Basel Shbita, Ph.D.

scientist, engineer, and multidisciplinary artist

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  2024 (3)

Exploiting Distant Supervision to Learn Semantic Descriptions of Tables with Overlapping Data. Vu, B.; Knoblock, C. A; Shbita, B.; and Lin, F. In International Semantic Web Conference, pages 116–134, Cham, 2024. Springer Nature Switzerland
Link   doi   link   bibtex  

@inproceedings{vu2024exploiting,
  title={Exploiting Distant Supervision to Learn Semantic Descriptions of Tables with Overlapping Data},
  author={Vu, Binh and Knoblock, Craig A and Shbita, Basel and Lin, Fandel},
  booktitle={International Semantic Web Conference},
  pages={116--134},
  year={2024},
  publisher={Springer Nature Switzerland},
  address={Cham},
  doi={10.1007/978-3-031-77850-6_7},
  urlLink={https://doi.org/10.1007/978-3-031-77850-6_7}
}

Constructing a Knowledge Graph of Historical Mining Data. Shbita, B.; Sharma, N.; Vu, B.; Lin, F.; and Knoblock, C. A In 6th International Workshop on Geospatial Linked Data (GeoLD) Co-located with the 21st Extended Semantic Web Conference (ESWC), 2024. CEUR
Paper   Slides   link   bibtex   12 downloads  

@inproceedings{shbita2024constructing,
  title={Constructing a Knowledge Graph of Historical Mining Data},
  author={Shbita, Basel and Sharma, Namrata and Vu, Binh and Lin, Fandel and Knoblock, Craig A},
  booktitle={6th International Workshop on Geospatial Linked Data (GeoLD) Co-located with the 21st Extended Semantic Web Conference (ESWC)},
  year={2024},
  organization={CEUR},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita24-geold_ewsc.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita24-geold_ewsc-slides.pdf}
}

Automatically Constructing Geospatial Feature Taxonomies from OpenStreetMap Data. Shbita, B.; and Knoblock, C. A In 2024 IEEE 18th International Conference on Semantic Computing (ICSC), pages 208–211, 2024. IEEE
Link   Paper   Slides   doi   link   bibtex   46 downloads  

@inproceedings{shbita2024automatically,
  title={Automatically Constructing Geospatial Feature Taxonomies from OpenStreetMap Data},
  author={Shbita, Basel and Knoblock, Craig A},
  booktitle={2024 IEEE 18th International Conference on Semantic Computing (ICSC)},
  pages={208--211},
  year={2024},
  organization={IEEE},
  doi={10.1109/ICSC59802.2024.00039},
  urlLink={https://doi.org/10.1109/ICSC59802.2024.00039},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita24-icsc.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita24-icsc-slides.pdf}
}

  2023 (4)

GeoAI for the Digitization of Historical Maps. 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 In Gao, S.; Hu, Y.; and Li, W., editor(s), Handbook of Geospatial Artificial Intelligence, pages 217–247. CRC Press, 2023.
Link   doi   link   bibtex   19 downloads  

@incollection{chiang2023geoai,
  title={GeoAI for the Digitization of Historical Maps},
  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},
  booktitle={Handbook of Geospatial Artificial Intelligence},
  editor={Gao, Song and Hu, Yingjie and Li, Wenwen},
  pages={217--247},
  year={2023},
  publisher={CRC Press},
  doi={10.1201/9781003308423-11},
  urlLink={https://doi.org/10.1201/9781003308423-11}
}

Exploiting Polygon Metadata to Understand Raster Maps: Accurate Polygonal Feature Extraction. Lin, F.; Knoblock, C. A; Shbita, B.; Vu, B.; Li, Z.; and Chiang, Y. In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, pages 1–12, 2023.
Link   doi   link   bibtex   4 downloads  

@inproceedings{lin2023exploiting,
  title={Exploiting Polygon Metadata to Understand Raster Maps: Accurate Polygonal Feature Extraction},
  author={Lin, Fandel and Knoblock, Craig A and Shbita, Basel and Vu, Binh and Li, Zekun and Chiang, Yao-Yi},
  booktitle={Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems},
  year={2023},
  pages={1--12},
  doi={10.1145/3589132.3625659},
  urlLink={https://doi.org/10.1145/3589132.3625659}
}

