Abstract
Retrieval experiments produce plenty of data, like various experiment settings and experimental results, that are usually not all included in the published articles. Even if they are mentioned, they are not easily machine-readable. We propose the use of IR nanopublications to describe in a formal language such information. Furthermore, to support the unambiguous description of IR domain aspects, we present a preliminary IR ontology. The use of the IR nanopublications will facilitate the assessment and comparison of IR systems and enhance the degree of reproducibility and reliability of IR research progress.
This research was partly funded by the Austrian Science Fund (FWF) project number P25905-N23 (ADmIRE).
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References
Guidelines for nanopublication, http://nanopub.org/guidelines/working_draft/ (last retrieved: May 2014)
Allen, J.: Natural Language Understanding, 2nd edn. Benjamin-Cummings Publishing Co., Inc., Redwood City (1995)
Buckheit, J., Donoho, D.L.: Wavelab and Reproducible Research. In: Wavelets and Statistics. Springer, Berlin (1995)
Fernà ndez, M., Cantador, I., Lòpez, V., Vallet, D., Castells, P., Motta, E.: Semantically enhanced Information Retrieval: An ontology-based approach. J. Web Semant. 9(4), 434–452 (2011)
Frantzi, K., Ananiadou, S., Mima, H.: Automatic recognition of multi-word terms: the C-value/NC-value method. Int. J. Digit. Libr. 3(2), 115–130 (2000)
Freire, J., Bonnet, P., Shasha, D.: Computational Reproducibility: State-of-the-art, Challenges, and Database Research Opportunities. In: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, pp. 593–596. ACM, New York (2012)
Gómez-Pérez, A., Fernandez-Lopez, M., Corcho, O.: Ontological engineering, vol. 139. Springer (2004)
Groth, P., Gibson, A., Velterop, J.: The Anatomy of a Nanopublication. Inf. Serv. Use 30(1-2), 51–56 (2010)
Harman, D.: Information retrieval evaluation. Synthesis Lectures on Information Concepts, Retrieval, and Services 3(2), 1–119 (2011)
Li, Z., Raskin, V., Ramani, K.: Developing Engineering Ontology for Information Retrieval. J. Comput. Inform. Sci. Eng. (2008)
Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2008)
Robertson, S.: On the history of evaluation in IR. J. Inform. Sci. 34(4), 439–456 (2008)
Roelleke, T.: Information Retrieval Models: Foundations and Relationships. Synthesis Lectures on Information Concepts, Retrieval, and Services 5(3), 1–163 (2013)
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Lipani, A., Piroi, F., Andersson, L., Hanbury, A. (2014). An Information Retrieval Ontology for Information Retrieval Nanopublications. In: Kanoulas, E., et al. Information Access Evaluation. Multilinguality, Multimodality, and Interaction. CLEF 2014. Lecture Notes in Computer Science, vol 8685. Springer, Cham. https://doi.org/10.1007/978-3-319-11382-1_5
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DOI: https://doi.org/10.1007/978-3-319-11382-1_5
Publisher Name: Springer, Cham
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