Abstract
Information Retrieval (IR) experimental evaluation is an essential part of the research on and development of information access methods and tools. Shared data sets and evaluation scenarios allow for comparing methods and systems, understanding their behaviour, and tracking performances and progress over the time. On the other hand, experimental evaluation is an expensive activity in terms of human effort, time, and costs required to carry it out.
Software and hardware infrastructures that support experimental evaluation operation as well as management, enrichment, and exploitation of the produced scientific data provide a key contribution in reducing such effort and costs and carrying out systematic and throughout analysis and comparison of systems and methods, overall acting as enablers of scientific and technical advancement in the field. This paper describes the specification for an Information Retrieval (IR) evaluation infrastructure by conceptually modeling the entities involved in Information Retrieval (IR) experimental evaluation and their relationships and by defining the architecture of the proposed evaluation infrastructure and the APIs for accessing it.
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Agosti, M., Di Buccio, E., Ferro, N., Masiero, I., Peruzzo, S., Silvello, G. (2012). DIRECTions: Design and Specification of an IR Evaluation Infrastructure. In: Catarci, T., Forner, P., Hiemstra, D., Peñas, A., Santucci, G. (eds) Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics. CLEF 2012. Lecture Notes in Computer Science, vol 7488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33247-0_11
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DOI: https://doi.org/10.1007/978-3-642-33247-0_11
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