Understanding Customer Requirements-An Enterprise Knowledge Graph Approach. Shbita, B.; Gentile, A. L.; Li, P.; DeLuca, C.; and Ren, G. In Extended Semantic Web Conference, pages 625–643, Cham, 2023. Springer Nature Switzerland
Link   Paper   Slides   doi   link   bibtex   20 downloads  

@inproceedings{shbita2023understanding,
  title={Understanding Customer Requirements-An Enterprise Knowledge Graph Approach},
  author={Shbita, Basel and Gentile, Anna Lisa and Li, Pengyuan and DeLuca, Chad and Ren, Guang-Jie},
  booktitle={Extended Semantic Web Conference},
  year={2023},
  pages={625--643},
  publisher={Springer Nature Switzerland},
  address={Cham},
  doi={10.1007/978-3-031-33455-9_37},
  urlLink={https://doi.org/10.1007/978-3-031-33455-9_37},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita23-eswc.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita23-eswc-slides.pdf}
}

Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps. Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S. Semantic Web, 14(3): 527–549. 2023.
Link   Paper   Slides   doi   link   bibtex   31 downloads  

@article{shbita2023building,
  title={Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps},
  author={Shbita, Basel and Knoblock, Craig A and Duan, Weiwei and Chiang, Yao-Yi and Uhl, Johannes H and Leyk, Stefan},
  journal={Semantic Web},
  volume={14},
  number={3},
  pages={527--549},
  year={2023},
  publisher={IOS Press},
  doi={10.3233/SW-222918},
  urlLink={https://doi.org/10.3233/SW-222918},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita23-swj.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita23-swj-slides.pdf}
}

  2022 (1)

Automated Generation of Control Concepts Annotation Rules Using Inductive Logic Programming. Shbita, B.; and Moitra, A. In Hanus, M.; and Igarashi, A., editor(s), Functional and Logic Programming, pages 171–185, Cham, 2022. Springer International Publishing
Link   Paper   Slides   doi   link   bibtex   12 downloads  

@inproceedings{shbita2022automated,
  title={Automated Generation of Control Concepts Annotation Rules Using Inductive Logic Programming},
  author={Shbita, Basel and Moitra, Abha},
  editor={Hanus, Michael and Igarashi, Atsushi},
  booktitle={Functional and Logic Programming},
  year={2022},
  publisher={Springer International Publishing},
  address={Cham},
  pages={171--185},
  doi={10.1007/978-3-030-99461-7_10},
  urlLink={https://link.springer.com/chapter/10.1007/978-3-030-99461-7_10},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita22-flops.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita22-flops-slides.pdf}
}

  2021 (4)

Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents. Uhl, J. H; Leyk, S.; Li, Z.; Duan, W.; Shbita, B.; Chiang, Y.; and Knoblock, C. A Remote Sensing, 13(18): 3672. 2021.
Link   Paper   doi   link   bibtex   10 downloads  

@article{uhl2021combining,
  title={Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents},
  author={Uhl, Johannes H and Leyk, Stefan and Li, Zekun and Duan, Weiwei and Shbita, Basel and Chiang, Yao-Yi and Knoblock, Craig A},
  journal={Remote Sensing},
  volume={13},
  number={18},
  pages={3672},
  year={2021},
  publisher={Multidisciplinary Digital Publishing Institute},
  doi={10.3390/rs13183672},
  urlLink={https://www.mdpi.com/2072-4292/13/18/3672},
  urlPaper={http://usc-isi-i2.github.io/papers/uhl21-remotesensing.pdf}
}

Viola: A Topic Agnostic Generate-and-Rank Dialogue System. Cho, H.; Shbita, B.; Shenoy, K.; Liu, S.; Patel, N.; Pindikanti, H.; Lee, J.; and May, J. In Proceedings of the Alexa Prize Socialbot Grand Challenge 4, 2021.
Link   Paper   Slides   doi   link   bibtex   7 downloads  

