{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T09:26:11Z","timestamp":1742981171945,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819980871"},{"type":"electronic","value":"9789819980888"}],"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\/978-981-99-8088-8_15","type":"book-chapter","created":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T05:02:07Z","timestamp":1701234127000},"page":"170-179","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Scholarly Knowledge Graph Construction from\u00a0Published Software Packages"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5071-1658","authenticated-orcid":false,"given":"Muhammad","family":"Haris","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0698-2864","authenticated-orcid":false,"given":"S\u00f6ren","family":"Auer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5492-3212","authenticated-orcid":false,"given":"Markus","family":"Stocker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,30]]},"reference":[{"key":"15_CR1","unstructured":"Abdelaziz, I., Srinivas, K., Dolby, J., McCusker, J.P.: A demonstration of codebreaker: a machine interpretable knowledge graph for code. In: SEMWEB (2020)"},{"key":"15_CR2","doi-asserted-by":"publisher","unstructured":"Ahmad, W., Chakraborty, S., Ray, B., Chang, K.W.: A transformer-based approach for source code summarization. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 4998\u20135007. Association for Computational Linguistics (2020). https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.449","DOI":"10.18653\/v1\/2020.acl-main.449"},{"key":"15_CR3","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1089\/big.2014.0068","volume":"2","author":"J Hendler","year":"2014","unstructured":"Hendler, J.: Data integration for heterogenous datasets. Big Data 2, 205\u2013215 (2014). https:\/\/doi.org\/10.1089\/big.2014.0068","journal-title":"Big Data"},{"key":"15_CR4","unstructured":"Husain, H., Wu, H.H., Gazit, T., Allamanis, M., Brockschmidt, M.: Codesearchnet challenge: evaluating the state of semantic code search (2020). https:\/\/www.microsoft.com\/en-us\/research\/publication\/codesearchnet-challenge-evaluating-the-state-of-semantic-code-search\/"},{"key":"15_CR5","doi-asserted-by":"publisher","unstructured":"Iyer, S., Konstas, I., Cheung, A., Zettlemoyer, L.: Summarizing source code using a neural attention model. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2073\u20132083. Association for Computational Linguistics (2016). https:\/\/doi.org\/10.18653\/v1\/P16-1195","DOI":"10.18653\/v1\/P16-1195"},{"issue":"4","key":"15_CR6","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1162\/qss_a_00167","volume":"2","author":"A Kelley","year":"2021","unstructured":"Kelley, A., Garijo, D.: A framework for creating knowledge graphs of scientific software metadata. Quant. Sci. Stud. 2(4), 1423\u20131446 (2021). https:\/\/doi.org\/10.1162\/qss_a_00167","journal-title":"Quant. Sci. Stud."},{"key":"15_CR7","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: International Conference on Machine Learning, pp. 1188\u20131196. PMLR (2014)"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Mancini, F., Zhang, S., Seymour, B.: Learning the statistics of pain: computational and neural mechanisms. BioRxiv 2021\u201310 (2021)","DOI":"10.1101\/2021.10.21.465270"},{"key":"15_CR9","doi-asserted-by":"publisher","unstructured":"Mancini, F., Zhang, S., Seymour, B.: Computational and neural mechanisms of statistical pain learning (2022). https:\/\/doi.org\/10.5281\/zenodo.6997897","DOI":"10.5281\/zenodo.6997897"},{"key":"15_CR10","doi-asserted-by":"publisher","unstructured":"Mao, A., Garijo, D., Fakhraei, S.: SoMEF: a framework for capturing scientific software metadata from its documentation. In: 2019 IEEE International Conference on Big Data (Big Data), pp. 3032\u20133037 (2019). https:\/\/doi.org\/10.1109\/BigData47090.2019.9006447","DOI":"10.1109\/BigData47090.2019.9006447"},{"key":"15_CR11","doi-asserted-by":"publisher","unstructured":"Reza, S.M., Badreddin, O., Rahad, K.: ModelMine: a tool to facilitate mining models from open source repositories. In: Association for Computing Machinery, New York, NY, USA (2020). https:\/\/doi.org\/10.1145\/3417990.3422006","DOI":"10.1145\/3417990.3422006"},{"key":"15_CR12","doi-asserted-by":"publisher","unstructured":"Spadini, D., Aniche, M., Bacchelli, A.: Pydriller: Python framework for mining software repositories. ESEC\/FSE 2018, New York, NY, USA, pp. 908\u2013911. Association for Computing Machinery (2018). https:\/\/doi.org\/10.1145\/3236024.3264598","DOI":"10.1145\/3236024.3264598"},{"key":"15_CR13","doi-asserted-by":"publisher","unstructured":"Vagavolu, D., Swarna, K.C., Chimalakonda, S.: A mocktail of source code representations. In: 2021 36th IEEE\/ACM International Conference on Automated Software Engineering (ASE), pp. 1296\u20131300 (2021). https:\/\/doi.org\/10.1109\/ASE51524.2021.9678551","DOI":"10.1109\/ASE51524.2021.9678551"},{"issue":"2","key":"15_CR14","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1080\/02723646.1981.10642213","volume":"2","author":"CJ Willmott","year":"1981","unstructured":"Willmott, C.J.: On the validation of models. Phys. Geography 2(2), 184\u2013194 (1981). https:\/\/doi.org\/10.1080\/02723646.1981.10642213","journal-title":"Phys. Geography"}],"container-title":["Lecture Notes in Computer Science","Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8088-8_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T05:04:20Z","timestamp":1701234260000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8088-8_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819980871","9789819980888"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8088-8_15","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":"30 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICADL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Asian Digital Libraries","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","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":"4 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icadl2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icadl.net\/icadl2023\/index.html","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":"85","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":"15","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":"17","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":"18% - 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":"3,01","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":"1,92","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2 practice papers and 12 poster papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}