{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:12Z","timestamp":1750220052797,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,1,4]],"date-time":"2023-01-04T00:00:00Z","timestamp":1672790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,1,4]]},"DOI":"10.1145\/3570991.3571061","type":"proceedings-article","created":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T04:13:03Z","timestamp":1672891983000},"page":"330-334","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Tutorial on Semantic Automation for Data Discovery"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0832-4689","authenticated-orcid":false,"family":"Rajmohan","sequence":"first","affiliation":[{"name":"IBM Research, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1912-1721","authenticated-orcid":false,"given":"Ritwik","family":"Chaudhuri","sequence":"additional","affiliation":[{"name":"IBM Research, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4604-1329","authenticated-orcid":false,"given":"Balaji","family":"Ganesan","sequence":"additional","affiliation":[{"name":"IBM Research, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4764-3583","authenticated-orcid":false,"given":"Anupam","family":"Sanghi","sequence":"additional","affiliation":[{"name":"IBM Research, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0715-4972","authenticated-orcid":false,"given":"Arvind","family":"Agarwal","sequence":"additional","affiliation":[{"name":"IBM Research, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9599-1526","authenticated-orcid":false,"given":"Sameep","family":"Mehta","sequence":"additional","affiliation":[{"name":"IBM Research, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,1,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of KDD cup and workshop, Vol.\u00a02007","author":"Bennett James","year":"2007","unstructured":"James Bennett, Stan Lanning, 2007. The netflix prize. In Proceedings of KDD cup and workshop, Vol.\u00a02007. Citeseer, 35."},{"key":"e_1_3_2_1_2_1","unstructured":"Vanya BK Balaji Ganesan Aniket Saxena Devbrat Sharma and Arvind Agarwal. 2021. Towards Automated Evaluation of Explanations in Graph Neural Networks. arxiv:2106.11864\u00a0[cs.AI]"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00067"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313685"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.14778\/3476311.3476346"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-019-00564-x"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems. 1877\u20131879","author":"Chaudhuri Ritwik","year":"2019","unstructured":"Ritwik Chaudhuri, Kushal Mukherjee, Ramasuri Narayanam, Rohith\u00a0Dwarakanath Vallam, Ayush Kumar, Antriksh Mathur, Shweta Garg, Sudhanshu Singh, and Gyana Parija. 2019. Collaborative reinforcement learning model for sustainability of cooperation in sequential social dilemmas. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems. 1877\u20131879."},{"key":"e_1_3_2_1_8_1","unstructured":"Code Engine. 2022. Code Engine. https:\/\/www.ibm.com\/cloud\/code-engine"},{"key":"e_1_3_2_1_9_1","unstructured":"Databrics Marketplace. [n.d.]. Databrics Marketplace. https:\/\/www.databricks.com\/"},{"key":"e_1_3_2_1_10_1","unstructured":"data.world. [n.d.]. data.world. https:\/\/data.world\/"},{"key":"e_1_3_2_1_11_1","unstructured":"Henrik Dibowski Stefan Schmid Yulia Svetashova Cory Henson and Tuan Tran. 2020. Using Semantic Technologies to Manage a Data Lake: Data Catalog Provenance and Access Control.. In SSWS@ ISWC. 65\u201380."},{"key":"e_1_3_2_1_12_1","volume-title":"RVCE Bengaluru and NIE Mysore, India","author":"Ganesan Balaji","year":"2020","unstructured":"Balaji Ganesan. 2020. Link Prediction in the Real World. Guest Lectures, RVCE Bengaluru and NIE Mysore, India (2020). https:\/\/balajinix.wordpress.com\/2020\/06\/09\/keep-on-learning\/"},{"key":"e_1_3_2_1_13_1","volume-title":"D\u2019Avatar Challenge. AMLD 2020 (2020","author":"Ganesan Balaji","year":"2020","unstructured":"Balaji Ganesan and Kalapriya Kannan. 2020. D\u2019Avatar Challenge. AMLD 2020 (2020). https:\/\/www.aicrowd.com\/challenges\/amld-2020-d-avatar-challenge"},{"key":"e_1_3_2_1_14_1","volume-title":"Explainable Link Prediction for Master Data Management","author":"Ganesan Balaji","year":"2020","unstructured":"Balaji Ganesan and Srinivas Parkala. 