Rosalba Rossato
University of Verona
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Publication
Featured researches published by Rosalba Rossato.
Artificial Intelligence in Medicine | 2005
Carlo Combi; Barbara Oliboni; Rosalba Rossato
OBJECTIVE In this paper, we focus on the issue of providing physicians with the capability of representing in a seamless way both temporal aspects of multimedia semistructured data and their temporal presentation requirements. BACKGROUND Semistructured data are data having some structure, that may be irregular or incomplete and does not necessarily conform to a fixed schema. Semistructured data often contain the description of histories of the considered real world. The eXtensible Markup Language (XML) is becoming a cross compatible and standardized means for representing semistructured clinical data. In the field of medical informatics, there are many ongoing activities concerning XML. In the field of multimedia database systems, the topic related to the integration of several media objects (with their temporal aspects) have been considered both for data modeling and querying issues and for modeling multimedia presentations. METHODOLOGY We first propose the Multimedia Temporal Graphical Model (MTGM), by representing a clinical database for cardiology patients undergoing cardiac angiographies and then describe it in a formal way. We deal with the problem of expressing MTGM data by XML and of managing MTGM clinical data through an XML-based system. We provide both a technique for translating (a part of) an MTGM database into an XML document and some techniques allowing us to obtain presentations defined by means of the Synchronized Multimedia Integration Language (SMIL) from MTGM presentations. RESULTS MTGM allows one to represent and store clinical information in a semistructured, temporal, and multimedia database. The physician can define multimedia presentations based on the stored data. Multimedia presentations are then stored in the same MTGM database together with temporal clinical information and are thus represented according to the same data model. A prototype based on an XML native database system has been designed and implemented. DISCUSSION AND CONCLUSIONS In this work we have considered the theoretical and methodological issues concerning the definition of a general data model for describing temporal and multimedia features of semistructured clinical information. Other research and application oriented features, which have not been considered in MTGM, could be investigated for completing MTGM with regard to its applicability to clinical domains: MTGM does not allow one to express times at different levels of granularities, i.e. with different time units, or with indeterminacy; besides the considered valid time, it could be interesting to manage also other temporal dimensions such as the transaction and availability times. Besides being useful for managing multimedia data stored according to widely accepted standards as MPEG and DICOM, nowadays semistructured data, and XML in particular, are becoming the most important way for expressing and exchanging medical knowledge and data: MTGM can be considered as a data model allowing the seamless representation of both (multimedia and temporal) clinical data and knowledge.
computational intelligence | 2005
Carlo Combi; Barbara Oliboni; Rosalba Rossato
In this work we propose a flexible approach to evaluate association rules on XML documents. In particular we describe evaluation techniques in order to assign a satisfiability degree to structural association rules, which allow one to evaluate the similarity of the XML document with respect to a given structure, and to value association rules which allow one to capture the similarity between the information contained in the XML document and the required information.
international conference on smart homes and health telematics | 2006
Carlo Combi; Rosalba Rossato
In this chapter, we propose a logic-based approach to describe temporal constraints with multiple time granularities related to events occurring in Smart Homes. We identify a time granularity as a (possibly) infinite sequence of time points properly labeled with propositional symbols marking the starting and the ending points of each granule. In particular, sensor granularities describe time intervals during which Smart Home sensors are in the state “ON”. Both time and sensor granularities and temporal constraints are expressed by means of PPLTL formulae. Temporal constraints for Smart Home are satisfied when the specific relationships between time/sensor granularities, involved in the described constraints, hold.
international symposium on temporal representation and reasoning | 2005
Carlo Combi; Angelo Montanari; Rosalba Rossato
In the database literature, different types of temporal functional dependencies (TFDs) have been proposed to constrain the temporal evolution of information. Unfortunately, the lack of a common notation makes it difficult to compare, to integrate, and to possibly extend the various proposals. In this paper, we outline a unifying algebraic framework for TFDs. We first introduce the proposed approach, then we use it to give a uniform account of existing TFDs, and finally we show that it allows one to easily express new meaningful TFDs.
international symposium on temporal representation and reasoning | 2006
Carlo Combi; Rosalba Rossato
In this paper we propose a formal framework allowing the expression of temporal trends which involve multiple granularities. We first discuss the representation of trend dependencies and then we propose a characterization of trends according to different temporal features considering also the relationships with the specific temporal granularities involved in the trend definition. A suitable temporal logic is introduced to formally represent time-evolving relations, granularities and granular trends
database and expert systems applications | 2004
Carlo Combi; Rosalba Rossato
Functional dependencies allow one to define semantic constraints on relational databases without focusing on data dynamics. Some efforts have been devoted in these last twenty years to extend functional dependencies to support temporal aspects of data; the existing proposals capture temporal features which are slightly different one from each other. In this paper we propose a logic based approach for the problem of modeling and managing temporal data dependencies, and we show how our proposal allows one to express in a homogeneous way the temporal functional dependencies previously proposed in the literature.
international conference on knowledge based and intelligent information and engineering systems | 2005
Carlo Combi; Barbara Oliboni; Rosalba Rossato
In the XML data context, documents may have a “similar” content but a different structure, thus a flexible approach to identify recurrent situations is needed. In this work we show how it is possible to compose structural and value association rules (simple rules) in order to describe complex association rules on XML documents. Moreover, we propose an approach to quantify support and confidence both for simple and complex rules in the XML data context.
artificial intelligence in medicine in europe | 2003
Carlo Combi; Barbara Oliboni; Rosalba Rossato
In this paper, we propose a semistructured data model for representing multimedia and temporal clinical information. Motivations are provided, taken from the domain of cardiac angiography.
database and expert systems applications | 2005
Carlo Combi; Barbara Oliboni; Rosalba Rossato
Journal of Biomedical Informatics | 2012
Carlo Combi; Giuseppe Pozzi; Rosalba Rossato