{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T00:13:06Z","timestamp":1756253586732,"version":"3.44.0"},"reference-count":46,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T00:00:00Z","timestamp":1671062400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SW"],"published-print":{"date-parts":[[2022,12,15]]},"abstract":"<jats:p>Graph-based semantic measures have been used to solve problems in several domains. They tend to compare semantic entities in order to estimate their similarity or relatedness. While semantic similarity is applicable to hierarchies or taxonomies, semantic relatedness is adapted to ontologies. In this work, we propose a novel semantic relatedness measure, named Rel Topic , within topic ontologies for topic labeling purposes. In contrast to traditional measures, which are dependent on textual resources, Rel Topic considers semantic properties of entities in ontologies. Thus, correlations of nodes and weights of nodes and edges are assessed. The pertinence of Rel Topic is evaluated for topic labeling of old press articles. For this purpose, a topic ontology representing the articles, named Topic-OPA, is derived from open knowledge graphs by applying a SPARQL-based automatic approach. A use-case is presented in the context of the old French newspaper Le Matin. The generated topics are evaluated using a dual evaluation approach with the help of human annotators. Our approach shows an agreement quite close to that shown by humans. The entire approach\u2019s reuse is demonstrated for labeling a different context of articles, recent (modern) newspapers.<\/jats:p>","DOI":"10.3233\/sw-222919","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T11:39:06Z","timestamp":1662118746000},"page":"293-321","source":"Crossref","is-referenced-by-count":1,"title":["Rel Topic : A graph-based semantic relatedness measure in topic ontologies and its applicability for topic labeling of old press articles"],"prefix":"10.1177","volume":"14","author":[{"given":"Mirna","family":"El Ghosh","sequence":"first","affiliation":[{"name":"LITIS, Normandie Universit\u00e9, INSA Rouen, 76000 Rouen, France"}]},{"given":"Nicolas","family":"Delestre","sequence":"additional","affiliation":[{"name":"LITIS, Normandie Universit\u00e9, INSA Rouen, 76000 Rouen, France"}]},{"given":"Jean-Philippe","family":"Kotowicz","sequence":"additional","affiliation":[{"name":"LITIS, Normandie Universit\u00e9, INSA Rouen, 76000 Rouen, France"}]},{"given":"Cecilia","family":"Zanni-Merk","sequence":"additional","affiliation":[{"name":"LITIS, Normandie Universit\u00e9, INSA Rouen, 76000 Rouen, France"}]},{"given":"Habib","family":"Abdulrab","sequence":"additional","affiliation":[{"name":"LITIS, Normandie Universit\u00e9, INSA Rouen, 76000 Rouen, France"}]}],"member":"179","reference":[{"issue":"9","key":"10.3233\/SW-222919_ref1","doi-asserted-by":"publisher","first-page":"335","DOI":"10.14569\/IJACSA.2017.080947","article-title":"A knowledge-based topic modeling approach for automatic topic labeling","volume":"8","author":"Allahyari","year":"2017","journal-title":"International Journal of Advanced Computer Science and Applications"},{"key":"10.3233\/SW-222919_ref2","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"Andrew","year":"2003","journal-title":"The Journal of Machine Learning Research"},{"key":"10.3233\/SW-222919_ref3","unstructured":"S.\u00a0Banerjee and T.\u00a0Pedersen, Extended gloss overlaps as a measure of semantic relatedness, in: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, 2003, pp.\u00a0805\u2013810."},{"key":"10.3233\/SW-222919_ref4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1090\/qam\/102435","article-title":"On a routing problem","volume":"16","author":"Bellman","year":"1958","journal-title":"Quarterly of Applied Mathematics"},{"key":"10.3233\/SW-222919_ref5","unstructured":"A.\u00a0Bielefeldt, J.\u00a0Gonsior and M.