@inproceedings{cho2021viola,
  title={Viola: A Topic Agnostic Generate-and-Rank Dialogue System},
  author={Cho, Hyundong and Shbita, Basel and Shenoy, Kartik and Liu, Shuai and Patel, Nikhil and Pindikanti, Hitesh and Lee, Jennifer and May, Jonathan},
  booktitle={Proceedings of the Alexa Prize Socialbot Grand Challenge 4},
  year={2021},
  doi={10.48550/arXiv.2108.11063},
  urlLink={https://arxiv.org/abs/2108.11063},
  urlPaper={https://arxiv.org/pdf/2108.11063.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita21-alexa-slides.pdf}
}

Open Drug Knowledge Graph. Mann, M.; Ilievski, F.; Rostami, M.; Aastha, A.; and Shbita, B. In Proceedings of the 2nd International Workshop on Knowledge Graph Construction, 2021.
Paper   link   bibtex   2 downloads  

@inproceedings{mann2021open,
  title={Open Drug Knowledge Graph},
  author={Mann, Mark and Ilievski, Filip and Rostami, Mohammad and Aastha, Aastha and Shbita, Basel},
  booktitle={Proceedings of the 2nd International Workshop on Knowledge Graph Construction},
  year={2021},
  urlPaper={http://ceur-ws.org/Vol-2873/paper10.pdf}
}

Knowledge Graph-Based Housing Market Analysis. Hu, Z.; Zhao, Z.; Rostami, M.; Ilievski, F.; and Shbita, B. In Proceedings of the 2nd International Workshop on Knowledge Graph Construction, 2021.
Paper   link   bibtex   4 downloads  

@inproceedings{hu2021knowledge,
  title={Knowledge Graph-Based Housing Market Analysis},
  author={Hu, Ziping and Zhao, Zepei and Rostami, Mohammad and Ilievski, Filip and Shbita, Basel},
  booktitle={Proceedings of the 2nd International Workshop on Knowledge Graph Construction},
  year={2021},
  urlPaper={http://ceur-ws.org/Vol-2873/paper4.pdf}
}

  2020 (2)

An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. Li, Z.; Chiang, Y.; Tavakkol, S.; Shbita, B.; Uhl, J. H; Leyk, S.; and Knoblock, C. A In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pages 3290–3298, 2020.
Link   Paper   Slides   doi   link   bibtex   11 downloads  

@inproceedings{li2020automatic,
  title={An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images},
  author={Li, Zekun and Chiang, Yao-Yi and Tavakkol, Sasan and Shbita, Basel and Uhl, Johannes H and Leyk, Stefan and Knoblock, Craig A},
  booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
  pages={3290--3298},
  year={2020},
  doi={10.1145/3394486.3403381},
  urlLink={https://dl.acm.org/doi/10.1145/3394486.3403381},
  urlPaper={http://usc-isi-i2.github.io/papers/li20-kdd.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/li-kdd20-slides.pdf}
}

Building Linked Spatio-Temporal Data from Vectorized Historical Maps. Shbita, B.; Knoblock, C. A; Duan, W.; Chiang, Y.; Uhl, J. H; and Leyk, S. In Extended Semantic Web Conference, pages 409–426, 2020. Springer
Link   Paper   Slides   doi   link   bibtex   39 downloads  

@inproceedings{shbita2020building,
  title={Building Linked Spatio-Temporal Data from Vectorized Historical Maps},
  author={Shbita, Basel and Knoblock, Craig A and Duan, Weiwei and Chiang, Yao-Yi and Uhl, Johannes H and Leyk, Stefan},
  booktitle={Extended Semantic Web Conference},
  pages={409--426},
  year={2020},
  organization={Springer},
  doi={10.1007/978-3-030-49461-2_24},
  urlLink={https://doi.org/10.1007/978-3-030-49461-2_24},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita20-eswc.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita20-eswc-slides.pdf}
}

  2019 (2)

Creating a FAIR Data Catalog to Support Scientific Modeling. Shbita, B.; Vu, B.; Feldman, D.; Pham, M.; Rajendran, A.; Knoblock, C. A; Pujara, J.; and Chiang, Y. In Proceedings of the Workshop on Advanced Knowledge Technologies for Science in a FAIR World, 2019.
Paper   Slides   link   bibtex   5 downloads  

