration. In Proc. of 11th International Workshop on News Recommendation and Analytics, INRIA 2023.
• Y. Chen, R. Biswas, J. Bjerva: Colex2Lang: Language Embeddings from Semantic Typology. In Proc. of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), 2023, pp 673–684, [BibTeX].
• M. Vafaie, J. Waitelonis, H. Sack: Improvements in Handwritten And Printed Text Separation in Historical Archival Documents. In Proc. of Archiving Conference, 2023, pp 36-41, online at https://doi.org/10.2352/issn.2168-3204.2023.20.1.0 [local copy (PDF)|BibTeX]
• D. Fähle, H. Sack: Ein digitaler Werkzeugkasten für historische Forschung mit Archivgut - Status Quo und Perspektiven, in R. Hering, G. Maier (Eds.): Deuten und streiten, suchen und finden - Neue Möglichkeiten der Kooperation zwischen Archiven und Geschichtswissenschaft beim Aufbau digitaler Infrastrukturen, Werkhefte des Landesarchivs Baden-Württemberg, Heft 29, Jan Thorbecke Verlag, Stuttgart, 2023, pp. 29-46 [local copy (PDF) | (BibTeX)].
• M.Vafaie, J.Dehdari: Speech Recognition for Persian, In: Persian Computational Linguistics and NLP / Marszałek-Kowalewska, Katarzyna (ed.); Berlin, Boston: De Gruyter Mouton, 2023; 258 p.; ISBN 978-3-11-061922-5; The Companions of Iranian Languages and Linguistics [CILL] 2, p. 85-104 DOI: 10.1515/9783110619225-004
• E. Norouzi, J. Waitelonis, H. Sack: Landscape Analysis of Ontologies in Materials Science and Engineering. In Proc. of EUROMAT 2023, [(BibTeX)].
• T. Tietz, O. Bruns, L. Söhn, J. Tolksdorf, E. Posthumus, J.J. Steller, H. Fliegl, E. Norouzi, J. Waitelonis, T. Schrade, H. Sack: From Floppy Disks to 5-Star LOD: FAIR Research Infrastructure for NFDI4Culture. In Proc. of 3rd Workshop on Metadata and Research (objects) Management for Linked Open Science - DaMaLOS 2023. [local copy (PDF) | (BibTeX) | (presentation slides)].
• C. Santini, E. Posthumus, T. Tietz, M. A. Tan, O. Bruns, H. Sack: Multimodal Search on Iconclass using Vision-Language Pre-Trained Models. In Proc. of JCDL 2023, [local copy (PDF)].
• T. Tietz, O. Bruns, H. Fliegl, E. Posthumus, T. Schrade, H. Sack: Knowledge Graph-basierte Forschungsdatenintegration in NFDI4Culture. In Proc. of the DHd 2023, Open Humanities Open Culture, 9. Tagung des Verbands Digital Humanities im deutschsprachigen Raum. DOI: 10.5281/zenodo.7748740, [local copy (PDF) | (BibTeX)].
• K. Ludwig, A. Grote, A. Iana, M. Alam, H. Paulheim, H. Sack, C. Weinhardt, P. Müller: Divided by the Algorithm? The (Limited) Effects of Content- and Sentiment-Based News Recommendation on Affective, Ideological, and Perceived Polarization. Social Science Computer Review, 2023. DOI: 10.1177/08944393221149290, [local copy (PDF) | (BibTeX)].

