Table A.3 Papers (P) excluded from the systematic literature review during the data extraction.
P Authors Year Title Publication details Reason
18 Wu, C., Wu, J., Ye, G., He, L., Huang, L., Xie, M.
2013 Linked Course Data- based User Personal Knowledge Recom- mendation Engine Ar- chitecture of Linked Course Data Journal of Compu- tational Information Systems, 9 (5), pp 1735 – 1742
36 Pereira Nunes, B. P., Dietze, S., Casanova, M., A., Kawase, R., Fetahu, B., Nejdl, W. 2013 Combining a Co- occurrence-Based and a Semantic Measure for Entity Linking
10th International Conference, pp 548 – 562
The study is not a RS.
41 Ruotsalo, T., Hyvönen, E.
2007 A Method for De- termining Ontology- Based Semantic Rel- evance
18th International Conference, pp 680 – 688
The study is not a RS. It is a semantic simi- larity method.
43 Parundekar, R., Oguchi, K.
2012 Driver recommenda- tions of POIs using a semantic content- based approach International Work- shop on Semantic Technologies Meet Recommender Systems and Big Data
The study is a RS but use classical kNN algorithm for recom- mendation. RDF data used only in an inter- mediate step to inte- grate data. 50 Song, T., Zhang, D., Shi, X., He, J.,Kang, Q. 2014 Combining Fusion and Ranking on Linked Data for Multimedia Recom- mendation
Proceedings of the 9th International
Symposium on
Linear Drives for Industry Applica- tions, Volume 3, pp 531-538
The full paper of the study not available
51 Pham, X.H., Jung, J.J., Takeda, H.
2013 Exploiting linked open data for at- tribute selection on recommendation systems
Find out how to access preview-only content
The full paper of the study not available
53 Kim, T., Kim, P., Lee, S., Jung, H., Sung, W. K. 2013 OntoURIResolver: Resolution and recommendation of URIs Published in LOD Proceedings of the 9th International Symposium on
Linear Drives for In- dustry Applications, Volume 3
The study is not a RS.
54 Kurz, T., Bürger, T., Sint, R., Mika, P., Vallet, D., Car- rero, F. M.
2010 R3-A related re- source recommender
Lecture Notes in Electrical Engineer- ing Volume 272, 2014, pp 531-538
The study is not a RS. It is more an interlink- ing framework
56 Morshed, A., Dutta, R., Aryal, J.
2013 Recommending envi- ronmental knowledge as linked open data cloud using semantic machine learning
29th International Conference on Data Engineering Workshops
The study is a knowl- edge base based on data integration and knowledge recom- mendation. Linked Data is not used to provide recommen- dations, but only for data integration. 58 Wu, J.Y., Wu,
C.L.
2014 The Study of User Model of Personal- ized Recommenda- tion System Based on Linked Course Data
Applied Mechanics and Materials, 519- 520, pp 1609-1612
The full paper of the study not available (excluded before data extraction)
60 Kim, T., Kim, P., Lee, S., Jung, H., Sung, W. K.
2011 OntoURIResolver: URI Resolution and Recommendation Service Using LOD
Future Generation Information Technol- ogy Conference, pp 245 – 250
The study is not a RS.
61 Bianchini, Devis 2012 A Classification of Web API Selection Solutions over the Linked Web
2nd International Workshop on Seman- tic Search over the Web
The study is not a RS.
69 Bellekens, P.,
Houben, G.-
J., Aroyo, L.,
Schaap, K.,
Kaptein, A.
2009 User Model Elicita- tion and Enrichment for Context-sensitive Personalization in a Multiplatform Tv En- vironment
Proceedings of the seventh european con- ference on European interactive television conference, pp 119 – 128
The study is not a RS.
71 Zarrinkalam, F., Kahani, M. 2011 Improving bibli- ographic search through dataset enrichment using Linked Data 1st International eConference on Com- puter and Knowledge Engineering, pp 254 – 259
The study is not a RS. It uses Linked Data to enrich data.
72 Sheng, H., Chen, H., Yu, T., Feng, Y.
2010 Linked data based se- mantic similarity and data mining
2010 IEEE Interna- tional Conference on Information Reuse & Integration, pp 104 – 108
The study is not a RS. It is a semantic simi- larity method. 73 Qing, H., Dietze, S., Giordano, D., Taibi, D., Kaldoudi, E., Dovrolis, N.
2012 Linked education : in- terlinking educational resources and the web of data
27th Annual ACM Symposium on Ap- plied Computing, pp 366 – 371
The study is not a RS. It uses Linked Data to enrich data.
74 Albertoni, R., De Martino, M. 2006 Semantic Similar- ity of Ontology Instances Tailored on the Application Context OTM Confederated International Con- ferences, CoopIS, DOA, GADA, and
ODBASE 2006.
Proceedings, Part I, pp 1020 – 1038
The study is not a RS. It is a semantic simi- larity method.
77 Tous, R., Delgado, J.
2006 A Vector Space Model for Semantic Similarity Calcu- lation and OWL Ontology Alignment
17th International Conference, pp 307 – 316
The study is not a RS. It is a semantic simi- larity method. 83 Leal, J. P., Ro- drigues, V., Queirós, R. 2012 Computing Semantic Relatedness using DBPedia 1st Symposium on Languages, Applica- tions and Technolo- gies, pp 133 – 147
The study is not a RS. It is a semantic simi- larity method.
85 Golbeck, J., Hendler, J.
2006 FilmTrust: movie rec- ommendations using trust in web-based so- cial networks
Consumer Communi- cations and Network- ing Conference, pp 282 – 286
The study is a RS but not use Linked Data to provide recommen- dations
87 Xie, M. 2011 Semantic-Based Linked Data Mining and Services
Journal of Informa- tion and Computa- tional Science, 12 (December), pp 3981 -3988
The study is not a RS.
90 Shabir, N., Clarke, C.
2009 Using Linked Data as a basis for a Learning Resource Recommen- dation System
1st International Workshop on Seman- tic Web Applications for Learning and Teaching Support in Higher Education
The study is not a RS.