Project Details
Description
The COGNOSCO project (from Latin cognōscere: to discover/learn/know) aims at investigating conversational search systems that enable explorative navigation in scientific knowledge repositories. Digital publication libraries provide access to millions of scientific documents from journals, books, protocols, workshops, or proceedings. Various scenarios how scientists discover and learn new insights from these resources are considered. In this context, conversational search systems can interact with humans naturally and offer assistance. With the help of knowledge graphs, structured as well as unstructured textual data are semantically linked during the information search and presented in an understandable format. The search process itself is controlled by an interactive text-based dialog with the system. In addition to the theoretical contributions of the project, a prototype system is developed and evaluated in real-world settings.
| Acronym | COGNOSCO |
|---|---|
| Status | Finished |
| Effective start/end date | 1/03/22 → 31/08/24 |
Collaborative partners
- Springer Nature (Project partner) (lead)
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation
Schneider, P., Klettner, M., Simperl, E. & Matthes, F., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 358-367 10 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
6 Scopus citations -
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
Schneider, P., Klettner, M., Jokinen, K., Simperl, E. & Matthes, F., 2024, In: International Conference on Agents and Artificial Intelligence. 3, p. 807-814 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access5 Scopus citations -
Investigating Conversational Search Behavior for Domain Exploration
Schneider, P., Afzal, A., Vladika, J., Braun, D. & Matthes, F., 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Springer Science and Business Media Deutschland GmbH, p. 608-616 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13981 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access12 Scopus citations