{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:22:01Z","timestamp":1742926921263,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031359682"},{"type":"electronic","value":"9783031359699"}],"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\/978-3-031-35969-9_7","type":"book-chapter","created":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T21:02:09Z","timestamp":1689886929000},"page":"87-101","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Introduction to Ontologies for Defense Business Analytics"],"prefix":"10.1007","author":[{"given":"Bethany","family":"Taylor","sequence":"first","affiliation":[]},{"given":"Christianne","family":"Izumigawa","sequence":"additional","affiliation":[]},{"given":"Jonathan","family":"Sato","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,17]]},"reference":[{"issue":"6","key":"7_CR1","doi-asserted-by":"publisher","first-page":"3901","DOI":"10.1007\/s10462-019-09782-9","volume":"53","author":"FN Al-Aswadi","year":"2019","unstructured":"Al-Aswadi, F.N., Chan, H.Y., Gan, K.H.: Automatic ontology construction from text: a review from shallow to deep learning trend. Artif. Intell. Rev. 53(6), 3901\u20133928 (2019). https:\/\/doi.org\/10.1007\/s10462-019-09782-9","journal-title":"Artif. Intell. Rev."},{"issue":"2","key":"7_CR2","first-page":"18","volume":"8","author":"E Alatrish","year":"2013","unstructured":"Alatrish, E.: Comparison some of ontology editors. J. Manag. Inf. Syst. 8(2), 18\u201324 (2013)","journal-title":"J. Manag. Inf. Syst."},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Sci. Am. 284(5),\u00a0 34\u201343 (2001). http:\/\/www.jstor.org\/stable\/26059207","DOI":"10.1038\/scientificamerican0501-34"},{"key":"7_CR4","unstructured":"Booz Allen Hamilton Inc.: Overcoming Obstacles to Data Integration for Defense. Perspectives (2022). https:\/\/www.boozallen.com\/insights\/defense\/overcoming-obstacles-to-data-integration-for-defense.html"},{"key":"7_CR5","unstructured":"Bowman, M., Lopez, A., Tecuci, G.: Ontology development for military applications. In: Proceedings of the SouthEastern Regional ACM Conference, Atlanta, GA (2001)"},{"key":"7_CR6","unstructured":"Buraga, S., Cojocaru, L., Nichifor, O.: Survey on web ontology editing tools. Transactions Automatic Control Computer Science, pp. 1\u20136 (2006)"},{"issue":"7","key":"7_CR7","first-page":"818","volume":"32","author":"W Chergui","year":"2020","unstructured":"Chergui, W., Zidat, S., Marir, F.: An approach to the acquisition of tacit knowledge based on an ontological model. J. King Saud Univ. \u2013 Comput. Inf. Sci. 32(7), 818\u2013828 (2020)","journal-title":"J. King Saud Univ. \u2013 Comput. Inf. Sci."},{"issue":"1","key":"7_CR8","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1080\/2573234X.2018.1507324","volume":"1","author":"D Delen","year":"2018","unstructured":"Delen, D., Ram, S.: Research challenges and opportunities in business analytics. J. Bus. Analytics 1(1), 2\u201312 (2018). https:\/\/doi.org\/10.1080\/2573234X.2018.1507324","journal-title":"J. Bus. Analytics"},{"key":"7_CR9","unstructured":"DIA Public Affairs.: GAMECHANGER: Where policy meets AI. Defense Intelligence Agency (2022)"},{"key":"7_CR10","doi-asserted-by":"publisher","unstructured":"Drissi, A., Khemiri, A., Sassi, S., Chbeir, R.: A new automatic ontology construction method based on machine learning techniques: application on financial corpus. In: Proceedings of the 13th International Conference on Management of Digital EcoSystems, pp. 57\u201361.\u00a0Association for Computing Machinery (2021). https:\/\/doi.org\/10.1145\/3444757.3485111","DOI":"10.1145\/3444757.3485111"},{"key":"7_CR11","unstructured":"Ehrlinger, L., Wolfram, W.: Towards a definition of knowledge graphs. In: 12th International Conference on Semantic Systems (2016)"},{"key":"7_CR12","unstructured":"Eppler, M., Burkhard, R.: Knowledge visualization: towards a new discipline and its fields of application. Universit\u00e0 della Svizzera italiana (2004)"},{"key":"7_CR13","doi-asserted-by":"publisher","unstructured":"Galkin, M., Auer, S., Kim, H., Scerri, S.: Integration strategies for enterprise knowledge graphs. In: 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), pp. 242\u2013245. Laguna Hills, CA, USA (2016).\u00a0https:\/\/doi.org\/10.1109\/ICSC.2016.24","DOI":"10.1109\/ICSC.2016.24"},{"key":"7_CR14","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.4461265","author":"M Grootendorst","year":"2020","unstructured":"Grootendorst, M.: KeyBERT: Minimal keyword extraction with BERT. Zenodo (2020). https:\/\/doi.org\/10.5281\/zenodo.4461265","journal-title":"Zenodo"},{"key":"7_CR15","doi-asserted-by":"publisher","unstructured":"Hogan, A et al.: Knowledge Graphs. Assoc. Comput. Mach. 54(4), 3447772 (2021).