메뉴 건너뛰기




Volumn 35, Issue , 2015, Pages 142-151

Mining the Web of Linked Data with RapidMiner

Author keywords

Data mining; Linked Open Data; RapidMiner

Indexed keywords

DATA MINING; SOCIAL NETWORKING (ONLINE);

EID: 84937150571     PISSN: 15708268     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.websem.2015.06.004     Document Type: Article
Times cited : (83)

References (56)
  • 2
    • 84977670961 scopus 로고    scopus 로고
    • Adoption of the linked data best practices in different topical domains, in: International Semantic Web Conference
    • [2] M. Schmachtenberg, C. Bizer, H. Paulheim, Adoption of the linked data best practices in different topical domains, in: International Semantic Web Conference, 2014.
    • (2014)
    • Schmachtenberg, M.1    Bizer, C.2    Paulheim, H.3
  • 3
    • 0003641269 scopus 로고    scopus 로고
    • Advances in Knowledge Discovery and Data Mining
    • American Association for Artificial Intelligence Menlo Park, CA, USA
    • [3] Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Advances in Knowledge Discovery and Data Mining. 1996, American Association for Artificial Intelligence, Menlo Park, CA, USA, 1–34.
    • (1996) , pp. 1-34
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 4
    • 0003507803 scopus 로고    scopus 로고
    • Discovering Data Mining: From Concept to Implementation
    • Prentice-Hall, Inc.
    • [4] Cabena, P., Hadjinian, P., Stadler, R., Verhees, J., Zanasi, A., Discovering Data Mining: From Concept to Implementation. 1998, Prentice-Hall, Inc.
    • (1998)
    • Cabena, P.1    Hadjinian, P.2    Stadler, R.3    Verhees, J.4    Zanasi, A.5
  • 5
    • 84976492739 scopus 로고    scopus 로고
    • RapidMiner: Data Mining Use Cases and Business Analytics Applications
    • CRC Press
    • [5] Hofmann, M., Klinkenberg, R., RapidMiner: Data Mining Use Cases and Business Analytics Applications. 2013, CRC Press.
    • (2013)
    • Hofmann, M.1    Klinkenberg, R.2
  • 7
    • 84977640094 scopus 로고    scopus 로고
    • Olap4ld — a framework for building analysis applications over governmental statistics
    • Springer
    • [7] Kämpgen, B., Harth, A., Olap4ld — a framework for building analysis applications over governmental statistics. ESWC 2014 Posters & Demo Session, ESWC, 2014, Springer.
    • (2014) ESWC 2014 Posters & Demo Session, ESWC
    • Kämpgen, B.1    Harth, A.2
  • 10
    • 82055163007 scopus 로고    scopus 로고
    • Dbpedia spotlight: shedding light on the web of documents, in: Proceedings of the 7th International Conference on Semantic Systems
    • [10] P.N. Mendes, M. Jakob, A. García-Silva, C. Bizer, Dbpedia spotlight: shedding light on the web of documents, in: Proceedings of the 7th International Conference on Semantic Systems, 2011.
    • (2011)
    • Mendes, P.N.1    Jakob, M.2    García-Silva, A.3    Bizer, C.4
  • 11
    • 84974679554 scopus 로고    scopus 로고
    • An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
    • Cambridge University Press
    • [11] Cristianini, N., Shawe-Taylor, J., An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. 2000, Cambridge University Press.
    • (2000)
    • Cristianini, N.1    Shawe-Taylor, J.2
  • 12
    • 84977606418 scopus 로고    scopus 로고
    • A fast and simple graph kernel for rdf, in: DMLOD
    • [12] G.K.D. de Vries, S. de Rooij, A fast and simple graph kernel for rdf, in: DMLOD, 2013.
    • (2013)
    • de Vries, G.1    de Rooij, S.2
  • 14
    • 84886552224 scopus 로고    scopus 로고
    • A fast approximation of the weisfeiler-lehman graph kernel for rdf data, in: ECML/PKDD (1)
    • [14] G.K.D. de Vries, A fast approximation of the weisfeiler-lehman graph kernel for rdf data, in: ECML/PKDD (1), 2013.
    • (2013)
    • de Vries, G.1
  • 15
    • 84937449008 scopus 로고    scopus 로고
    • A comparison of propositionalization strategies for creating features from linked open data