\u00a0Krotzsch, Practical linked data access via SPARQL: The case of Wikidata, in: Proceedings of the WWW2018 Workshop on Linked Data on the Web (LDOW-18), CEUR Workshop Proceedings, 2018."},{"key":"10.3233\/SW-222919_ref6","unstructured":"K.\u00a0B\u00f6hm and M.\u00a0Ortiz, A tool for building topic-specific ontologies using a knowledge graph, in: Proceedings of the 31st International Workshop on Description Logics Co-Located with KR 2018, 2018."},{"key":"10.3233\/SW-222919_ref7","unstructured":"J.\u00a0Brank, M.\u00a0Grobelnik and D.\u00a0Mladeni\u0107, A survey of ontology evaluation techniques, in: Proceedings of the Conference on Data Mining and Data Warehouses (SiKDD 2005), 2005."},{"key":"10.3233\/SW-222919_ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2684822.2697032"},{"key":"10.3233\/SW-222919_ref10","unstructured":"K.\u00a0Dellschaft and S.\u00a0Staab, Strategies for the evaluation of ontology learning, in: Proceedings of the 2008 Conference on Ontology Learning and Population: Bridging the Gap Between Text and Knowledge, Frontiers in Artificial Intelligence and Applications, 2008, pp.\u00a0253\u2013272."},{"key":"10.3233\/SW-222919_ref11","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/BF01386390","article-title":"A note on two problems in connexion with graphs","volume":"1","author":"Dijkstra","year":"1959","journal-title":"Numerische Mathematik"},{"key":"10.3233\/SW-222919_ref12","doi-asserted-by":"publisher","DOI":"10.5220\/0010147202750282"},{"key":"10.3233\/SW-222919_ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11964-9_4"},{"key":"10.3233\/SW-222919_ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38721-0"},{"key":"10.3233\/SW-222919_ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-10871-6_5"},{"key":"10.3233\/SW-222919_ref16","unstructured":"S.\u00a0Fernando and M.\u00a0Stevenson, A semantic similarity approach to para-phrase detection, in: Proceedings of Computational Linguistics Colloquium, U.K., 2008, pp.\u00a045\u201352."},{"issue":"83","key":"10.3233\/SW-222919_ref17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-015-0513-4","article-title":"USI: A fast and accurate approach for conceptual document annotation","volume":"16","author":"Fiorini","year":"2015","journal-title":"BMC Bioinformatics"},{"issue":"5","key":"10.3233\/SW-222919_ref18","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1093\/bib\/bbr066","article-title":"Semantic similarity analysis of protein data: Assessment with biological features and issues","volume":"13","author":"Guzzi","year":"2012","journal-title":"Briefings, Bioinformatics"},{"key":"10.3233\/SW-222919_ref19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00639ED1V01Y201504HLT027","article-title":"Semantic similarity from natural language and ontology analysis","volume":"8","author":"Harispe","year":"2015","journal-title":"Synth. Lect. Hum. Lang. Technol"},{"key":"10.3233\/SW-222919_ref20","first-page":"1","article-title":"Consistently weighted measures for complex network topologies","volume":"85","author":"Heitzig","year":"2011","journal-title":"Europ. Phys. J. B."},{"key":"10.3233\/SW-222919_ref21","doi-asserted-by":"crossref","unstructured":"G.\u00a0Hirst and D.\u00a0St-Onge, Lexical chains as representations of context for the detection and correction of malapropisms, in: WordNet: An Electronic Lexical Database, 1998, pp.\u00a0305\u2013332.","DOI":"10.7551\/mitpress\/7287.003.0020"},{"key":"10.3233\/SW-222919_ref22","doi-asserted-by":"publisher","DOI":"10.1145\/312624.312649"},{"key":"10.3233\/SW-222919_ref23","unstructured":"J.\u00a0Jiang and D.\u00a0Conrath, Semantic similarity based on corpus statistics and lexical taxonomy, in: Proc. on International Conference on Research in Computational Linguistics, Taiwan, 1997, pp.\u00a019\u201333."},{"key":"10.3233\/SW-222919_ref24","unstructured":"J.H.\u00a0Lau, K.\u00a0Grieser, D.\u00a0Newman and T.