#### Filter Results:

- Full text PDF available (128)

#### Publication Year

1997

2017

- This year (6)
- Last 5 years (62)
- Last 10 years (97)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Data Set Used

#### Key Phrases

Learn More

- Evelina Lamma, Fabrizio Riguzzi, Luís Moniz Pereira
- Machine Learning
- 2000

We discuss the adoption of a three-valued setting for inductive concept learning. Distinguishing between what is true, what is false and what is unknown can be useful in situations where decisions have to be taken on the basis of scarce, ambiguous, or downright contradictory information. In a three-valued setting, we learn a definition for both the target… (More)

In this work we propose an approach for the automatic discovery of logic-based models starting from a set of process execution traces. The approach is based on a modified Inductive Logic Programming algorithm, capable of learning a set of declarative rules. The advantage of using a declarative description is twofold. First, the process is represented in an… (More)

The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows the checking of the compliance of a process execution (or trace) to the model. In this paper we propose a language for the representation of process models that is inspired to the… (More)

- Fabrizio Riguzzi, Theresa Swift
- TPLP
- 2011

Many real world domains require the representation of a measure of uncertainty. The most common such representation is probability, and the combination of probability with logic programs has given rise to the field of Probabilistic Logic Programming (PLP), leading to languages such as the Independent Choice Logic, Logic Programs with Annotated Disjunctions… (More)

- Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese
- Semantic Web
- 2015

Representing uncertain information is crucial for modeling real world domains. In this paper we present a technique for the integration of probabilistic information in Description Logics (DLs) that is based on the distribution semantics for probabilistic logic programs. In the resulting approach, that we called DISPONTE, the axioms of a probabilistic… (More)

- Elena Bellodi, Fabrizio Riguzzi
- ILP
- 2011

There is a growing interest in the field of Probabilistic Inductive Logic Programming, which uses languages that integrate logic programming and probability. Many of these languages are based on the distribution semantics and recently various authors have proposed systems for learning the parameters (PRISM, LeProbLog, LFI-ProbLog and EMBLEM) or both the… (More)

- Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma
- KSEM
- 2010

The management of business processes is receiving much attention, since it can support significant efficiency improvements in organizations. One of the most interesting problems is the representation of process models in a language that allows to perform reasoning on it. Various knowledge-based languages have been lately developed for such a task and showed… (More)

- Federico Chesani, Evelina Lamma, Paola Mello, Marco Montali, Fabrizio Riguzzi, Sergio Storari
- Trans. Petri Nets and Other Models of Concurrency
- 2009

- Elena Bellodi, Fabrizio Riguzzi
- Intell. Data Anal.
- 2013

Recently much work in Machine Learning has concentrated on using expressive representation languages that combine aspects of logic and probability. A whole field has emerged, called Statistical Relational Learning, rich of successful applications in a variety of domains. In this paper we present a Machine Learning technique targeted to Probabilistic Logic… (More)

- Antonis C. Kakas, Fabrizio Riguzzi
- New Generation Computing
- 2000

We investigate how abduction and induction can be integrated into a common learning framework. In particular, we consider an extension of Inductive Logic Programming (ILP) for the case in which both the background and the target theories are abductive logic programs and where an abductive notion of entailment is used as the basic coverage relation for… (More)