Combining Ontology Modules for Scientific Text Annotation

Semantic annotation enables the inclusion of semantic information (ontology concepts), readable through software agents, into the most varied types of documents available on the Web. This operation facilitates search and access to relevant information. However, it is not an easy task, since the content to be annotated can be associated to multiple large ontologies. This article presents an approach based on the association of techniques and methods of ontology modularization, that enables the construction of a structure composed of concepts over one or more ontologies. This reduced structure is useful for automated semantic annotation of scientific texts. In addition, the structure attends a research specific interest. In order to evaluate this approach, a software tool was implemented. An experiment in the biomedical field, on a Corpus of 500 scientific papers, was conducted and showed good results, conforming the applicability of this approach.

[1]  Stefano Spaccapietra,et al.  An Overview of Modularity , 2009, Modular Ontologies.

[2]  Ana Carolina Salgado,et al.  A Method for Building Personalized Ontology Summaries , 2013, J. Inf. Data Manag..

[3]  Luigi Iannone,et al.  Ontology module extraction for ontology reuse: an ontology engineering perspective , 2007, CIKM '07.

[4]  John Domingue,et al.  Magpie: supporting browsing and navigation on the semantic web , 2004, IUI '04.

[5]  Enrico Motta,et al.  Modularization: a Key for the Dynamic Selection of Relevant Knowledge Components , 2006, WoMO.

[6]  Ana Maria de Carvalho Moura,et al.  An Ontology-Based Reasoning Approach for Document Annotation , 2013, 2013 IEEE Seventh International Conference on Semantic Computing.

[7]  Mohamed Y. Eltabakh,et al.  InsightNotes: summary-based annotation management in relational databases , 2014, SIGMOD Conference.

[8]  Julian Seidenberg.  Web Ontology Segmentation: Extraction, Transformation, Evaluation , 2009, Modular Ontologies.

[9]  Mark A. Musen,et al.  Building a biomedical ontology recommender web service , 2010, J. Biomed. Semant..

[10]  Mark A. Musen,et al.  Traversing Ontologies to Extract Views , 2009, Modular Ontologies.

[11]  Mark A. Musen,et al.  From mappings to modules: using mappings to identify domain-specific modules in large ontologies , 2010, K-CAP '11.

[12]  Pinar Wennerberg,et al.  Ontology modularization to improve semantic medical image annotation , 2011, J. Biomed. Informatics.

[13]  M. Ashburner,et al.  The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration , 2007, Nature Biotechnology.

[14]  Maria Cláudia Reis Cavalcanti,et al.  Applying Graph Partitioning Techniques to Modularize Large Ontologies , 2012, ONTOBRAS-MOST.

[15]  Mark A. Musen,et al.  Specifying Ontology Views by Traversal , 2004, International Semantic Web Conference.

[16]  Elena Paslaru Bontas Simperl.  Guidelines for Reusing Ontologies on the Semantic Web , 2010, Int. J. Semantic Comput..

[17]  Ana Maria de Carvalho Moura,et al.  Integrating Ontologies Based on P2P Mappings , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[18]  Tim Berners-Lee,et al.  World-Wide Web: The Information Universe , 1992, Electron. Netw. Res. Appl. Policy.

[19]  Csongor Nyulas,et al.  BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications , 2011, Nucleic Acids Res..