2022 Publications

• J. Sequeda, M. Alam, S. Auer, G. Fletcher, H. Sack: Breakout Groups: 5.1 Integration of Language Models and Structured Data. In Proc. of Dagstuhl Seminar 22372: Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century, Dagstuhl Reports, 2022; Vol. 12(9), p. 90-93. DOI: 10.4230/DagRep.12.9.60.
• M. Alam, G. Fletcher, A. Isaac, A. Hogan, D. Maynard, H. Paulheim, H. Sack, E. Simperl, L. Stork, M. van Erp, H. Takeda: Bias in Knowledge Graph Systems. In Proc. of Dagstuhl Seminar 22372: Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century, Dagstuhl Reports, 2022; Vol. 12(9), p. 106-109. DOI: 10.4230/DagRep.12.9.60.
• J. Vrolijk, I. Reklos, M. Vafaie, A. Massari, M. Mohammadi and S. Rudolph: Towards a Methodology Comparison Framework for Interactive Ontology Enrichment. In Proc. of the 7th International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA 2022) co-located with the 21st International Semantic Web Conference (ISWC 2022), [local copy (PDF)].
• A. Cioffi, S. Coppini, A. Massari, A. Moretti, S. Peroni, C. Santini & N. Asadi: Identifying and correcting invalid citations due to DOI errors in Crossref data. Scientometrics Journal, volume 127 (2022), pp. 3593–3612. https://link.springer.com/article/10.1007/s11192-022-04367-w, DOI: https://doi.org/10.1007/s11192-022-04367-w [local copy (PDF)].
• R. Brate, M.-H.Dang, F. Hoppe, Y. He, A. Meroño-Peñuela, V. Sadashivaiah: Improving Language Model Predictions via Prompts Enriched with Knowledge Graphs. In Proc. of Deep Learning for Knowledge Graphs (DL4KG2022) co-located with the 21st International Semantic Web Conference (ISWC 2022) [local copy (PDF)].
• C. Santini, M. A. Tan, T. Tietz, O. Bruns, E. Posthumus, H. Sack: Knowledge Extraction for Art History: the Case of Vasari’s The Lives of The Artists (1568). In Proc. of the 3rd Conference on Digital Curation Technologies (QURATOR 2022) [local copy (PDF) | (BibTeX)].
• K. Ludwig, A. Grote, A. Iana, M. Alam, H. Paulheim, H. Sack,  C. Weinhardt and  P. Müller: Divided by the Algorithm? The (limited) effects of content- and sentiment-based news recommendation on affective, ideological, and perceived polarization. Social Science Computer Review. 2022.
• F. Hoppe.: Improving Zero-Shot Text Classification with Graph-based Knowledge Representations. In proc. of the Doctoral Consortium at the 21st International Semantic Web Conference (ISWC 2022). Ed.: O. Hartig. pp. 27--35 CEUR WS. [local copy (PDF)]
• G. A. Gesese, H.Sack, M. Alam: RAILD: Towards Leveraging Relation Features for Inductive Link Prediction. In Proc. International Joint Conference on Knowledge Graphs 2022 (IJCKG 2022), in cooperation with the 21. International Semantic Web Conference (ISWC 2022)  [local copy (PDF)].
• M. Vafaie, O. Bruns, N. Pilz, J. Waitelonis, H. Sack: Handwritten and Printed Text Identification in Historical Archival Documents. In Proc. of Archiving Conference, 2022, pp 15-20, online at https://doi.org/10.2352/issn.2168-3204.2022.19.1.4 [local copy(PDF)|BibTeX]
• E. Posthumus, H. Brandhorst, H. Sack: The Art Historian’s Bicycle Becomes an E-Bike. In Proc. VISART 2022 (Workshop at the European Conference of Computer Vision (ECCV). [local copy (PDF)]
• Alam M., Boer V., Daga E., van Erp M., Hyvönen E., Meroño-Peñuela A., Editorial of the Special issue on Cultural Heritage and semantic web. Semantic Web Journal
• Y. Chen, H. Sack, M. Alam, Analyzing Social Media for Measuring Public Attitudes towards Controversies and their Driving Factors - A Case Study of Migration, Social Network Analysis, and Mining Journal, 2022. DOI: 10.1007/s13278-022-00915-7 [local copy (PDF) | (BibTeX)]
• R. Biswas, J. Portisch, H. Paulheim, H. Sack, M. Alam: Entity Type Prediction Leveraging Graph Walks and Entity Description In The 21st International Semantic Web Conference (ISWC 2022), (to be published) [arXiv copy (PDF), local copy (PDF)]
• R. Biswas; Y. Chen; H. Paulheim; H. Sack, M. Alam: It's All in the Name: Entity Typing Using Multilingual Language Models In The Semantic Web: ESWC 2022 Satellite Events(ESWC 2022), Poster & Demo Track, Lecture Notes in Computer Science, vol 13384. Springer, Cham., pp. 36--41. https://doi.org/10.1007/978-3-031-11609-4_7 [local copy (PDF)]
• M. A. Tan, E. Posthumus, H. Sack: Audio Ontologies for Intangible Cultural Heritage. In Proceedings of the 19th Extended Semantic Web Conference - Posters and Demos (ESWC2022). [local copy (PDF) | (BIBTex)]
• R. Biswas, H. Sack, M. Alam: MADLINK: Attentive Multihop and Entity Descriptions for Link Prediction in Knowledge Graphs, Semantic Web Journal. DOI: 10.3233/SW-222960, [local copy (PDF) | (BibTeX)].
• M. Alam, A. Iana, A. Grote, K. Ludwig, P. Müller, H. Paulheim: Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection, In Beyond Facts: 2nd International Workshop on Knowledge Graphs for Online Discourse Analysis co-located with the Web Conference. Preprint: https://arxiv.org/pdf/2203.05824.pdf
• A. Iana, M. Alam, H. Paulheim A Survey on Knowledge-Aware News Recommender Systems (Accepted). Semantic Web Journal. Link to preprint: http://www.semantic-web-journal.net/system/files/swj2991.pdf
• K. Ludwig, A. Grote A. Iana, M. Alam, H. Paulheim, H. Sack, C. Weinhardt, P. Müller: Recommended Polarization? The (limited) effects of content- and sentiment-based news recommendation on affective, ideological, and perceived polarization. International Communication Association Conference, 2022.
• M. Alam,D. Buscaldi,M. Cochez, F. Osborne, D. R. Recupero, H. Sack (Eds): Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Semantic Web Journal, DOI: 10.3233/SW-223099, Link: https://content.iospress.com/articles/semantic-web/sw223099
• M. Alam, A. Fensel, J.M. Gil, B. Moser, D. R. Recupero, H. Sack (Eds): Special Issue on Machine Learning and Knowledge Graphs. Future Generation Computer Systems, Volume 129, 2022, pp. 50-53. ISSN: 0167-739X, DOI: https://doi.org/10.1016/j.future.2021.11.022
• C. Santini, G.A. Gesese, S. Peroni, A. Gangemi, H. Sack, M. Alam: A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals. Scientometrics, Vol. 127 (8), 2022, pp. 4887–4912. DOI: https://doi.org/10.1007/s11192-022-04426-2, [local copy (PDF) | (BibTeX)].

further volumes