{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T12:53:34Z","timestamp":1672664014545},"reference-count":2,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Semantic Computing"],"published-print":{"date-parts":[[2016,12]]},"abstract":"<jats:p> This paper proposes a semantic computing application for a news delivering service collects and recommends news articles which user feels interested in based on semantic relations between terms in the articles. We define interested articles as the ones that users have curiosity and serendipity. The semantic relations between terms are represented by graphs of Linked Data. We first create News Articles Linked Data, which are news articles for recommendation to users and User\u2019s preferences Linked Data created from the users\u2019 preferred articles. Then, common subgraphs between two graphs are searched for the recommendation of news articles. The experiment showed that the curiosity score is 3.30 (min:0, max:4), and the serendipity score is 2.93 in our approach, but a baseline method indicated the curiosity score: 3.03 and the serendipity score: 2.79. Thus, we confirmed that our approach is more effective than the baseline method. In the future, we will deploy our semantic technology to practical use for automatically delivering information selected from a vast amount of news sources. <\/jats:p>","DOI":"10.1142\/s1793351x1640016x","type":"journal-article","created":{"date-parts":[[2017,1,20]],"date-time":"2017-01-20T08:52:48Z","timestamp":1484902368000},"page":"445-459","source":"Crossref","is-referenced-by-count":1,"title":["Semantics-Based News Delivering Service"],"prefix":"10.1142","volume":"10","author":[{"given":"Ryohei","family":"Yokoo","sequence":"first","affiliation":[{"name":"Graduate School of Information Systems, University of Electro-Communications, Tokyo 182-8585, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takahiro","family":"Kawamura","sequence":"additional","affiliation":[{"name":"Graduate School of Information Systems, University of Electro-Communications, Tokyo 182-8585, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akihiko","family":"Ohsuga","sequence":"additional","affiliation":[{"name":"Graduate School of Information Systems, University of Electro-Communications, Tokyo 182-8585, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,1,20]]},"reference":[{"key":"S1793351X1640016XBIB003","doi-asserted-by":"publisher","DOI":"10.1504\/IJIIDS.2012.045117"},{"issue":"4","key":"S1793351X1640016XBIB010","first-page":"736","volume":"9","author":"Matsubayashi Y.","year":"2014","journal-title":"Information and Media Technologies"}],"container-title":["International Journal of Semantic Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1793351X1640016X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:17:02Z","timestamp":1565147822000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1793351X1640016X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":2,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2017,1,20]]},"published-print":{"date-parts":[[2016,12]]}},"alternative-id":["10.1142\/S1793351X1640016X"],"URL":"https:\/\/doi.org\/10.1142\/s1793351x1640016x","relation":{},"ISSN":["1793-351X","1793-7108"],"issn-type":[{"value":"1793-351X","type":"print"},{"value":"1793-7108","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12]]}}}