This work-in-progress paper describes ArHeX similarity-oriented XML processing toolkit [9]. The distinguishing features of ArHeX are: (i) its ability to support collections which are heterogeneous at multiple levels of granularity, (ii) its flexible pattern-based query model, and (iii) its component-based architecture. These features allow ArHeX to support multiple user-defined similarity measures on top of efficient indexes and to employ it in different contexts. In this paper, we show its use in a biomedical research project.
ArHeX: A Framework for Approximate Retrieval in Heterogeneous / I. Sanz, M. Mesiti, G. Guerrini, L.R. Berlanga - In: Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems[s.l] : n.a., 2008. - pp. 414-421
ArHeX: A Framework for Approximate Retrieval in Heterogeneous
M. MesitiSecondo
;
2008
Abstract
This work-in-progress paper describes ArHeX similarity-oriented XML processing toolkit [9]. The distinguishing features of ArHeX are: (i) its ability to support collections which are heterogeneous at multiple levels of granularity, (ii) its flexible pattern-based query model, and (iii) its component-based architecture. These features allow ArHeX to support multiple user-defined similarity measures on top of efficient indexes and to employ it in different contexts. In this paper, we show its use in a biomedical research project.
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