    • [15] Ristoski, P., Paulheim, H., A comparison of propositionalization strategies for creating features from linked open data. Linked Data for Knowledge Discovery, 2014.
    • (2014) Linked Data for Knowledge Discovery
    • Ristoski, P.1    Paulheim, H.2
  • 16
    • 84977663323 scopus 로고    scopus 로고
    • Feature selection using a semantic hierarchy for event recognition and type classification, in: International Joint Conference on Natural Language Processing
    • [16] Y. Jeong, S.-H. Myaeng, Feature selection using a semantic hierarchy for event recognition and type classification, in: International Joint Conference on Natural Language Processing, 2013.
    • (2013)
    • Jeong, Y.1    Myaeng, S.-H.2
  • 17
    • 84925263282 scopus 로고    scopus 로고
    • Feature selection in hierarchical feature spaces
    • [17] Ristoski, P., Paulheim, H., Feature selection in hierarchical feature spaces. Discovery Science, 2014.
    • (2014) Discovery Science
    • Ristoski, P.1    Paulheim, H.2
  • 18
    • 84977651174 scopus 로고    scopus 로고
    • A comparative study for domain ontology guided feature extraction, in: Australasian Computer Science Conference
    • [18] B.B. Wang, R.I.B. Mckay, H.A. Abbass, M. Barlow, A comparative study for domain ontology guided feature extraction, in: Australasian Computer Science Conference, 2003.
    • (2003)
    • Wang, B.B.1    Mckay, R.I.B.2    Abbass, H.A.3    Barlow, M.4
  • 19
    • 84921887275 scopus 로고    scopus 로고
    • Discoverability of sparql endpoints in linked open data
    • Posters and Demos
    • [19] Paulheim, H., Hertling, S., Discoverability of sparql endpoints in linked open data. International Semantic Web Conference, 2013, Posters and Demos.
    • (2013) International Semantic Web Conference
    • Paulheim, H.1    Hertling, S.2
  • 20
    • 84861067655 scopus 로고    scopus 로고
    • PARIS: probabilistic alignment of relations, instances, and schema
    • [20] Suchanek, F.M., Abiteboul, S., Senellart, P., PARIS: probabilistic alignment of relations, instances, and schema. PVLDB 5:3 (2011), 157–168.
    • (2011) PVLDB , vol.5 , Issue.3 , pp. 157-168
    • Suchanek, F.M.1    Abiteboul, S.2    Senellart, P.3
  • 22
    • 84977625076 scopus 로고    scopus 로고
    • The analysis of european research networks: Cooperation in the seventh framework program, in: ECPR General Conference
    • [22] M. Bussmann, A. Kleine, The analysis of european research networks: Cooperation in the seventh framework program, in: ECPR General Conference, 2011.
    • (2011)
    • Bussmann, M.1    Kleine, A.2
  • 23
    • 0035292862 scopus 로고    scopus 로고
    • The geography of poverty and wealth
    • [23] Sachs, J.D., Mellinger, A.D., Gallup, J.L., The geography of poverty and wealth. Sci. Am. 284:3 (2001), 70–75.
    • (2001) Sci. Am. , vol.284 , Issue.3 , pp. 70-75
    • Sachs, J.D.1    Mellinger, A.D.2    Gallup, J.L.3
  • 24
    • 84977661899 scopus 로고    scopus 로고
    • A hybrid multi-strategy recommender system using linked open data.
    • [24] P. Ristoski, E.L. Mencıa, H. Paulheim, A hybrid multi-strategy recommender system using linked open data.
    • Ristoski, P.1    Mencıa, E.L.2    Paulheim, H.3
  • 25
    • 84977652092 scopus 로고    scopus 로고
    • Identifying wrong links between datasets by multi-dimensional outlier detection, in: Workshop on Debugging Ontologies and Ontology Mappings, WoDOOM, 2014
    • [25] H. Paulheim, Identifying wrong links between datasets by multi-dimensional outlier detection, in: Workshop on Debugging Ontologies and Ontology Mappings, WoDOOM, 2014, 2014.
    • (2014)
    • Paulheim, H.1
  • 26
    • 84977613487 scopus 로고    scopus 로고
    • Anomaly detection, in: RapidMiner — Data Mining Use Cases and Business Analytics Applications
    • [26] M. Goldstein, Anomaly detection, in: RapidMiner — Data Mining Use Cases and Business Analytics Applications, 2014.
