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\n \n \n Fix it now\n

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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Automatically Constructing Geospatial Feature Taxonomies from OpenStreetMap Data.\n \n \n \n \n\n\n \n Shbita, B.; and Knoblock, C. A\n\n\n \n\n\n\n In 2024 IEEE 18th International Conference on Semantic Computing (ICSC), pages 208–211, 2024. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"AutomaticallyLink\n  \n \n \n \"AutomaticallyPaper\n  \n \n \n \"AutomaticallySlides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 38 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{shbita2024automatically,\n  title={Automatically Constructing Geospatial Feature Taxonomies from OpenStreetMap Data},\n  author={Shbita, Basel and Knoblock, Craig A},\n  booktitle={2024 IEEE 18th International Conference on Semantic Computing (ICSC)},\n  pages={208--211},\n  year={2024},\n  organization={IEEE},\n  urlLink={https://doi.org/10.1109/ICSC59802.2024.00039},\n  urlPaper={http://usc-isi-i2.github.io/papers/shbita24-icsc.pdf},\n  urlSlides={http://usc-isi-i2.github.io/slides/shbita24-icsc-slides.pdf}\n}\n\n
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\n  \n 2023\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n GeoAI for the Digitization of Historical Maps.\n \n \n \n \n\n\n \n Chiang, Y.; Chen, M.; Duan, W.; Kim, J.; Knoblock, C. A; Leyk, S.; Li, Z.; Lin, Y.; Namgung, M.; Shbita, B.; and Uhl, J. H\n\n\n \n\n\n\n In Gao, S.; Hu, Y.; and Li, W., editor(s), Handbook of Geospatial Artificial Intelligence, pages 217–247. CRC Press, 2023.\n \n\n\n\n
\n\n\n\n \n \n \"GeoAILink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 12 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{chiang2023geoai,\n  title={GeoAI for the Digitization of Historical Maps},\n  author={Chiang, Yao-Yi and Chen, Muhao and Duan, Weiwei and Kim, Jina and Knoblock, Craig A and Leyk, Stefan and Li, Zekun and Lin, Yijun and Namgung, Min and Shbita, Basel and Uhl, Johannes H},\n  booktitle={Handbook of Geospatial Artificial Intelligence},\n  editor={Gao, Song and Hu, Yingjie and Li, Wenwen},\n  pages={217--247},\n  year={2023},\n  publisher={CRC Press},\n  urlLink={https://doi.org/10.1201/9781003308423-11}\n}\n\n
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\n \n\n \n \n \n \n \n \n Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps.\n \n \n \n \n\n\n \n Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S.\n\n\n \n\n\n\n Semantic Web, 14(3): 527–549. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"BuildingLink\n  \n \n \n \"BuildingPaper\n  \n \n \n \"BuildingSlides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 20 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{shbita2023building,\n  title={Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps},\n  author={Shbita, Basel and Knoblock, Craig A and Duan, Weiwei and Chiang, Yao-Yi and Uhl, Johannes H and Leyk, Stefan},\n  journal={Semantic Web},\n  volume={14},\n  number={3},\n  pages={527--549},\n  year={2023},\n  publisher={IOS Press},\n  urlLink={https://content.iospress.com/articles/semantic-web/sw222918},\n  urlPaper={http://usc-isi-i2.github.io/papers/shbita23-swj.pdf},\n  urlSlides={http://usc-isi-i2.github.io/slides/shbita23-swj-slides.pdf}\n}\n\n
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\n  \n 2022\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Towards the Automated Large-scale Reconstruction of Past Road Networks From Historical Maps.\n \n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Chiang, Y.; and Knoblock, C. A\n\n\n \n\n\n\n Computers, Environment and Urban Systems, 94: 101794. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsLink\n  \n \n \n \"TowardsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 8 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{uhl2022towards,\n  title={Towards the Automated Large-scale Reconstruction of Past Road Networks From Historical Maps},\n  author={Uhl, Johannes H and Leyk, Stefan and Chiang, Yao-Yi and Knoblock, Craig A},\n  journal={Computers, Environment and Urban Systems},\n  volume={94},\n  pages={101794},\n  year={2022},\n  publisher={Elsevier},\n  urlLink={https://www.sciencedirect.com/science/article/pii/S0198971522000382},\n  urlPaper={http://usc-isi-i2.github.io/papers/uhl22-ceu.pdf}\n}\n\n
