Theo dõi
Benjamin Heitmann
Benjamin Heitmann
Fraunhofer Institute for Applied Information Technology FIT, Germany (and Informatik 5, RWTH Aachen)
Email được xác minh tại fit.fraunhofer.de - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Using Linked Data to Build Open, Collaborative Recommender Systems.
B Heitmann, C Hayes
AAAI spring symposium: linked data meets artificial intelligence 10, 07, 2010
1892010
ActiveRDF: Embedding Semantic Web data into object-oriented languages
E Oren, B Heitmann, S Decker
Journal of Web Semantics 6 (3), 191-202, 2008
902008
A flexible integration framework for semantic web 2.0 applications
E Oren, A Haller, C Mesnage, M Hauswirth, B Heitmann, S Decker
IEEE software 24 (5), 64-71, 2007
552007
An architecture for privacy-enabled user profile portability on the web of data
B Heitmann, JG Kim, A Passant, C Hayes, HG Kim
Proceedings of the 1st International workshop on Information Heterogeneity …, 2010
392010
k-RDF-Neighbourhood Anonymity: Combining Structural and Attribute-based Anonymisation for Linked Data.
B Heitmann, F Hermsen, S Decker
PrivOn@ ISWC 1951, 2017
332017
Implementing semantic web applications: reference architecture and challenges
B Heitmann, S Kinsella, C Hayes, S Decker
SWESE 2009 16, 2009
332009
An open framework for multi-source, cross-domain personalisation with semantic interest graphs
B Heitmann
Proceedings of the sixth ACM conference on Recommender systems, 313-316, 2012
322012
A prototype to explore content and context on social community sites
U Bojārs, B Heitmann
The Social Semantic Web 2007–Proceedings of the 1st Conference on Social …, 2007
282007
An empirically grounded conceptual architecture for applications on the web of data
B Heitmann, R Cyganiak, C Hayes, S Decker
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011
272011
XPLODIV: An Exploitation-Exploration Aware Diversification Approach for Recommender Systems.
A Barraza-Urbina, B Heitmann, C Hayes, AC Ramos
FLAIRS, 483-488, 2015
242015
Personalisation of Social Web Services in the Enterprise Using Spreading Activation for Multi-Source, Cross-Domain Recommendations.
B Heitmann, M Dabrowski, A Passant, C Hayes, K Griffin
AAAI Spring Symposium: Intelligent Web Services Meet Social Computing, 2012
162012
SemStim at the LOD-RecSys 2014 challenge
B Heitmann, C Hayes
Semantic web evaluation challenge, 170-175, 2014
152014
Semstim: Exploiting knowledge graphs for cross-domain recommendation
B Heitmann, C Hayes
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
132016
Leveraging existing Web frameworks for a SIOC explorer to browse online social communities
B Heitmann, E Oren
122007
Using linked data to build recommender systems
A Passant, B Heitmann, C Hayes
Proceedings of RecSys, New York, USA, 2009
112009
Architecture of Linked Data Applications.
B Heitmann, R Cyganiak, C Hayes, S Decker
Linked Data Management, 69-91, 2014
92014
Towards a reference architecture for Semantic Web applications
B Heitmann, C Hayes, E Oren
92009
Towards privacy-preserving sharing of cyber threat intelligence for effective response and recovery
L Nitz, MA Gurabi, A Mandal, B Heitmann
ERCIM NEWS 126, 33-34, 2021
82021
Transitioning web application frameworks towards the semantic web
B Heitmann
Master's Thesis, Universität Karlsruhe, 2007
82007
Enabling case-based reasoning on the web of data
B Heitmann, C Hayes
The Eighteenth International Conference on Case-Based Reasoning ICCBR …, 2010
72010
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