Alberto Musetti

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Alberto Musetti is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Aemoo: Exploring knowledge on the Web Proceedings of the 3rd Annual ACM Web Science Conference, WebSci 2013 English 2013 Aemoo is a Semantic Web application supporting knowledge exploration on the Web. Through a keyword-based search interface, users can gather an effective summary of the knowledge about an entity, according to Wikipedia, Twitter, and Google News. Summaries are designed by applying lenses based on a set of empirically discovered knowledge patterns. Copyright 2013 ACM. 0 0
Tìpalo: A tool for automatic typing of DBpedia entities Lecture Notes in Computer Science English 2013 In this paper we demonstrate the potentiality of Tìpalo, a tool for automatically typing DBpedia entities. Tìpalo identifies the most appropriate types for an entity in DBpedia by interpreting its definition extracted from its corresponding Wikipedia abstract. Tìpalo relies on FRED, a tool for ontology learning from natural language text, and on a set of graph-pattern-based heuristics which work on the output returned by FRED in order to select the most appropriate types for a DBpedia entity. The tool returns a RDF graph composed of rdf:type, rdfs:subClassOf, owl:sameAs, and owl:equivalentTo statements providing typing information about the entity. Additionally the types are aligned to two lists of top-level concepts, i.e., Wordnet supersenses and a subset of DOLCE Ultra Lite classes. Tìpalo is available as a Web-based tool and exposes its API as HTTP REST services. 0 0
Automatic typing of DBpedia entities Lecture Notes in Computer Science English 2012 We present Tìpalo, an algorithm and tool for automatically typing DBpedia entities. Tìpalo identifies the most appropriate types for an entity by interpreting its natural language definition, which is extracted from its corresponding Wikipedia page abstract. Types are identified by means of a set of heuristics based on graph patterns, disambiguated to WordNet, and aligned to two top-level ontologies: WordNet supersenses and a subset of DOLCE+DnS Ultra Lite classes. The algorithm has been tuned against a golden standard that has been built online by a group of selected users, and further evaluated in a user study. 0 0
OWiki: Enabling an ontology-led creation of semantic data Advances in Intelligent and Soft Computing English 2012 While the original design of wikis was mainly focused on a completely open free-form text model, semantic wikis have since moved towards a more structured model for editing: users are driven to create ontological data in addition to text by using ad-hoc editing interfaces. This paper introduces OWiki, a framework for creating ontological content within not-natively-semantic wikis. Ontology-driven forms and templates are the key concepts of the system, that allows even inexpert users to create consistent semantic data with little effort. Multiple and very different instances of OWiki are presented here. The expressive power and flexibility of OWiki proved to be the right trade-off to deploy the authoring environments for such very different domains, ensuring at the same time editing freedom and semantic data consistency. 0 0
Crowdsourcing semantic content: A model and two applications Authoring
Community
Interfaces
Ontology
Template
3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings English 2010 While the original design of wikis was mainly focused on a completely open free-form text model, semantic wikis have since moved towards a more structured model for editing: users are driven to create ontological data in addition to text by using ad-hoc editing interfaces. This paper introduces OWiki, a framework for creating ontological content within not-natively-semantic wikis. Ontology-driven forms and templates are the key concepts of the system, that allows even inexpert users to create consistent semantic data with little effort. Multiple and very different instances of OWiki are presented here. The expressive power and flexibility of OWiki proved to be the right trade-off to deploy the authoring environments for such very different domains, ensuring at the same time editing freedom and semantic data consistency. 0 0
Ontology-driven generation of wiki content and interfaces Interfaces
Model-View-Controller
OWL
OWiki
Ontology
New Rev. Hypermedia Multimedia English 2010 0 0
Customized edit interfaces for wikis via semantic annotations Editor
MediaWiki
Metadata
Semantics
Template
Web 2.0
CEUR Workshop Proceedings English 2009 Authoring support for semantic annotations represent the wiki way of the Semantic Web, ultimately leading to the wiki version of the Semantic Web's eternal dilemma: why should authors correctly annotate their content? The obvious solution is to make the ratio between the needed effort and the acquired advantages as small as possible. Two are, at least, the specificities that set wikis apart from other Web-accessible content in this respect: social aspects (wikis are often the expression of a community) and technical issues (wikis are edited "on-line"). Being related to a community, wikis are intrinsically associated to the model of knowledge of that community, making the relation between wiki content and ontologies the result of a natural process. Being edited on-line, wikis can benefit from a synergy of Web technologies that support all the information sharing process, from authoring to delivery. In this paper we present an approach to reduce the authoring effort by providing ontology-based tools to integrate models of knowledge with authoring-support technologies, using a functional approach to content fragment creation that plays nicely with the "wiki way" of managing information. 0 0