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\n  \n 2021\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection.\n \n \n \n \n\n\n \n Li, Z.; Guan, R.; Yu, Q.; Chiang, Y.; and Knoblock, C. A\n\n\n \n\n\n\n In Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, pages 17–26, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"SyntheticLink\n  \n \n \n \"SyntheticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{li2021synthetic,\n  title={Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection},\n  author={Li, Zekun and Guan, Runyu and Yu, Qianmu and Chiang, Yao-Yi and Knoblock, Craig A},\n  booktitle={Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery},\n  pages={17--26},\n  year={2021},\n  urlLink={https://dl.acm.org/doi/abs/10.1145/3486635.3491070},\n  urlPaper={http://usc-isi-i2.github.io/papers/li21-acm.pdf},\n  doi={10.1145/3486635.3491070},\n}\n\n
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\n \n\n \n \n \n \n \n \n Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents.\n \n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Li, Z.; Duan, W.; Shbita, B.; Chiang, Y.; and Knoblock, C. A\n\n\n \n\n\n\n Remote Sensing, 13(18): 3672. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"CombiningLink\n  \n \n \n \"CombiningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 10 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{uhl2021combining,\n  title={Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents},\n  author={Uhl, Johannes H and Leyk, Stefan and Li, Zekun and Duan, Weiwei and Shbita, Basel and Chiang, Yao-Yi and Knoblock, Craig A},\n  journal={Remote Sensing},\n  volume={13},\n  number={18},\n  pages={3672},\n  year={2021},\n  publisher={Multidisciplinary Digital Publishing Institute},\n  urlLink={https://www.mdpi.com/2072-4292/13/18/3672},\n  urlPaper={http://usc-isi-i2.github.io/papers/uhl21-remotesensing.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n Towards the Large-scale Extraction of Historical Land Cover Information From Historical Maps.\n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Duan, W.; Li, Z.; Shbita, B.; Chiang, Y.; and Knoblock, C. A\n\n\n \n\n\n\n Abstracts of the ICA, 3. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{uhl2021towards,\n  title={Towards the Large-scale Extraction of Historical Land Cover Information From Historical Maps},\n  author={Uhl, Johannes H and Leyk, Stefan and Duan, Weiwei and Li, Zekun and Shbita, Basel and Chiang, Yao-Yi and Knoblock, Craig A},\n  journal={Abstracts of the ICA},\n  volume={3},\n  year={2021},\n  publisher={Copernicus GmbH}\n}\n\n
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\n  \n 2020\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images.\n \n \n \n \n\n\n \n Li, Z.; Chiang, Y.; Tavakkol, S.; Shbita, B.; Uhl, J. H; Leyk, S.; and Knoblock, C. A\n\n\n \n\n\n\n In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pages 3290–3298, 2020. \n \n\n\n\n
\n\n\n\n \n \n \"AnLink\n  \n \n \n \"AnPaper\n  \n \n \n \"AnSlides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 11 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{li2020automatic,\n  title={An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images},\n  author={Li, Zekun and Chiang, Yao-Yi and Tavakkol, Sasan and Shbita, Basel and Uhl, Johannes H and Leyk, Stefan and Knoblock, Craig A},\n  booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \\& Data Mining},\n  pages={3290--3298},\n  year={2020},\n  urlLink={https://dl.acm.org/doi/10.1145/3394486.3403381},\n  urlPaper={http://usc-isi-i2.github.io/papers/li20-kdd.pdf},\n  urlSlides={http://usc-isi-i2.github.io/slides/li-kdd20-slides.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n Automating Information Extraction From Large Historical Topographic Map Archives: New Opportunities and Challenges.\n \n \n \n\n\n \n Uhl, J. H; and Duan, W.\n\n\n \n\n\n\n Chiang,.Yao-Yi and Werner, Martin (Eds.): Handbook of Big Geospatial Data. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{uhl2020:automating,\n    title={Automating Information Extraction From Large Historical Topographic Map Archives: New Opportunities and Challenges},\n    author={Uhl, Johannes H and Duan, Weiwei},\n    journal={Chiang,.Yao-Yi and Werner, Martin (Eds.): Handbook of Big Geospatial Data},\n    year={2020},\n    publisher={Springer}\n}\n\n