    • (2014)
    • Goldstein, M.1
  • 28
    • 84977622021 scopus 로고    scopus 로고
    • Generating possible interpretations for statistics from linked open data, in: 9th Extended Semantic Web Conference, ESWC
    • [28] H. Paulheim, Generating possible interpretations for statistics from linked open data, in: 9th Extended Semantic Web Conference, ESWC, 2012.
    • (2012)
    • Paulheim, H.1
  • 29
    • 84977647693 scopus 로고    scopus 로고
    • Analyzing statistics with background knowledge from linked open data, in: Workshop on Semantic Statistics
    • [29] P. Ristoski, H. Paulheim, Analyzing statistics with background knowledge from linked open data, in: Workshop on Semantic Statistics, 2013.
    • (2013)
    • Ristoski, P.1    Paulheim, H.2
  • 31
    • 84893800494 scopus 로고    scopus 로고
    • I see a car crash: Real-time detection of small scale incidents in microblogs
    • Springer
    • [31] Schulz, A., Ristoski, P., Paulheim, H., I see a car crash: Real-time detection of small scale incidents in microblogs. The Semantic Web: ESWC 2013 Satellite Events, 2013, Springer, 22–33.
    • (2013) The Semantic Web: ESWC 2013 Satellite Events , pp. 22-33
    • Schulz, A.1    Ristoski, P.2    Paulheim, H.3
  • 32
    • 84977605997 scopus 로고    scopus 로고
    • Semantic abstraction for generalization of tweet classification.
    • [32] A. Schulz, C. Guckelsberger, F. Janssen, Semantic abstraction for generalization of tweet classification.
    • Schulz, A.1    Guckelsberger, C.2    Janssen, F.3
  • 33
    • 84909583351 scopus 로고    scopus 로고
    • What is good for one city may not be good for another one: Evaluating generalization for tweet classification based on semantic abstraction
    • in: CEUR (Ed.), Proceedings of the Fifth Workshop on Semantics for Smarter Cities a Workshop at the 13th International Semantic Web Conference, vol. 1280
    • [33] A. Schulz, F. Janssen, What is good for one city may not be good for another one: Evaluating generalization for tweet classification based on semantic abstraction, in: CEUR (Ed.), Proceedings of the Fifth Workshop on Semantics for Smarter Cities a Workshop at the 13th International Semantic Web Conference, vol. 1280, 2014, pp. 53–67.
    • (2014) , pp. 53-67
    • Schulz, A.1    Janssen, F.2
  • 34
    • 85074679454 scopus 로고    scopus 로고
    • Linked open government data as background knowledge in predicting forest fire
    • [34] G.F. SHIDIK, A. ASHARI, Linked open government data as background knowledge in predicting forest fire, J. Inform.
    • J. Inform.
    • SHIDIK, G.F.1    ASHARI, A.2
  • 35
    • 84910050611 scopus 로고    scopus 로고
    • Data mining and linked open data—new perspectives for data analysis in environmental research
    • [35] Lausch, A., Schmidt, A., Tischendorf, L., Data mining and linked open data—new perspectives for data analysis in environmental research. Ecol. Model. 295 (2015), 5–17.
    • (2015) Ecol. Model. , vol.295 , pp. 5-17
    • Lausch, A.1    Schmidt, A.2    Tischendorf, L.3
  • 37
    • 84977606766 scopus 로고    scopus 로고
    • Data mining with background knowledge from the web, in: RapidMiner World
    • [37] H. Paulheim, P. Ristoski, E. Mitichkin, C. Bizer, Data mining with background knowledge from the web, in: RapidMiner World, 2014.
    • (2014)
    • Paulheim, H.1    Ristoski, P.2    Mitichkin, E.3    Bizer, C.4
  • 38
    • 84901490873 scopus 로고    scopus 로고
    • Generating Rule Sets From Model Trees
    • Springer
    • [38] Holmes, G., Hall, M., Prank, E., Generating Rule Sets From Model Trees. 1999, Springer.
    • (1999)
    • Holmes, G.1    Hall, M.2    Prank, E.3
  • 41
    • 84977615186 scopus 로고    scopus 로고
    • Unsupervised generation of data mining features from linked open data, in: International Conference on Web Intelligence, Mining, and Semantics, WIMS’12
