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Towards Linked Research Data: An Institutional Approach
Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model
Committee-based Selection of Weakly Labeled Instances for Learning Relation Extraction
Proceedings of Interacting with Linked Data (ILD 2012), workshop co-located with the 9th Extended Semantic Web Conference, May 28, 2012, Heraklion, Greece

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Cimiano, P, Handschuh S, Staab S. 2004. Towards the Self-Annotating Web. Proceedings of the 13th WWW Conference. :462-471.

Cimiano, P, Handschuh S, Staab S, Biasuzzi C, Ciravegna F, Domingue J, Ferraro M, Fonti R, Gilardoni L, Giuliano C et al.. 2004. Tool Evaluation.

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Cimiano, P, Eberhart A, Hitzler P, Oberle D, Staab S, Studer R. 2004. The SmartWeb Foundational Ontology.

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Cimiano, P, Ciravegna F, Domingue J, Handschuh S, Lavelli A, Staab S, Stevenson M. 2003. Requirements for Information Extraction for Knowledge Management (Position Paper). 2nd Workshop on Knowledge Markup and Semantic Annotation. :89-94.

Cimiano, P, Staab S, Stumme G, Handschuh S, Biasuzzi C, Ciravegna F, Domingue J, Ferraro M, Fonti R, Gilardoni L et al.. 2003. Requirements for IE-based KM.

Cimiano, P, Tran D T, Schmidt-Thieme L, Tso K, Staab S, Schüler B, Lavelli A. 2006. Requirement Analysis of Uncertainty in the Management of Multimedia Objects in X-Media . X-Media Internal Deliverable ID2.1.

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Bloehdorn, S, Cimiano P, Hotho A, Staab S. 2005. An Ontology-based Framework for Text Mining. LDV Forum - GLDV Journal for Computational Linguistics and Language Technology. 20:87-112.

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Cimiano, P, Pivk A, Schmidt-Thieme L, Staab S. 2005. Learning Taxonomic Relations from Heterogeneous Sources of Evidence. Ontology Learning from Text: Methods, Evaluation and Applications. 123:59-73.

Cimiano, P, Schmidt-Thieme L, Pivk A, Staab S. 2004. Learning Taxonomic Relations from Heterogeneous Evidence. Proceedings of the ECAI 2004 Ontology Learning and Population Workshop.

Cimiano, P, Staab S. 2005. Learning Concept Hierarchies from Text with a Guided Agglomerative Clustering Algorithm. Proceedings of the ICML 2005 Workshop on Learning and Extending Lexical Ontologies with Machine Learning Methods.

Cimiano, P, Hotho A, Staab S. 2005. Learning Concept Hierarchies from Text Corpora using Formal Concept Anaylsis. Journal of Artificial Intelligence Research (JAIR). 24:305-339.

Cimiano, P, Hotho A, Staab S. 2004. Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis.

Cimiano, P, Staab S. 2004. Learning by Googling. SIGKDD Explorations. 6:24-34.

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Cimiano, P, Handschuh S, Staab S, Biasuzzi C, Ciravegna F, Domingue J, Ferraro M, Fonti R, Gilardoni L, Lanzoni L et al.. 2003. IE-based KM Tools.

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Cimiano, P, Ladwig G, Staab S. 2005. Gimme The Context: Context-driven automatic semantic annotation with C-PANKOW. Proceedings of the 14th World Wide Web Conference. :332-341.

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Cimiano, P, Schultz A, Sizov S, Sorg P, Staab S. 2009. Explicit vs. Latent Concept Models for Cross-Language Information Retrieval. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).

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Cimiano, P, Staab S, Tane J. 2003. Deriving Concept Hierarchies from Text by Smooth Formal Concept Analysis. Proceedings of the GI Workshop "Lehren - Lernen - Wissen - Adaptivität" (LLWA), Fachgruppe Maschinelles Lernen, Wissenentdeckung, Data Mining, Karlsruhe, Germany. :72-79.

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Cimiano, P, Hotho A, Staab S. 2004. Comparing Conceptual, Partitional and Agglomerative Clustering for Learning Taxonomies from Text. Proceedings of the European Conference on Artificial Intelligence (ECAI'04). :435-439.

Cimiano, P, Hotho A, Staab S. 2004. Clustering Ontologies from Text. Proceedings of the Conference on Lexical Resources and Evaluation (LREC). :1721-1724.

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Cimiano, P, Staab S, Tane J. 2003. Automatic Acquisition of Taxonomies from Text: FCA meets NLP. Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, Cavtat-Dubrovnik, Croatia. :10-17.

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