%0 Conference Paper %1 Budig:2015:EAU:2855680.2855841 %A Budig, Benedikt %B Proceedings of the 2nd ACM SIGSPATIAL PhD Workshop %C New York, NY, USA %D 2016 %I ACM %K crowdsourcing efficient-algorithms hci historical-maps metadata-extraction myown %P 4:1--4:4 %R 10.1145/2855680.2855841 %T Efficient Algorithms and User Interaction for Metadata Extraction from Historical Maps %U http://www1.pub.informatik.uni-wuerzburg.de/pub/budig/papers/SIGSPATIAL-PhD-2015_Budig.pdf %X In this research project we develop a system for metadata extraction from historical maps. Such maps are valuable sources of information for researchers of various disciplines. However, metadata describing their (geographic) contents are scarce, because such information mostly has to be extracted by hand. Examining related work, we find that no holistic, automated solutions for this problem have been developed so far. Our system aims at speeding up the process of metadata extraction, using efficient algorithms combined with user interaction. We present our approach, which is a pipeline consisting of several steps. The layout of this system is modular; we discuss two modules in the pipeline that we have already developed and sketch our solutions. We conclude this report with an outlook and future work, which includes crowdsourcing applications. %@ 978-1-4503-3980-3

@inproceedings{Budig:2015:EAU:2855680.2855841, abstract = {In this research project we develop a system for metadata extraction from historical maps. Such maps are valuable sources of information for researchers of various disciplines. However, metadata describing their (geographic) contents are scarce, because such information mostly has to be extracted by hand. Examining related work, we find that no holistic, automated solutions for this problem have been developed so far. Our system aims at speeding up the process of metadata extraction, using efficient algorithms combined with user interaction. We present our approach, which is a pipeline consisting of several steps. The layout of this system is modular; we discuss two modules in the pipeline that we have already developed and sketch our solutions. We conclude this report with an outlook and future work, which includes crowdsourcing applications.}, acmid = {2855841}, added-at = {2016-10-04T15:40:13.000+0200}, address = {New York, NY, USA}, articleno = {4}, author = {Budig, Benedikt}, biburl = {https://www.bibsonomy.org/bibtex/2a813ad756d62bd106fcfb7cb92cbf923/benedikt.budig}, booktitle = {Proceedings of the 2nd ACM SIGSPATIAL PhD Workshop}, doi = {10.1145/2855680.2855841}, interhash = {58f1e61b64dd92d7769b11f64a082a67}, intrahash = {a813ad756d62bd106fcfb7cb92cbf923}, isbn = {978-1-4503-3980-3}, keywords = {crowdsourcing efficient-algorithms hci historical-maps metadata-extraction myown}, location = {Bellevue, Washington}, numpages = {4}, pages = {4:1--4:4}, publisher = {ACM}, series = {SIGSPATIAL PhD '15}, timestamp = {2016-10-05T10:07:58.000+0200}, title = {Efficient Algorithms and User Interaction for Metadata Extraction from Historical Maps}, url = {http://www1.pub.informatik.uni-wuerzburg.de/pub/budig/papers/SIGSPATIAL-PhD-2015_Budig.pdf}, year = 2016 }