Stefano Marchesin
ABSTRACT
We propose a research that aims at improving the effectiveness of case-based retrieval systems through the use of automatically created document-level semantic networks. The proposed research leverages the recent advancements in information extraction and relational learning to revisit and advance the core ideas of concept-centered hypertext models. The automatic extraction of semantic relations from documents --- and their centrality in the creation and exploitation of the documents' semantic networks --- represents our attempt to go one step further than previous approaches.
- M. Agosti and F. Crestani. 1993. A Methodology for the Automatic Construction of a Hypertext for Information Retrieval SIGIR. ACM, 745--753. Google Scholar
Digital Library
- F. Liu, J. Chen, A. Jagannatha, and H. Yu. 2016. Learning for Biomedical Information Extraction: Methodological Review of Recent Advances. arXiv preprint arXiv:1606.07993 (2016).Google Scholar
- M. Nickel, K. Murphy, V. Tresp, and E. Gabrilovich. 2016. A review of relational machine learning for knowledge graphs. Proc. IEEE Vol. 104, 1 (2016), 11--33.Google ScholarCross Ref
- J. F. Sowa. 2014. Principles of semantic networks: Explorations in the representation of knowledge. Morgan Kaufmann.Google Scholar
Index Terms
- Case-Based Retrieval Using Document-Level Semantic Networks
Recommendations
Document Retrieval Model Through Semantic Linking
WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data MiningThis paper addresses the task of document retrieval based on the degree of document relatedness to the meanings of a query by presenting a semantic-enabled language model. Our model relies on the use of semantic linking systems for forming a graph ...
Enhancing semantic search using case-based modular ontology
SAC '10: Proceedings of the 2010 ACM Symposium on Applied ComputingIn this paper, we present a semantic search approach based on Case-based modular Ontology. Our work aims to improve ontology-based information retrieval by the integration of the traditional information retrieval, the use of ontology and the case based ...
Exploiting Inference from Semantic Annotations for Information Retrieval: Reflections From Medical IR
ESAIR '14: Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information RetrievalThe increasing amount of information that is annotated against standardised semantic resources offers opportunities to incorporate sophisticated levels of reasoning, or inference, into the retrieval process. In this position paper, we reflect on the ...
Comments