Publications

Contents published by SALIENT project members


2019

Otto, C., Holzki, S., Ewerth, R., ''Is this an example image?'' - Predicting the Relative Abstractness Level of Image and Text, In Proceedings of European Conference on Information Retrieval (ECIR), Cologne, Germany, 2019.

Otto, C., Springstein, M., Anand, A., Ewerth, R., Understanding, Categorizing and Predicting Semantic Image-Text Relations, ACM International Conference on Multimedia Retrieval (ICMR), Ottawa, Canada, 2019.

Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Oliver Lehmberg, Dominique Ritze, Stefan Dietze: KnowMore - knowledge base augmentation with structured web markup. Semantic Web 10(1): 159-180 (2019)

pdf ]

Masoud Davari, Ran Yu and Stefan Dietze. Understanding The Influence of Task Difficulty on User Fixation Behavior. The 2nd International Workshop on ExplainAble Recommendation and Search (EARS), 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019.

2018

Yu, R., Gadiraju, U., Holtz, P., Rokicki, M., Kemkes, P., Dietze, S., Predicting User Knowledge Gain in Informational Search Sessions, full research track paper at 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2018), Ann Arbor Michigan, U.S.A. July 8-12, 2018, ACM.
[ https://arxiv.org/abs/1805.00823 ]

Gadiraju, U., Yu, R., Dietze, S., Holtz, P., Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web, full research track paper at ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR2018), New Brunswick, NJ, US, 11-15 March 2018, ACM.
[ pdf ]

Medrek, J.,  Otto, C., Ewerth, R., Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data
In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), 286-292, Porto, Portugal, 2018, .
[ https://arxiv.org/abs/1806.07309 ]

Hoppe, A., Holtz, P., Kammerer, Y. , Yu, R., Dietze, S. , Ewerth, R., Current Challenges for Studying Search as Learning Processes
Linked Learning Workshop – Learning and Education with Web Data (LILE), in conjunction with ACM Conference on Web Science, Amsterdam, 2018
[ pdf ]

Yu, R. , Gadiraju, U. and Dietze, S. Detecting, Understanding and Supporting Everyday Learning in Web Search.Workshop on Learning & Education with Web Data (LILE), 10th ACM Conference on Web Science (WebSci), 2018.

pdf ]