Michele Baggi
University of Siena
9 Papers
60 Citations
Michele Baggi is an academic researcher from University of Siena. The author has contributed to research in topics: Rewriting & Program synthesis. The author has an hindex of 3, co-authored 9 publications.
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Papers
A fold/unfold transformation framework for rewrite theories extended to CCT
María Alpuente,Demis Ballis,Michele Baggi,Moreno Falaschi +3 more
- 18 Jan 2010
TL;DR: This paper presents a fold/unfold-based transformation framework for rewriting logic theories which is based on narrowing, and is the first fold/ unfold transformation framework which allows one to deal with functions, rules, equations, sorts, and algebraic laws (such as commutativity and associativity).
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Quantitative Pathway Logic for Computational Biology
Michele Baggi,Demis Ballis,Moreno Falaschi +2 more
- 27 Aug 2009
TL;DR: An extension of Pathway Logic, called Quantitative Pathway logic (QPL), which allows one to reason about quantitative aspects of biological processes, such as element concentrations and reactions kinetics and supports the modeling of inhibitors.
16
Phil: A Lazy Implementation of a Language for Approximate Filtering of XML Documents
Michele Baggi,Demis Ballis +1 more
TL;DR: A system, written in Haskell, for filtering information from XML data which allows one to extract relevant data as well as to exclude useless and misleading contents from an XML document by matching patterns against XML documents is introduced.
8
Semantic Verification of Web System Contents
María Alpuente,Michele Baggi,Demis Ballis,Moreno Falaschi +3 more
- 20 Oct 2008
TL;DR: A rule-based specification language to define and automatically check semantic as well as syntactic constraints over the informative content of a Web system and significantly extends the GVERDI language by integrating ontology reasoning into the specification rules and by adding new syntactic constructs.
4
An access control language based on term rewriting and description logic
Michele Baggi,Demis Ballis,Moreno Falaschi +2 more
- 17 Jan 2010
TL;DR: A rule-based, domain specific language for modeling access control policies which is particularly suitable for managing security in the semantic web, since it allows one to evaluate authorization requests according to semantic information retrieved from remote knowledge bases and supports semantic-based policy composition, delegation and closure via flexible operators.
3