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\n \n\n \n \n \n \n \n \n Using Historical Maps in Scientific Studies: Applications, Challenges, and Best Practices.\n \n \n \n \n\n\n \n Chiang, Y.; Duan, W.; Leyk, S.; Uhl, J. H; and Knoblock, C. A\n\n\n \n\n\n\n Springer, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"UsingLink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 39 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{chiang2020:using,\n    title={Using Historical Maps in Scientific Studies: Applications, Challenges, and Best Practices},\n    author={Chiang, Yao-Yi and Duan, Weiwei and Leyk, Stefan and Uhl, Johannes H and Knoblock, Craig A},\n    urlLink = "{https://www.springer.com/gp/book/9783319669076}",\n    year={2020},\n    publisher={Springer}\n}\n\n
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\n \n\n \n \n \n \n \n \n Building Linked Spatio-Temporal Data from Vectorized Historical Maps.\n \n \n \n \n\n\n \n Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S.\n\n\n \n\n\n\n In Extended Semantic Web Conference, pages 409–426, 2020. Springer\n \n\n\n\n
\n\n\n\n \n \n \"BuildingLink\n  \n \n \n \"BuildingPaper\n  \n \n \n \"BuildingSlides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 38 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{shbita2020building,\n  title={Building Linked Spatio-Temporal Data from Vectorized Historical Maps},\n  author={Shbita, Basel and Knoblock, Craig A and Duan, Weiwei and Chiang, Yao-Yi and Uhl, Johannes H and Leyk, Stefan},\n  booktitle={Extended Semantic Web Conference},\n  pages={409--426},\n  year={2020},\n  organization={Springer},\n  urlLink={https://doi.org/10.1007/978-3-030-49461-2_24},\n  urlPaper={http://usc-isi-i2.github.io/papers/shbita20-eswc.pdf},\n  urlSlides={http://usc-isi-i2.github.io/slides/shbita20-eswc-slides.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n Automatic Alignment of Contemporary Vector Data and Georeferenced Historical Maps Using Reinforcement Learning.\n \n \n \n\n\n \n Duan, W.; Chiang, Y.; Leyk, S.; Uhl, J. H; and Knoblock, C. A\n\n\n \n\n\n\n International Journal of Geographical Information Science, 34(4): 824–849. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 31 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{duan2020:automatic,\n    title={Automatic Alignment of Contemporary Vector Data and Georeferenced Historical Maps Using Reinforcement Learning},\n    author={Duan, Weiwei and Chiang, Yao-Yi and Leyk, Stefan and Uhl, Johannes H and Knoblock, Craig A},\n    journal={International Journal of Geographical Information Science},\n    volume={34},\n    number={4},\n    pages={824--849},\n    year={2020},\n    publisher={Taylor \\& Francis}\n}\n\n
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\n  \n 2019\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas.\n \n \n \n\n\n \n Wu, J.; Wei, P.; Yuan, X.; Shu, Z.; Chiang, Y.; Fu, Z.; and Deng, M.\n\n\n \n\n\n\n IEEE Access, 7: 40649–40662. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{wu2019:new,\n    title={A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas},\n    author={Wu, Jianhua and Wei, Pengjie and Yuan, Xiaofang and Shu, Zhigang and Chiang, Yao-Yi and Fu, Zhongliang and Deng, Min},\n    journal={IEEE Access},\n    volume={7},\n    pages={40649--40662},\n    year={2019},\n    publisher={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Kartta Labs: Unrendering Historical Maps.\n \n \n \n\n\n \n Tavakkol, S.; Chiang, Y.; Waters, T.; Han, F.; Prasad, K.; and Kiveris, R.\n\n\n \n\n\n\n In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, pages 48–51, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{tavakkol2019:kartta,\n    title={Kartta Labs: Unrendering Historical Maps},\n    author={Tavakkol, Sasan and Chiang, Yao-Yi and Waters, Tim and Han, Feng and Prasad, Kisalaya and Kiveris, Raimondas},\n    booktitle={Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery},\n    pages={48--51},\n    year={2019}\n}\n\n