2020. Explainable Link Prediction for Master Data Management. IBM University Relations Webinar(2020). https:\/\/www.ibm.com\/in-en\/university\/academia-programs\/events\/explainable-link-prediciton-for-master-data-management\/?parent=workshops-conference&sct="},{"key":"e_1_3_2_1_15_1","volume-title":"Explainable Link Prediction for Master Data Management. NeurIPS 2020 Demo","author":"Ganesan Balaji","year":"2020","unstructured":"Balaji Ganesan, Matheen\u00a0Ahmed Pasha, Srinivas Parkala, Neeraj\u00a0R Singh, Gayatri Mishra, Jim O\u2019Neill, Sumit Bhatia, Hima Patel, Sameep Mehta, and Somashekar Naganna. 2020. Explainable Link Prediction for Master Data Management. NeurIPS 2020 Demo (2020). http:\/\/link-prediction-demo.mybluemix.net\/"},{"key":"e_1_3_2_1_16_1","unstructured":"Balaji Ganesan Avirup Saha Jaydeep Sen Matheen\u00a0Ahmed Pasha Sumit Bhatia and Arvind Agarwal. 2020. Anu question answering system. In ISWC (Demos\/Industry)."},{"key":"e_1_3_2_1_17_1","volume-title":"On Efficiently Processing Business Lineage Queries. In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 513\u2013522","author":"Gupta Himanshu","year":"2020","unstructured":"Himanshu Gupta, C Rajmohan, Sameep Mehta, and Kiran Pulapa. 2020. On Efficiently Processing Business Lineage Queries. In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 513\u2013522."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.14778\/3476311.3476317"},{"key":"e_1_3_2_1_19_1","unstructured":"IBM Watson Knowledge Catalog. [n.d.]. IBM Watson Knowledge Catalog. https:\/\/www.ibm.com\/cloud\/watson-knowledge-catalog"},{"key":"e_1_3_2_1_20_1","volume-title":"Annual Conference on Neural Information Processing Systems.","author":"Islam K\u00a0Mainul","year":"2021","unstructured":"SK\u00a0Mainul Islam, Abhinav Nagpal, Balaji Ganesan, and Pranay\u00a0Kumar Lohia. 2021. Fair Data Generation using Language Models with Hard Constraints. In Annual Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.842"},{"key":"e_1_3_2_1_22_1","unstructured":"Jenna Lau-Caruso and Lena Woolf. [n.d.]. IBM Semantic Search. https:\/\/medium.com\/@lwoolf_91808\/effortlessly-find-the-right-data-with-semantic-search-cdb2bd9593ac\/"},{"key":"e_1_3_2_1_23_1","unstructured":"Sameep Mehta and Hima Patel. 2020. Data Lifecycle Management Course. (2020)."},{"key":"e_1_3_2_1_24_1","unstructured":"Microsoft. [n.d.]. Power BI. https:\/\/powerbi.microsoft.com\/en-au\/"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3211954.3211958"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3383126"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.14778\/3352063.3352116"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3462462.3468881"},{"key":"e_1_3_2_1_29_1","unstructured":"Python Graph Gallery. 2022. Python Graph Gallery. https:\/\/www.python-graph-gallery.com\/"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00144"},{"key":"e_1_3_2_1_31_1","volume-title":"Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.","author":"Saha Avirup","year":"2021","unstructured":"Avirup Saha and Balaji Ganesan. 2021. Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining."},{"key":"e_1_3_2_1_32_1","unstructured":"Salesforce. 2022. Tableau. https:\/\/www.tableau.com\/"},{"key":"e_1_3_2_1_33_1","unstructured":"Snowflake Marketplace. [n.d.]. Snowflake Marketplace. https:\/\/www.snowflake.com\/en\/"},{"key":"e_1_3_2_1_34_1","unstructured":"Streampipe. 2022. Streampipe. https:\/\/steampipe.io\/"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Lingraj\u00a0S Vannur Balaji Ganesan Lokesh Nagalapatti Hima Patel and MN Thippeswamy. 2020. Data Augmentation for Personal Knowledge Base Population. arXiv preprint arXiv:2002.10943(2020).","DOI":"10.1007\/978-3-030-75015-2_15"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.14778\/2831360.2831371"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.09.040"}],"event":{"name":"CODS-COMAD 2023: 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)","acronym":"CODS-COMAD 2023","location":"Mumbai India"},"container-title":["Proceedings of the 6th Joint International Conference on Data Science &amp; Management of Data (10th ACM IKDD CODS and 28th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570991.3571061","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3570991.3571061","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:08:19Z","timestamp":1750183699000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570991.3571061"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,4]]},"references-count":37,"alternative-id":["10.1145\/3570991.3571061","10.1145\/3570991"],"URL":"https:\/\/doi.org\/10.1145\/3570991.3571061","relation":{},"subject":[],"published":{"date-parts":[[2023,1,4]]},"assertion":[{"value":"2023-01-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}