\u00a0Baldwin, Automatic labelling of topic models, in: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011, pp.\u00a01536\u20131545."},{"key":"10.3233\/SW-222919_ref25","unstructured":"C.\u00a0Leacock and M.\u00a0Chodorow, Filling in a sparse training space for word sense identification, in: Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1995, pp.\u00a0448\u2013453."},{"key":"10.3233\/SW-222919_ref26","unstructured":"D.\u00a0Lin, An information-theoretic definition of similarity, in: Proceedings of the Fifteenth International Conference on Machine Learning, ICML, 1998, pp.\u00a0296\u2013304."},{"key":"10.3233\/SW-222919_ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2110363.2110405"},{"key":"10.3233\/SW-222919_ref28","unstructured":"A.G.\u00a0Maguitman, R.L.\u00a0Cecchini, C.M.\u00a0Lorenzetti and F.\u00a0Menczer, Using topic ontologies and semantic similarity data to evaluate topical search, in: Proceedings of 36th Latin American Informatics Conference (CLEI), 2010."},{"key":"10.3233\/SW-222919_ref29","doi-asserted-by":"crossref","unstructured":"S.\u00a0Malyshev, M.\u00a0Krotzsch, L.\u00a0Gonzalez, J.\u00a0Gonsior and A.\u00a0Bielefeldt, Getting the most out of Wikidata: Semantic technology usage in Wikipedia\u2019s knowledge graph, in: Proceedings of the 17th International Semantic Web Conference (ISWC\u201918), LNCS, Springer, 2018, pp.\u00a0376\u2013394.","DOI":"10.1007\/978-3-030-00668-6_23"},{"key":"10.3233\/SW-222919_ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978--3-540-88564-1_43"},{"key":"10.3233\/SW-222919_ref31","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.6201279"},{"issue":"3","key":"10.3233\/SW-222919_ref32","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.socnet.2010.03.006","article-title":"Node centrality in weighted networks: Generalizing degree and shortest paths","volume":"32","author":"Opsahl","year":"2010","journal-title":"Social Networks"},{"key":"10.3233\/SW-222919_ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25007-6_24"},{"issue":"3","key":"10.3233\/SW-222919_ref34","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.jbi.2006.06.004","article-title":"Measures of semantic similarity and relatedness in the biomedical domain","volume":"40","author":"Pedersen","year":"2007","journal-title":"Journal of Biomedical Informatics"},{"key":"10.3233\/SW-222919_ref35","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/21.24528","article-title":"Development and application of a metric on semantic nets","volume":"19","author":"Rada","year":"1989","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"},{"key":"10.3233\/SW-222919_ref36","unstructured":"P.\u00a0Resnik, Using information content to evaluate semantic similarity in a taxonomy, in: 14th International Joint Conference on Artificial Intelligence, 1995, pp.\u00a0448\u2013453."},{"key":"10.3233\/SW-222919_ref37","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1613\/jair.514","article-title":"Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language","volume":"11","author":"Resnik","year":"1998","journal-title":"J. Artif. Intell. Res."},{"key":"10.3233\/SW-222919_ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00668-6_12"},{"key":"10.3233\/SW-222919_ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30760-8_26"},{"key":"10.3233\/SW-222919_ref40","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.engappai.2014.11.012","article-title":"Semantic variance: An intuitive measure for ontology accuracy evaluation","volume":"39","author":"Sanchez","year":"2015","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.3233\/SW-222919_ref41","unstructured":"J.\u00a0Sleeman, T.\u00a0Finin and M.\u00a0Halem, Ontology-grounded topic modeling for climate science research, in: Proceedings of Semantic Web for Social Good Workshop, ISWC, 2018."},{"key":"10.3233\/SW-222919_ref42","doi-asserted-by":"crossref","unstructured":"J.\u00a0Sosnowska and O.