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\n \n\n \n \n \n \n \n Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks.\n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Chiang, Y.; Duan, W.; and Knoblock, C. A\n\n\n \n\n\n\n IEEE Access. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{uhl2019:automated,\n    title={Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks},\n    author={Uhl, Johannes H and Leyk, Stefan and Chiang, Yao-Yi and Duan, Weiwei and Knoblock, Craig A},\n    journal={IEEE Access},\n    year={2019},\n    publisher={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Spatio-temporal Information Extraction Under Uncertainty Using Multi-source Data Integration and Machine Learning: Applications to Human Settlement Modelling.\n \n \n \n\n\n \n Uhl, J. H.\n\n\n \n\n\n\n Ph.D. Thesis, University of Colorado at Boulder, 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{uhl2019:spatio,\n    title={Spatio-temporal Information Extraction Under Uncertainty Using Multi-source Data Integration and Machine Learning: Applications to Human Settlement Modelling},\n    author={Uhl, Johannes Hermann},\n    year={2019},\n    school={University of Colorado at Boulder}\n}\n\n
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\n  \n 2018\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n \n Web Text-based Network Industry Classifications: Preliminary Results.\n \n \n \n \n\n\n \n Gupta, R.; Pujara, J.; Knoblock, C. A.; Sharanappa, S. M.; Pulavarti, B.; Hoberg, G.; and Phillips, G.\n\n\n \n\n\n\n In Feature Selection Methods For Understanding Business Competitor Relationships, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"WebPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{gupta2018:dsmm,\n    Author = {Rahul Gupta and Jay Pujara and Craig A. Knoblock and Shushyam M. Sharanappa and Bharat Pulavarti and Gerard Hoberg and Gordon Phillips},\n    Booktitle = {Feature Selection Methods For Understanding Business Competitor Relationships},\n    Title = {Web Text-based Network Industry Classifications: Preliminary Results},\n    Urlpaper = {http://usc-isi-i2.github.io/papers/gupta18-dsmm.pdf},\n    Year = {2018}\n}\n\n
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\n \n\n \n \n \n \n \n \n Automatic Generation of Precisely Delineated Geographic Features From Georeferenced Historical Maps Using Deep Learning.\n \n \n \n \n\n\n \n Duan, W.; Chiang, Y.; Knoblock, C. A; Leyk, S.; and Uhl, J.\n\n\n \n\n\n\n In Proceedings of the AutoCarto, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"AutomaticSlides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{duan2018:automatic,\n    title={Automatic Generation of Precisely Delineated Geographic Features From Georeferenced Historical Maps Using Deep Learning},\n    author={Duan, Weiwei and Chiang, YY and Knoblock, Crang A and Leyk, Stefan and Uhl, JH},\n    booktitle={Proceedings of the AutoCarto},\n    urlSlides= "{http://usc-isi-i2.github.io/slides/autocarto18.pdf}",\n    year={2018}\n}\n\n
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\n \n\n \n \n \n \n \n Exploring the Potential of Deep Learning for Settlement Symbol Extraction from Historical Map Documents.\n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Chiang, Y.; Duan, W.; and Knoblock, C. A\n\n\n \n\n\n\n In UCGIS/AutoCarto, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{uhl2018:ugis,\n    author = "Johannes H Uhl and Stefan Leyk and Yao-Yi Chiang and Weiwei Duan and Craig A Knoblock",\n    title = "Exploring the Potential of Deep Learning for Settlement Symbol Extraction from Historical Map Documents",\n    booktitle = "UCGIS/AutoCarto",\n    year = "2018"\n}\n\n
