Foto del docente

Wilma Penzo

Assistant professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems


Keywords: Ontologies Semantic Web Query answering on graph databases Query answering on data streams

Query processing in graph-based data models
Conception of flexible query answering mechanisms for complex databases modeled as graphs. Support to similarity queries with semantically meaningful structural approximations.

Data storage and real-time query processing in data stream management systems for infomobility
Definition of efficient techniques for data storage either in main or secondary memory, according to different information availability needs. Complex event detection to trigger alerting systems and monitoring of traffic data. Real-time processing of queries with geo-referenced and temporality requirements.

Effective query processing and efficient access to distributed and heterogeneous information like that available on the Web imply sophisticated techniques which range several information management areas. The Semantic Web is developed to help the user to take advantage of this information.

Query processing in graph-based data models
In several application areas in the database field graph-based data models prove to be particularly suitable for information representation. In these application domains, largeness and heterogeneity of  information are common features which characterize the datasets. These peculiarities make it impractible to exactly query the data due to the lack of a complete knowledge of the vocabulary used, as well as of the information about how data is organized. A primary goal os then the definition of flexible query mechanisms which allow the user to easily query complex databases modeled as graphs and get relevant answers. The research activity is devoted to the study of a general model for processing queries, where query approximations are supported in a two-fold fashion: 1) node and edge label mismatch and 2) structural relaxation of relationships between data. A key contribution is the definition of Semantic Relatedness relation to allow semantically meaningful relaxations only.

Data storage and real-time query processing in data stream management systems
The support to sustainable urban mobility of people and goods in a territory has become one of the major challenges which has recently gained much interest in several ICT research areas. The development of new transport and mobility concepts have been promoted in the EU with the aim of developing innovative and effective initiatives, bringing together all elements of a clean, energy-efficient, safe and intelligent transportation. The research context is that of Intelligent Transportation Systems (ITSs) which provide reliable and timely information to improve the safety and the efficiency of vehicles' and goods' flows, as well as to make transportation a smart experience. One of the major challenges is the management of the multitude of stream items which originates from vehicles. The research activity is dedicated to storing real-time temporal stream items which must be accessed and manipulated efficiently to promptly answer users' requests. Scalability, modularity, and temporal data management capabilities are thus essential requirements to be supported.  

Latest news

At the moment no news are available.