TY  - JOUR
A1  - Klinger, Patricia
A1  - Gampe, Sebastian
A1  - Tolle, Karsten
A1  - Peter, Ulrike
T1  - Semantic search based on natural language processing – a numismatic example
T2  - Journal of ancient history and archaeology
N2  - Iconographic representations on ancient artifacts are described in many existing databases and literature as human readable text. We applied Natural Language Processing (NLP) approaches in order to extract the semantics out of these textual descriptions and in this way enable semantic searches over them. This allows more sophisticated requests compared to the common existing keyword searches. As we show in our experiments based on numismatic datasets, the approach is generic in the sense that once the system is trained on one dataset, it can be applied without any further manual work also to datasets that have similar content. Of course, additional adaptions would further improve the results. Since the approach requires manual work only during the training phase, it can easily be applied to huge datasets without manual work and therefore without major extra costs. In fact, in our experience bigger datasets generate even better results because there is more data for training. Since our approach is not bound to a certain domain and the numismatic datasets are just an example, it could serve as a blueprint for many other areas. It could also help to build bridges between disciplines since textual iconographic descriptions are to be found also for pottery, sculpture and elsewhere.
KW  - Natural Language Processing
KW  - Ontology
KW  - Numismatics
KW  - Iconography
Y1  - 2018
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/54374
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-543740
SN  - 2360-266X
VL  - 3
IS  - 5
SP  - 68
EP  - 79
PB  - Mega Publishing House
ER  -