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\n \n\n \n \n \n \n \n \n Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections.\n \n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Chiang, Y.; Duan, W.; and Knoblock, C. A\n\n\n \n\n\n\n In ISPRS International Journal of Geo-Information, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"MapPaper\n  \n \n \n \"MapLink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{uhl18:isprs,\n    author = "Johannes H Uhl and Stefan Leyk and Yao-Yi Chiang and Weiwei Duan and Craig A Knoblock",\n    title = "Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections",\n    booktitle = "ISPRS International Journal of Geo-Information",\n    Urlpaper = "{http://usc-isi-i2.github.io/papers/uhl18-isprs.pdf}",\n    urlLink = "{http://www.mdpi.com/2220-9964/7/4/148}",\n    year = "2018"\n}\n\n
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\n \n\n \n \n \n \n \n \n Building Linked Data from Historical Maps.\n \n \n \n \n\n\n \n Chun Lin, H. S.; Craig A. Knoblock, Y. C.; and Weiwei Duan, S. L.\n\n\n \n\n\n\n In Proceedings of the ISWC 2018 Workshop on Enabling Open Semantic Science (SemSci 2018), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"BuildingPaper\n  \n \n \n \"BuildingSlides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lin2018:semsci,\n    author    = "Chun Lin, Hang Su, Craig A. Knoblock, Yao-Yi Chiang, Weiwei Duan, Stefan Leyk, Johannes H. Uhl",\n    title     = "Building Linked Data from Historical Maps",\n    booktitle = "Proceedings of the ISWC 2018 Workshop on Enabling Open Semantic Science (SemSci 2018)",\n    year      = "2018",\n    Urlpaper = "{http://usc-isi-i2.github.io/papers/lin18.pdf}",\n    urlslides = "{http://usc-isi-i2.github.io/slides/lin08-semsci.pdf}"\n}\n\n
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\n \n\n \n \n \n \n \n \n Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing.\n \n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Chiang, Y.; Duan, W.; and Knoblock, C. A\n\n\n \n\n\n\n In The Institution of Engineering and Technology, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"SpatialisingPaper\n  \n \n \n \"SpatialisingLink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{uhl2018:iet,\n    author = "Johannes H Uhl and Stefan Leyk and Yao-Yi Chiang and Weiwei Duan and Craig A Knoblock",\n    title = "Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing",\n    booktitle = "The Institution of Engineering and Technology",\n    Urlpaper = "{http://usc-isi-i2.github.io/papers/knoblock18-iet.pdf}",\n    urlLink = "{http://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5484}",\n    year = "2018"\n}\n\n
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\n  \n 2017\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Unlocking Textual Content from Historical Maps – Potentials & Applications, Trends, and Outlooks.\n \n \n \n \n\n\n \n Chiang, Y.\n\n\n \n\n\n\n In International Conference on Recent Trends in Image Processing and Pattern Recognition, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"UnlockingPaper\n  \n \n \n \"UnlockingLink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{chiang18:icrtipr,\n    author = "Yao-Yi Chiang",\n    title = "Unlocking Textual Content from Historical Maps – Potentials & Applications, Trends, and Outlooks",\n    booktitle = "International Conference on Recent Trends in Image Processing and Pattern Recognition",\n    Urlpaper = "{http://usc-isi-i2.github.io/papers/chiang18-ic.pdf}",\n    urlLink = "{https://link.springer.com/chapter/10.1007/978-981-10-4859-3_11}",\n    year = "2017"\n}\n\n
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\n \n\n \n \n \n \n \n \n SRC: Automatic Extraction of Phrase-level Map Labels from Historical Maps.\n \n \n \n \n\n\n \n Lin, H.; and Chiang, Y.\n\n\n \n\n\n\n In SIGSPATIAL, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"SRC:Paper\n  \n \n \n \"SRC:Link\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lin17:sigspatial,\n    author = "Haowen Lin and Yao-Yi Chiang",\n    title = "SRC: Automatic Extraction of Phrase-level Map Labels from Historical Maps",\n    booktitle = "SIGSPATIAL",\n    Urlpaper = "{http://usc-isi-i2.github.io/papers/lin17-sigspatial.pdf}",\n    urlLink = "{https://dl.acm.org/citation.cfm?id=3178400&dl=ACM&coll=DL}",\n    year = "2017"\n}\n\n
