Authors:
Francesca Arcelli Fontana
1
;
Riccardo Roveda
2
and
Marco Zanoni
1
Affiliations:
1
University of Milano-Bicocca, Italy
;
2
KIE s.r.l., Italy
Keyword(s):
Knowledge Discovery, Project Discovery, FLOSS Projects, Full-text Search.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Information Extraction
;
Information Integration
;
Integration/Interoperability
;
Knowledge Acquisition
;
Knowledge Discovery and Information Retrieval
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Mining Text and Semi-Structured Data
;
Ontologies and the Semantic Web
;
Software Development
;
Symbolic Systems
Abstract:
We can retrieve and integrate knowledge of different kinds. In this paper, we focus our attention on FLOSS (Free, Libre and Open Source Software) projects. With this aim, we introduce RepoFinder, a web application we have developed for the discovery, retrieval and analysis of open source software. RepoFinder supports a keyword-based discovery process for FLOSS projects through google-like queries. Moreover, it allows to analyze the projects according to well-known software metrics and other features of the code, and to compare some structural aspects of the different projects. In the paper, we focus on the discovery capabilities of RepoFinder, evaluating them on different project categories and comparing them with a well-known search engine as Google.