\u00a0https:\/\/doi.org\/10.1145\/3447772","DOI":"10.1145\/3447772"},{"key":"7_CR16","doi-asserted-by":"publisher","unstructured":"Honnibal, M., Montani, I., Van Landeghem, S., Boyd, A.: spaCy: Industrial-strength Natural Language Processing in Python (2020). https:\/\/doi.org\/10.5281\/zenodo.1212303","DOI":"10.5281\/zenodo.1212303"},{"key":"7_CR17","unstructured":"JAIC Public Affairs: Meet the Gamechanging App That Uses AI to Simplify DoD Policy Making. Chief Digital and Artificial Intelligence Office (2021)"},{"key":"7_CR18","unstructured":"Jasper, R., Uschold, M. A framework for understanding and classifying ontology applications. In: Proceedings 12th International Workshop on Knowledge Acquisition, Modelling, and Management KAW 99, pp. 16\u201321 (1999)"},{"issue":"5","key":"7_CR19","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/MITP.2009.105","volume":"11","author":"TC Jepsen","year":"2009","unstructured":"Jepsen, T.C.: Just what is an ontology, anyway? IT Profess. 11(5), 22\u201327 (2009)","journal-title":"IT Profess."},{"key":"7_CR20","first-page":"124","volume":"88","author":"G Katsos","year":"2018","unstructured":"Katsos, G.: Department of defense terminology program. J. Force Q. 88, 124\u2013127 (2018)","journal-title":"J. Force Q."},{"issue":"4","key":"7_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/bib\/bbaa199","volume":"22","author":"M Kulmanov","year":"2021","unstructured":"Kulmanov, M., Smaili, F., Gao, X., Hoehndorf, R.: Semantic similarity and machine learning with ontologies. Brief. Bioinform. 22(4), 1\u201318 (2021)","journal-title":"Brief. Bioinform."},{"key":"7_CR22","unstructured":"Lin, G.: Meet Advana: How the department of defense solved its data interoperability challenges. Government Technology Insider (2021)"},{"issue":"1","key":"7_CR23","first-page":"110","volume":"38","author":"A Mohammad","year":"2012","unstructured":"Mohammad, A., Al-Saiyd, N.: Guidelines for tacit knowledge acquisition. J. Theor. Appl. Inf. Technol. 38(1), 110\u2013118 (2012)","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"7_CR24","doi-asserted-by":"publisher","unstructured":"Musen, M.: The Prot\u00e9g\u00e9 project: a look back and a look forward. AI Matters. Assoc. Comput. Mach. Specific Interest Group Artif. Intell. 1(4), 25757003 (2015).\u00a0https:\/\/doi.org\/10.1145\/2557001.25757003","DOI":"10.1145\/2557001.25757003"},{"issue":"2","key":"7_CR25","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1145\/3329781.3332266","volume":"17","author":"N Noy","year":"2019","unstructured":"Noy, N., Gao, Y., Jain, A., Narayanan, A., Patterson, A., Taylor, J.: Industry-scale knowledge graphs: lessons and challenges: five diverse technology companies show how it\u2019s done. Assoc. Comput. Mach. 17(2), 48\u201375 (2019). https:\/\/doi.org\/10.1145\/3329781.3332266","journal-title":"Assoc. Comput. Mach."},{"key":"7_CR26","unstructured":"Noy, N., McGuinness, D.: Ontology development 101: a guide to creating your first ontology.\u00a0\u00a0Stanford Knowledge Systems Lab (2001)"},{"key":"7_CR27","unstructured":"Office of the Under Secretary of Defense (Comptroller) (OUSD(C)): Advana \u2013 Common Enterprise Data Repository for the Department of Defense. Department of Defense Financial Management Regulation (DoD FMR) 1(10) (2020)"},{"key":"7_CR28","volume-title":"About WordNet","author":"Princeton University","year":"2010","unstructured":"Princeton University: About WordNet. Princeton University, WordNet (2010)"},{"key":"7_CR29","unstructured":"Sherman, J.: Guidance on Software Development and Open Source Software. U.S. Department of Defense (2022)"},{"issue":"4","key":"7_CR30","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1108\/13673270110411733","volume":"5","author":"E Smith","year":"2001","unstructured":"Smith, E.: The role of tacit and explicit knowledge in the workplace. J. Knowl. Manag. 5(4), 311\u2013321 (2001)","journal-title":"J. Knowl. Manag."},{"key":"7_CR31","unstructured":"Valeontis, K., Mantzari, E.: The linguistic dimension of terminology: principles and methods of term formation. In: 1st Athens International Conference on Translation and Interpretation Translation: Between Art and Social Science, pp. 13\u201314 (2006)"},{"key":"7_CR32","unstructured":"Yu, J., McCluskey, K., Mukherjee, S.: Tax knowledge graph for a smarter and more personalized TurboTax. arXiv (2020)"}],"container-title":["Lecture Notes in Computer Science","HCI in Business, Government and Organizations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35969-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:20:40Z","timestamp":1710361240000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35969-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031359682","9783031359699"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35969-9_7","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":"17 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","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":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 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":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","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":"1578","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":"396","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":"21% - 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":"2","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)"}}]}}