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\n \n\n \n \n \n \n \n \n SRC: A Fully Automatic Geographic Feature Recognition System.\n \n \n \n \n\n\n \n Duan, W.; and Chiang, Y.\n\n\n \n\n\n\n In SIGSPATIAL, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"SRC:Paper\n  \n \n \n \"SRC:Link\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{duan17:sigspatial,\n    author = "Weiwei Duan and Yao-Yi Chiang",\n    title = "SRC: A Fully Automatic Geographic Feature Recognition System",\n    booktitle = "SIGSPATIAL",\n    Urlpaper = "{http://usc-isi-i2.github.io/papers/duan17-sigspatial1.pdf}",\n    urlLink = "{https://dl.acm.org/citation.cfm?id=3178396&dl=ACM&coll=DL}",\n    year = "2017"\n}\n\n
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\n \n\n \n \n \n \n \n \n Automatic Alignment of Geographic Features in Contemporary Vector Data and Historical Maps.\n \n \n \n \n\n\n \n Duan, W.; Chiang, Y.; Knoblock, C. A.; Jain, V.; Feldman, D.; Uhl, J. H.; and Leyk, S.\n\n\n \n\n\n\n In 1st ACM SIGSPATIAL Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery (GeoAI 2017), 2017. \n \n\n\n\n
\n\n\n\n \n \n \"AutomaticPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{knoblock2017:geoai,\n\tauthor = "Weiwei Duan and Yao-Yi Chiang and Craig A. Knoblock and Vinil Jain and Dan Feldman and Johannes H. Uhl and Stefan Leyk",\n\ttitle = "Automatic Alignment of Geographic Features in Contemporary Vector Data and Historical Maps",\n\tbooktitle = {1st ACM SIGSPATIAL Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery (GeoAI 2017)},\n    Urlpaper = {http://usc-isi-i2.github.io/papers/knoblock17-geoai.pdf},\n\tYear = {2017}\n}\n\n
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\n \n\n \n \n \n \n \n \n Assessing the Accuracy of Multi-Temporal Built-Up Land Layers across Rural-Urban Trajectories in the United States.\n \n \n \n \n\n\n \n Leyk, S.; Uhl, J.; Balk, D.; and Jones, B.\n\n\n \n\n\n\n In Remote Sensing of Environment, 2017. Elsevier\n \n\n\n\n
\n\n\n\n \n \n \"AssessingPaper\n  \n \n \n \"AssessingLink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{stef:rse,\n\tauthor = "Stefan Leyk and Johannes Uhl and  Deborah Balk and Bryan Jones",\n\ttitle = "Assessing the Accuracy of Multi-Temporal Built-Up Land Layers across Rural-Urban Trajectories in the United States",\n\tbooktitle = {Remote Sensing of Environment},\n\tPublisher ={Elsevier},\n\tYear = {2017},\n\tUrlpaper = {http://usc-isi-i2.github.io/papers/uhl17-rse.pdf},\n\turlLink= {http://www.sciencedirect.com/science/article/pii/S0034425717304017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Extracting Human Settlement Footprint from Historical Topographic Map Series Using Context-Based Machine Learning.\n \n \n \n \n\n\n \n Uhl, J.; Leyk, S.; Chiang, Y.; Duan, W.; and Knoblock, C. A.\n\n\n \n\n\n\n In 8th International Conference on Pattern Recognition Systems, At Madrid, Spain, Volume: 8, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"ExtractingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{uhl17:icprs,\n\tauthor = "Johannes Uhl and Stefan Leyk and  Yao-Yi Chiang and Weiwei Duan and Craig A. Knoblock",\n\ttitle = "Extracting Human Settlement Footprint from Historical Topographic Map Series Using Context-Based Machine Learning",\n\tbooktitle = {8th International Conference on Pattern Recognition Systems, At Madrid, Spain, Volume: 8},\n\turlPaper = {http://usc-isi-i2.github.io/papers/knoblock17-cprs.pdf},\n\tYear = 2017\n}\n\n