\u00a0Skibski, Attachment centrality for weighted graphs, in: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017, pp.\u00a0416\u2013422.","DOI":"10.24963\/ijcai.2017\/59"},{"key":"10.3233\/SW-222919_ref43","doi-asserted-by":"crossref","unstructured":"R.\u00a0Speer, J.\u00a0Chin and C.\u00a0Havasi, Conceptnet 5.5: An open multilingual graph of general knowledge, in: AAAI, 2017, pp.\u00a04444\u20134451.","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"10.3233\/SW-222919_ref44","doi-asserted-by":"crossref","unstructured":"M.C.\u00a0Su\u00e1rez-Figueroa, A.\u00a0G\u00f3mez-P\u00e9rez and B.\u00a0Villaz\u00f3n-Terrazas, How to write and use the ontology requirements specification document, in: On the Move to Meaningful Internet Systems: OTM 2009, R.\u00a0Meersman, T.\u00a0Dillon and Herrero, eds, LNCS, Springer, Berlin, Heidelberg, 2009.","DOI":"10.1007\/978-3-642-05151-7_16"},{"key":"10.3233\/SW-222919_ref45","doi-asserted-by":"crossref","unstructured":"Y.\u00a0Tang, P.D.\u00a0Baer, G.\u00a0Zhao and R.\u00a0Meersman, On constructing, grouping and using topical ontology for semantic matching, in: Proceedings of OTM 2009 Workshops, R.\u00a0Meersman, P.\u00a0Herrero and T.\u00a0Dillon, eds, Vol.\u00a05872, Springer, Heidelberg, 2009, pp.\u00a0816\u2013825.","DOI":"10.1007\/978-3-642-05290-3_100"},{"key":"10.3233\/SW-222919_ref46","doi-asserted-by":"crossref","unstructured":"G.\u00a0Zhao and R.\u00a0Meersman, Architecting ontology for scalability and versatility, in: On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE, OTM 2005, R.\u00a0Meersman and Z.\u00a0Tari, eds, LNCS, Vol.\u00a03761, Springer, Berlin, Heidelberg, 2005.","DOI":"10.1007\/11575771"},{"key":"10.3233\/SW-222919_ref47","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/s10115-015-0882-z","article-title":"Word network topic model: A simple but general solution for short and imbalanced texts","volume":"48","author":"Zuo","year":"2016","journal-title":"Knowledge and Information Systems"}],"container-title":["Semantic Web"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/SW-222919","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T11:01:17Z","timestamp":1756206077000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/SW-222919"}},"subtitle":[],"editor":[{"given":"Mehwish","family":"Alam","sequence":"additional","affiliation":[{"name":"FIZ Karlsruhe, Germany"}]},{"given":"Victor","family":"de Boer","sequence":"additional","affiliation":[{"name":"Vrije Universiteit Amsterdam, Netherlands"}]},{"given":"Enrico","family":"Daga","sequence":"additional","affiliation":[{"name":"The Open University, United Kingdom"}]},{"given":"Marieke","family":"van Erp","sequence":"additional","affiliation":[{"name":"KNAW Humanities Cluster, Netherlands"}]},{"given":"Eero","family":"Hyv\u00f6nen","sequence":"additional","affiliation":[{"name":"University of Helsinki, Aalto University, Finland"}]},{"given":"Albert","family":"Mero\u00f1o Pe\u00f1uela","sequence":"additional","affiliation":[{"name":"Vrije Universiteit Amsterdam, Netherlands"}]},{"given":"Harald","family":"Sack","sequence":"additional","affiliation":[{"name":"FIZ Karlsruhe, Germany"}]},{"given":"Mehwish","family":"Alam","sequence":"additional","affiliation":[]},{"given":"Victor","family":"de Boer","sequence":"additional","affiliation":[]},{"given":"Enrico","family":"Daga","sequence":"additional","affiliation":[]},{"given":"Marieke","family":"van Erp","sequence":"additional","affiliation":[]},{"given":"Eero","family":"Hyvonen","sequence":"additional","affiliation":[]},{"given":"Albert","family":"Mero\u00f1o-Pe\u00f1uela","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,12,15]]},"references-count":46,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/sw-222919","relation":{},"ISSN":["2210-4968","1570-0844"],"issn-type":[{"type":"electronic","value":"2210-4968"},{"type":"print","value":"1570-0844"}],"subject":[],"published":{"date-parts":[[2022,12,15]]}}}