Abstract
The LOD cloud is becoming the de-facto standard for sharing and connecting pieces of data, information and knowledge on the Web. As of today, means for the seamless integration of structured data into the LOD cloud are available. However, algorithms for integrating information enclosed in unstructured text sources are missing. In order to foster the (re)use of the high percentage of unstructured text, automatic means for the integration of their content are needed. We address this issue by proposing an approach for conceptual representation of textual annotations which distinguishes linguistic from semantic annotations and their integration. Additionally, we implement a generic UIMA pipeline that automatically creates a LOD graph from texts that (1) implements the proposed conceptual representation, (2) extracts semantically classified entities, (3) links to existing LOD datasets and (4) generates RDF graphs from the extracted information. We show the application and benefits of the approach in a case study on a medical corpus.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Augenstein, I., Padó, S., Rudolph, S.: LODifier: generating linked data from unstructured text. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 210–224. Springer, Heidelberg (2012). http://dblp.uni-trier.de/db/conf/esws/eswc2012.html#AugensteinPR12
Berners-Lee, T.: Linked Data - Design Issues, July 2006. http://www.w3.org/DesignIssues/LinkedData.html
Ciccarese, P., Ocana, M., Garcia-Castro, L.J., Das, S., Clark, T.: An open annotation ontology for science on web 3.0. J. Biomedical Semantics 2(S–2), S4 (2011). http://dblp.uni-trier.de/db/journals/biomedsem/biomedsem2S.html#CiccareseOGDC11
Hellmann, S., Lehmann, J., Auer, S., Brümmer, M.: Integrating NLP using linked data. In: Alani, H., et al. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 98–113. Springer, Heidelberg (2013). http://svn.aksw.org/papers/2013/ISWC_NIF/public.pdf
Kawamura, T., Ohsuga, A.: Toward an ecosystem of LOD in the field: LOD content generation and its consuming service. In: Cudré-Mauroux, P., et al. (eds.) ISWC 2012, Part II. LNCS, vol. 7650, pp. 98–113. Springer, Heidelberg (2012). http://dblp.uni-trier.de/db/conf/semweb/iswc2012-2.html#KawamuraO12
Liu, H., Wu, S.T.I., Tao, C., Chute, C.G.: Modeling UIMA type system using web ontology language - towards interoperability among UIMA-based NLP tools. In: Proceedings of Workshop on Managing Interoperability and compleXity in Health Systems (MIX-HS), pp. 31–36 (2012). http://dblp.uni-trier.de/db/conf/cikm/mixhs2012.html#LiuWTC12
Oberkampf, H., Bretschneider, C., Zillner, S., Bauer, B., Hammon, M.: Knowledge-based extraction of measurement-entity relations from german radiology reports. In: IEEE International Conference on Healthcare Informatics (ICHI) (2013)
Oberkampf, H., Zillner, S., Bauer, B., Hammon, M.: An OGMS-based model for clinical information (MCI). In: Proceedings of International Conference on Biomedical Ontology, pp. 97–100 (2013). http://www2.unb.ca/csas/data/ws/icbo2013/papers/ec/icbo2013_submission_56.pdf
Radiological Society of North America: Radlex (2012). http://rsna.org/RadLex.aspx
Ramakrishnan, C., Kochut, K.J., Sheth, A.P.: A framework for schema-driven relationship discovery from unstructured text. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 583–596. Springer, Heidelberg (2006). http://dx.doi.org/10.1007/11926078_42
Rizzo, G., Troncy, R., Hellmann, S., Brümmer, M.: In: Workshop on Linked Data on the Web (LDOW), Lyon, France
Verspoor, K., Baumgartner Jr., W., Roeder, C., Hunter, L.: Abstracting the types away from a UIMA type system. From Form to Meaning: Processing Texts Automatically, 249–256 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Bretschneider, C., Oberkampf, H., Zillner, S. (2015). UIMA2LOD: Integrating UIMA Text Annotations into the Linked Open Data Cloud. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and Semantic Web. KESW 2015. Communications in Computer and Information Science, vol 518. Springer, Cham. https://doi.org/10.1007/978-3-319-24543-0_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-24543-0_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24542-3
Online ISBN: 978-3-319-24543-0
eBook Packages: Computer ScienceComputer Science (R0)