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\n \n\n \n \n \n \n \n \n A Framework for Radiometric Sensitivity Evaluation of Medium Resolution Remote Sensing Time Series Data to Built-up Land Cover Change.\n \n \n \n \n\n\n \n Uhl, J.; and Leyk, S.\n\n\n \n\n\n\n In 2017 IEEE International Geoscience & Remote Sensing Symposium, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"ALink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{uhl17:igrss,\n\tauthor = "Johannes Uhl and Stefan Leyk",\n\ttitle = "A Framework for Radiometric Sensitivity Evaluation of Medium Resolution Remote Sensing Time Series Data to Built-up Land Cover Change",\n\tbooktitle = {2017 IEEE International Geoscience & Remote Sensing Symposium},\n\tYear = 2017,\n\turlLink= {http://www.igarss2017.org/Papers/viewpapers.asp?papernum=3623},\n}\n\n
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\n \n\n \n \n \n \n \n \n Implementing the Concept of Geographic Context for Efficient Recognition from Large-Scale Topographic Map Series.\n \n \n \n \n\n\n \n Leyk, S.; and Chiang, Y.\n\n\n \n\n\n\n In Proceedings of the 28th International Cartographic Conference, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"ImplementingLink\n  \n \n \n \"ImplementingSlides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{leyk17:icc,\n\tauthor = "Stefan Leyk and Yao-Yi Chiang",\n\ttitle = "Implementing the Concept of Geographic Context for Efficient Recognition from Large-Scale Topographic Map Series",\n\tbooktitle = {Proceedings of the 28th International Cartographic Conference},\n\tYear = 2017,\n\turlLink= {https://www.eventscribe.com/2017/ICC/fsPopup.asp?Mode=presInfo&PresentationID=259429},\n\turlSlides = {http://usc-isi-i2.github.io/slides/uhl_leyk_chiang ICC 2017_short.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n Machine-learning based Approaches for Extracting Settlement Features from Historical Maps.\n \n \n \n\n\n \n Uhl, J. H; Leyk, S.; Chiang, Y.; Duan, W.; and Knoblock, C. A\n\n\n \n\n\n\n In 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{uhl2017:ilus,\n    author = "Johannes H Uhl and Stefan Leyk and Yao-Yi Chiang and Weiwei Duan and Craig A Knoblock",\n    title = "Machine-learning based Approaches for Extracting Settlement Features from Historical Maps",\n    year = "2017"\n}\n\n
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\n  \n 2016\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Information Extraction of Hydrographic Features from Historical Map Archives using the Concept of Geographic Context.\n \n \n \n \n\n\n \n Leyk, S.; and Chiang, Y.\n\n\n \n\n\n\n In Proceedings of AutoCarto 2016, Albuquerque, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"InformationPaper\n  \n \n \n \"InformationLink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{chiang16:cartogis,\n    author = "Stefan Leyk and  Yao-Yi Chiang",\n    title = "Information Extraction of Hydrographic Features from Historical Map Archives using the Concept of Geographic Context",\n    booktitle = {Proceedings of AutoCarto 2016, Albuquerque},\n    Year = 2016,\n    urlPaper = {http://usc-isi-i2.github.io/papers/Chiang-autocarto.pdf},\n    urlLink= {http://www.cartogis.org/publications/proceedings.php?year=2016},\n}\n\n
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\n \n\n \n \n \n \n \n \n Assessing Spatiotemporal Agreement between MultiTemporal Built-up Land Layers and Integrated Cadastral and Building Data.\n \n \n \n \n\n\n \n Uhl, J.; Leyk, S.; J, F. A.; Pesaresi, M.; and Balk, D.\n\n\n \n\n\n\n In Proceedings of the 9th International Conference on Geographic Information Science, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"AssessingPaper\n  \n \n \n \"AssessingLink\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{uhl16:icgis,\n\tauthor = "Johannes Uhl and Stefan Leyk and Florczyk Aneta J and Martino Pesaresi and Deborah Balk",\n\ttitle = "Assessing Spatiotemporal Agreement between MultiTemporal Built-up Land Layers and Integrated Cadastral and Building Data",\n\tbooktitle = {Proceedings of the 9th International Conference on Geographic Information Science},\n\tUrlpaper = {http://usc-isi-i2.github.io/papers/uhl16-gisci.pdf},\n\turlLink = {https://sites.grenadine.co/sites/giscience2016/fr/Montreal/schedule/100/Assessing+Spatiotemporal+Agreement+between+Multi-Temporal+Built-up+Land+Layers+and+Integrated+Cadastral+and+Building+Data},\n\tYear = 2016,\n}
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