@inproceedings{shbita2019creating,
  title={Creating a FAIR Data Catalog to Support Scientific Modeling},
  author={Shbita, Basel and Vu, Binh and Feldman, Dan and Pham, Minh and Rajendran, Arunkumar and Knoblock, Craig A and Pujara, Jay and Chiang, Yao-Yi},
  booktitle={Proceedings of the Workshop on Advanced Knowledge Technologies for Science in a FAIR World},
  location={San Diego, CA},
  year={2019},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita19-escience.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita19-escience-slides.pdf}
}

Parsing, Representing and Transforming Units of Measure. Shbita, B.; Rajendran, A.; Pujara, J.; and Knoblock, C. A In Proceedings of the Conference on Modeling the World's Systems, 2019.
Paper   Slides   link   bibtex   14 downloads  

@inproceedings{shbita2019parsing,
  title={Parsing, Representing and Transforming Units of Measure},
  author={Shbita, Basel and Rajendran, Arun and Pujara, Jay and Knoblock, Craig A},
  booktitle={Proceedings of the Conference on Modeling the World's Systems},
  location={Pittsburgh, PA},
  year={2019},
  urlPaper={http://usc-isi-i2.github.io/papers/shbita19-mws.pdf},
  urlSlides={http://usc-isi-i2.github.io/slides/shbita19-mws-slides.pdf}
}

Teaching

• TA (Teaching Assistant) for DSCI 558: Building Knowledge Graphs (Graduate). Fall 2020 @ USC
• TA (Teaching Assistant) for CSCI 563/INF 558: Building Knowledge Graphs (Graduate). Spring 2020 @ USC
• Full Guest Lectures Delivered:
  • Linked Data and the Semantic Web (2020/11/02)
  • Queries in Knowledge Graphs (2020/09/14)
  • Knowledge Graph Embeddings (2020/03/09)

News

• 2025/01: I was spotlighted in "The new generation of ISI Ph.D.s", reflecting on my time & research at ISI.


• 2025/01: Published my first patent, Implementing Personal Knowledge Graphs (Publication No: 20250007723); The patent introduces systems and methods for creating and managing Personal Knowledge Graphs to organize user information into an integrated graph-based structure.


• 2024/12: As part of the Granite team at IBM research, we were recognized with an internal outstanding accomplishment award for our collective contributions to IBM's Granite 3 releases, IBM's series of open, high-performing, and enterprise-optimized language models (LLMs).


• 2024/11: Our team's work on Learning Semantic Descriptions of Tables was recently published as full paper at the 23rd International Semantic Web Conference (ISWC' 24).


• 2024/08: Served as program committee member (Industry track) in the 23rd International Semantic Web Conference (ISWC' 24).


• 2024/06: Joined IBM Research in Almaden, San Jose as a Research Scientist at the Enterprise Data & Governance for AI Models as part of IBM's Granite project. I will be working on knowledge graphs and data integration for LLMs in the domain of business transformation.


• 2024/05: Presented & published a paper on Constructing a Knowledge Graph of Historical Mining Data at the 6th International Workshop on Geospatial Linked Data (GeoLD) co-located with the 21st Extended Semantic Web Conference (ESWC' 2024).


• 2024/05: I was featured in "Parting Thoughts as Eight ISI Graduate Research Assistants Earn their Doctoral Degrees", celebrating the 2024 ISI GRA graduates.


• 2024/05: I successfully defended my PhD dissertation. I'm very grateful for the invaluable support & encouragement of my committee (Prof. Craig A. Knoblock [chair], Prof. Cyrus Shahabi, Prof. John P. Wilson, Prof. Jay Pujara, Prof. Yao-Yi Chiang).


• 2024/03: I was a guest on the AI/nsiders Podcast, discussing my views on AI and human knowledge in EPISODE 17 of the show.


• 2024/03: Served as a reviewer (Research track) in the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD' 24).


• 2024/02: Presented & published a paper on Automatically Constructing Geospatial Feature Taxonomies from OpenStreetMap Data at the 18th IEEE International Conference on Semantic Computing (ICSC' 24).