    • [41] H. Paulheim, J. Fürnkranz, Unsupervised generation of data mining features from linked open data, in: International Conference on Web Intelligence, Mining, and Semantics, WIMS’12, 2012.
    • (2012)
    • Paulheim, H.1    Fürnkranz, J.2
  • 43
    • 84977660812 scopus 로고    scopus 로고
    • An approach for accessing linked open data for data mining purposes, in: Proceedings of RapidMiner Community Meeting and Conference, RCOMM 2013, Porto
    • [43] A. Nolle, G. Nemirovski, A. Sicilia, J. Pleguezuelos, An approach for accessing linked open data for data mining purposes, in: Proceedings of RapidMiner Community Meeting and Conference, RCOMM 2013, Porto, 2013.
    • (2013)
    • Nolle, A.1    Nemirovski, G.2    Sicilia, A.3    Pleguezuelos, J.4
  • 44
    • 84977624811 scopus 로고    scopus 로고
    • Liddm: A data mining system for linked data, in: Workshop on Linked Data on the Web, LDOW2011
    • [44] V.N.P. Kappara, R. Ichise, O. Vyas, Liddm: A data mining system for linked data, in: Workshop on Linked Data on the Web, LDOW2011, 2011.
    • (2011)
    • Kappara, V.N.P.1    Ichise, R.2    Vyas, O.3
  • 45
    • 83055191152 scopus 로고    scopus 로고
    • Automated feature generation from structured knowledge, in: CIKM
    • [45] W. Cheng, G. Kasneci, T. Graepel, D. Stern, R. Herbrich, Automated feature generation from structured knowledge, in: CIKM, 2011.
    • (2011)
    • Cheng, W.1    Kasneci, G.2    Graepel, T.3    Stern, D.4    Herbrich, R.5
  • 46
    • 84977638784 scopus 로고    scopus 로고
    • Towards a benchmark for lod-enhanced knowledge discovery from structured data, in: DMLOD
    • [46] J. Mynarz, V. Svátek, Towards a benchmark for lod-enhanced knowledge discovery from structured data, in: DMLOD, 2013.
    • (2013)
    • Mynarz, J.1    Svátek, V.2
  • 47
    • 84977623185 scopus 로고    scopus 로고
    • Two pre-processing operators for improved learning from semanticweb data, in: First RapidMiner Community Meeting And Conference, RCOMM 2010, Vol. 20
    • [47] M.A. Khan, G.A. Grimnes, A. Dengel, Two pre-processing operators for improved learning from semanticweb data, in: First RapidMiner Community Meeting And Conference, RCOMM 2010, Vol. 20, 2010.
    • (2010)
    • Khan, M.A.1    Grimnes, G.A.2    Dengel, A.3
  • 48
    • 84977625262 scopus 로고    scopus 로고
    • Rmonto: ontological extension to rapidminer, in: 10th International Semantic Web Conference
    • [48] J. Potoniec, A. Lawrynowicz, Rmonto: ontological extension to rapidminer, in: 10th International Semantic Web Conference, 2011.
    • (2011)
    • Potoniec, J.1    Lawrynowicz, A.2
  • 50
    • 84977672722 scopus 로고    scopus 로고
    • A scalable approach for statistical learning in semantic graphs, Semantic Web.
    • [50] Y. Huang, V. Tresp, M. Nickel, H.-P. Kriegel, A scalable approach for statistical learning in semantic graphs, Semantic Web.
    • Huang, Y.1    Tresp, V.2    Nickel, M.3    Kriegel, H.-P.4
  • 53
    • 84902578897 scopus 로고    scopus 로고
    • Dedalo: Looking for clusters explanations in a labyrinth of linked data
    • [53] I. Tiddi, M. d'Aquin, E. Motta, Dedalo: Looking for clusters explanations in a labyrinth of linked data, in: ESWC, 2014, pp. 333–348.
    • (2014) in: ESWC , pp. 333-348
    • Tiddi, I.1    d'Aquin, M.2    Motta, E.3
  • 54
    • 84977660180 scopus 로고    scopus 로고
    • Power Query for Power BI and Excel
    • Springer
    • [54] Webb, C., Power Query for Power BI and Excel. 2014, Springer.
    • (2014)
    • Webb, C.1
  • 56
    • 84925276311 scopus 로고    scopus 로고
    • An integrated and improved approach to terms weighting in text classification
    • [56] J. Gautam, E. Kumar, An integrated and improved approach to terms weighting in text classification, IJCSI 10 (1).
    • IJCSI , vol.10 , Issue.1
    • Gautam, J.1    Kumar, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.