{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:06:08Z","timestamp":1743084368072,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031477447"},{"type":"electronic","value":"9783031477454"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-47745-4_12","type":"book-chapter","created":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T20:01:50Z","timestamp":1698696110000},"page":"151-167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Semantic Typing of\u00a0Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study"],"prefix":"10.1007","author":[{"given":"Xinyu","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiancheng","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diantian","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zijue","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruyue","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mayank","family":"Kejriwal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,31]]},"reference":[{"key":"12_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-12375-8","volume-title":"Domain-Specific Knowledge Graph Construction","author":"M Kejriwal","year":"2019","unstructured":"Kejriwal, M.: Domain-Specific Knowledge Graph Construction. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-12375-8"},{"key":"12_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-36501-5","volume-title":"Ontology Alignment: Bridging the Semantic Gap","author":"M Ehrig","year":"2006","unstructured":"Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap. Springer, New York (2006). https:\/\/doi.org\/10.1007\/978-0-387-36501-5"},{"key":"12_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2021.103497","volume":"131","author":"M Kejriwal","year":"2021","unstructured":"Kejriwal, M., Shen, K., Ni, C.-C., Torzec, N.: An evaluation and annotation methodology for product category matching in e-commerce. Comput. Ind. 131, 103497 (2021)","journal-title":"Comput. Ind."},{"issue":"2","key":"12_CR4","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/S0957-4174(03)00138-6","volume":"26","author":"YH Cho","year":"2004","unstructured":"Cho, Y.H., Kim, J.K.: Application of web usage mining and product taxonomy to collaborative recommendations in e-commerce. Expert Syst. Appl. 26(2), 233\u2013246 (2004)","journal-title":"Expert Syst. Appl."},{"key":"12_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104548","volume":"108","author":"M Kejriwal","year":"2022","unstructured":"Kejriwal, M., Shen, K., Ni, C.-C., Torzec, N.: Transfer-based taxonomy induction over concept labels. Eng. Appl. Artif. Intell. 108, 104548 (2022)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Zhang, W., Cao, H., Lin, L.: Analysis of the future development trend of the pet industry. In: 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022), pp. 1682\u20131689. Atlantis Press (2022)","DOI":"10.2991\/aebmr.k.220307.275"},{"issue":"1","key":"12_CR7","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1257\/jep.15.1.69","volume":"15","author":"Y Bakos","year":"2001","unstructured":"Bakos, Y.: The emerging landscape for retail e-commerce. J. Econ. Perspect. 15(1), 69\u201380 (2001)","journal-title":"J. Econ. Perspect."},{"key":"12_CR8","unstructured":"Nakashole, N., Tylenda, T., Weikum, G.: Fine-grained semantic typing of emerging entities. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1488\u20131497 (2013)"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Kejriwal, M., Szekely, P.: Supervised typing of big graphs using semantic embeddings. In: Proceedings of the International Workshop on Semantic Big Data, pp. 1\u20136 (2017)","DOI":"10.1145\/3066911.3066918"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Kapoor, R., Kejriwal, M., Szekely, P.: Using contexts and constraints for improved geotagging of human trafficking webpages. In: Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, pp. 1\u20136 (2017)","DOI":"10.1145\/3080546.3080547"},{"issue":"1","key":"12_CR11","first-page":"20","volume":"4","author":"M Kejriwal","year":"2017","unstructured":"Kejriwal, M., Szekely, P.: Scalable generation of type embeddings using the ABox. Open J. Semant. Web (OJSW) 4(1), 20\u201334 (2017)","journal-title":"Open J. Semant. Web (OJSW)"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Gene Ontology Consortium: Creating the gene ontology resource: design and implementation. Genome Res. 11(8), 1425\u20131433 (2001)","DOI":"10.1101\/gr.180801"},{"key":"12_CR13","volume-title":"Knowledge Graphs: Fundamentals, Techniques, and Applications","author":"M Kejriwal","year":"2021","unstructured":"Kejriwal, M., Knoblock, C.A., Szekely, P.: Knowledge Graphs: Fundamentals, Techniques, and Applications. MIT Press, Cambridge (2021)"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Dong, X.L.: Challenges and innovations in building a product knowledge graph. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2869\u20132869 (2018)","DOI":"10.1145\/3219819.3219938"},{"issue":"4","key":"12_CR15","doi-asserted-by":"publisher","first-page":"150","DOI":"10.3390\/info10040150","volume":"10","author":"K Kowsari","year":"2019","unstructured":"Kowsari, K., Jafari Meimandi, K., Heidarysafa, M., Mendu, S., Barnes, L., Brown, D.: Text classification algorithms: a survey. Information 10(4), 150 (2019)","journal-title":"Information"},{"issue":"3","key":"12_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3439726","volume":"54","author":"S Minaee","year":"2021","unstructured":"Minaee, S., Kalchbrenner, N., Cambria, E., Nikzad, N., Chenaghlu, M., Gao, J.: Deep learning-based text classification: a comprehensive review. ACM Comput. Surv. (CSUR) 54(3), 1\u201340 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"12_CR17","unstructured":"Grandini, M., Bagli, E., Visani, G.: Metrics for multi-class classification: an overview. arXiv preprint arXiv:2008.05756 (2020)"},{"key":"12_CR18","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108 (2019)"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Gheini, M., Kejriwal, M.: Unsupervised product entity resolution using graph representation learning. In: eCOM@ SIGIR (2019)","DOI":"10.1007\/978-3-030-12375-8_3"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Sarawagi, S., et al.: Information extraction. Found. Trends\u00ae Databases 1(3), 261\u2013377 (2008)","DOI":"10.1561\/1900000003"},{"key":"12_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpa.2020.100052","volume":"7","author":"M Kejriwal","year":"2021","unstructured":"Kejriwal, M.: A meta-engine for building domain-specific search engines. Softw. Impacts 7, 100052 (2021)","journal-title":"Softw. Impacts"}],"container-title":["Lecture Notes in Computer Science","Knowledge Graphs and Semantic Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47745-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T20:06:02Z","timestamp":1698696362000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47745-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031477447","9783031477454"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47745-4_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KGSWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Knowledge Graphs and Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zaragoza","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"kgswc2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.kgswc.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}