• 2023/12: We authored a comprehensive chapter titled GeoAI for the Digitization of Historical Maps in collaboration with UMN's Knowledge Computing Lab. This chapter is featured in the Handbook of Geospatial Artificial Intelligence.


• 2023/11: Our team's work on polygonal feature extraction for raster map understanding was recently published as full paper at the prestigious 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL' 23).


• 2023/08: Served as program committee member (Industry track) and reviewer (Research & In-use tracks) in the 22nd International Semantic Web Conference (ISWC' 23).


• 2023/05: My work last summer at IBM Research just got published at the 20th Extended Semantic Web Conference (ESWC' 23) which will be held in Hersonissos, Greece.


• 2023/04: Published journal paper Building Spatio-Temporal Knowledge Graphs from Vectorized Topographic Historical Maps in the Semantic Web journal!


• 2022/11: Served as program committee member (Industry track) in the The 2023 Web Conference (formerly known as International World Wide Web Conference or WWW).


• 2022/09: I was featured on USC Viterbi web article alongside my colleagues at USC ISI talking about my research internship experience at IBM this summer.


• 2022/07: Served as reviewer (Research track) & program committee member (Industry track) in the 21st International Semantic Web Conference (ISWC' 22).


• 2022/05: Joined IBM Research in Almaden, San Jose. I will be working on knowledge graphs and data integration in the domain of business transformation!


• 2022/05: My work last summer at GE Research just got published at the 16th International Symposium on Functional and Logic Programming (FLOPS' 22).


• 2022/04: Received the University Outstanding Teaching Assistant Award at USC's 41st Annual Academic Honors Convocation. This is the first time since 2017 that this university-wide award is given to a student in Viterbi & the first since the start of these awards in 1991 that the award goes to a student in computer science. So grateful!


• 2021/10: Served as reviewer in the 10th International Joint Conference on Knowledge Graphs (IJCKG' 21).


• 2021/09: I got featured (my favorite is @ 17:37) in the behind-the-scenes video of the Amazon Science's Alexa Prize Socialbot Grand Challenge 4.


• 2021/08: The Alexa Prize Socialbot Grand Challenge 4 has concluded. Although our socialbot Viola was not part of the finalists, we have come far as first-timer semi-finalists. Very proud of the team! Check out our system paper.


• 2021/06: We published 2 papers at the 2nd International Workshop on Knowledge Graph Construction at ESWC 2021: A short paper, and a demo paper. The projects were led by 2 excellent groups of CS MSc students at USC that I've had the honor to TA.


• 2021/05: Joined GE Research as a research fellow intern for 12 weeks this summer. I will be working at the Artificial Intelligence Technical Domain on a project at the intersection of Machine Learning, Knowledge Discovery, Semantic Web, and NLP.


• 2021/05: Passed my Ph.D. qualifying exam!


• 2021/01: I was featured on VoyageLA Magazine! I was really honored and excited to share my story.


• 2020/11: Happy to announce that our team from USC will be competing in the Alexa Prize Socialbot Grand Challenge 4, a multimillion-dollar university challenge focused on advancing human-computer interaction!


• 2020/06: Presented paper (talk) on Building Linked Spatio-Temporal Data from Vectorized Historical Maps at the 17th Extended Semantic Web Conference (ESWC' 20) which was held online (originally planned in Heraklion, Crete, Greece).


• 2019/09: Presented paper (talk) on Creating a FAIR Data Catalog to Support Scientific Modeling at AKTS 2019. A workshop co-located with the IEEE eScience Conference in San Diego, CA. Our work was referred to as "Science Fiction" by none other than Wikidata's founder; Read about it here!


• 2019/05: Presented paper (talk) and poster on Parsing, Representing and Transforming Units of Measure at MOMACS's 2019 Modeling the World's Systems Conference in Washington, D.C.


• 2018/12: Delivered a talk at Tira Talks 4 (a TEDx event held in my hometown). I talked about the importance of challenges, change, globalization, diversity and AI. I couldn't be more honored to stand in front of almost 500 people and contribute to the place where I grew-up.