{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:10Z","timestamp":1750220470417,"version":"3.41.0"},"reference-count":14,"publisher":"Association for Computing Machinery (ACM)","issue":"Spring","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"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":["SIGWEB Newsl."],"published-print":{"date-parts":[[2021,3]]},"abstract":"<jats:p>This research identifies three practical problems in the existing scholarly recommendation systems, which leads to three research issues related to solution-oriented scientific knowledge recommendation that have not been addressed in the literature, including the lack of solution-oriented article recommendation, the lack of solution-oriented knowledge repositories, and the lack of weighted bibliometric network for ranking academic articles. Individual research could be conducted to address each issue, however this study proposes a knowledge fusion framework to collectively integrate multiple models which are specifically designed to solve each one of the issues respectively. The framework will be able to generate valuable knowledge repositories containing the solutions proposed in the mass scholarly articles to answer academic questions, and meanwhile it can rank these solutions based on weighted bibliometric networks.<\/jats:p>","DOI":"10.1145\/3460304.3460308","type":"journal-article","created":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T22:08:53Z","timestamp":1619647733000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards solution-oriented knowledge recommendation"],"prefix":"10.1145","volume":"2021","author":[{"given":"Yu","family":"Zhang","sequence":"first","affiliation":[{"name":"UNSW Canberra"}]},{"given":"Morteza","family":"Saberi","sequence":"additional","affiliation":[{"name":"UTS"}]},{"given":"Elizabeth","family":"Chang","sequence":"additional","affiliation":[{"name":"UNSW Canberra"}]}],"member":"320","published-online":{"date-parts":[[2021,4,28]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.03.012"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2012.02.004"},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the VLDB Endowment.","volume":"7","author":"Dong X. L.","unstructured":"Dong , X. L. , Gabrilovich , E. , Heitz , G. , Horn , W. , Murphy , K. , Sun , S. , and Zhang , W . 2014. From data fusion to knowledge fusion . In Proceedings of the VLDB Endowment. Vol. 7 . 881--892. Dong, X. L., Gabrilovich, E., Heitz, G., Horn, W., Murphy, K., Sun, S., and Zhang, W. 2014. From data fusion to knowledge fusion. In Proceedings of the VLDB Endowment. Vol. 7. 881--892."},{"volume-title":"Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing. 279--282","author":"Harrington B.","key":"e_1_2_1_4_1","unstructured":"Harrington , B. and Wojtinnek , P . 2011. Creating a standardized markup language for semantic networks . In Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing. 279--282 . Harrington, B. and Wojtinnek, P. 2011. Creating a standardized markup language for semantic networks. In Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing. 279--282."},{"volume-title":"Proceedings of the International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Springer, 11--20","author":"Kuo T. T.","key":"e_1_2_1_5_1","unstructured":"Kuo , T. T. , Tseng , S. S. , and Lin , Y. T . 2003. Ontology-based knowledge fusion framework using graph partitioning . In Proceedings of the International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Springer, 11--20 . Kuo, T. T., Tseng, S. S., and Lin, Y. T. 2003. Ontology-based knowledge fusion framework using graph partitioning. In Proceedings of the International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Springer, 11--20."},{"key":"e_1_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Lops P. De Gemmis M. and Semeraro G. 2011. Content-based recommender systems: State of the art and trends. In Recommender Systems Handbook. Springer 73--105.  Lops P. De Gemmis M. and Semeraro G. 2011. Content-based recommender systems: State of the art and trends. In Recommender Systems Handbook. Springer 73--105.","DOI":"10.1007\/978-0-387-85820-3_3"},{"key":"e_1_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Pazzani M. J. and Billsus D. 2007. Content-based recommendation systems. In The Adaptive Web. Springer 325--341.  Pazzani M. J. and Billsus D. 2007. Content-based recommendation systems. In The Adaptive Web. Springer 325--341.","DOI":"10.1007\/978-3-540-72079-9_10"},{"volume-title":"Proceedings of the 29th International FLAIRS Conference. 591--596","author":"Perez-Arriaga M. O.","key":"e_1_2_1_8_1","unstructured":"Perez-Arriaga , M. O. , Estrada , T. , and Abad-Mota , S . 2016. TAO: System for table detection and extraction from PDF documents . In Proceedings of the 29th International FLAIRS Conference. 591--596 . Perez-Arriaga, M. O., Estrada, T., and Abad-Mota, S. 2016. TAO: System for table detection and extraction from PDF documents. In Proceedings of the 29th International FLAIRS Conference. 591--596."},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2013.10.010"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-017-2262-9"},{"key":"e_1_2_1_11_1","volume-title":"Proceedings of the AAAI conference on artificial intelligence.","volume":"33","author":"Zhang Y.","unstructured":"Zhang , Y. , Saberi , M. , Wang , M. , and Chang , E . 2019. K3s: Knowledge-driven solution support system . In Proceedings of the AAAI conference on artificial intelligence. Vol. 33 . 9873--9874. Zhang, Y., Saberi, M., Wang, M., and Chang, E. 2019. K3s: Knowledge-driven solution support system. In Proceedings of the AAAI conference on artificial intelligence. Vol. 33. 9873--9874."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2019.03.013"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2019.00038"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-020-03683-3"}],"container-title":["ACM SIGWEB Newsletter"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460304.3460308","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460304.3460308","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:31Z","timestamp":1750193311000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460304.3460308"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":14,"journal-issue":{"issue":"Spring","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["10.1145\/3460304.3460308"],"URL":"https:\/\/doi.org\/10.1145\/3460304.3460308","relation":{},"ISSN":["1931-1745","1931-1435"],"issn-type":[{"type":"print","value":"1931-1745"},{"type":"electronic","value":"1931-1435"}],"subject":[],"published":{"date-parts":[[2021,3]]},"assertion":[{"value":"2021-04-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}