Abstract. Main restraints curbing a deep integration of Semantic Sensor Networks with complex and... more Abstract. Main restraints curbing a deep integration of Semantic Sensor Networks with complex and articulated architectures, basically reside in too elementary allowed discovery capabilities. Several studies agree advanced querying and retrieval mechanisms are needed to truly fulfill the potential of the SSN paradigm. This paper presents a novel SSN framework, supporting a resource discovery grounded on semantic-based matchmaking.
ABSTRACT Current technologies for Home and Building Automation (HBA) require an explicit interact... more ABSTRACT Current technologies for Home and Building Automation (HBA) require an explicit interaction with the user and allow a static set of operational scenarios, defined during system implementation. More flexible HBA solutions are needed to enable the so-called Ambient Intelligence, permitting an automatic coordination and control of appliances and subsystems located in a given environment.
Abstract Automatically finding suitable candidates in an organization to compose a team able to s... more Abstract Automatically finding suitable candidates in an organization to compose a team able to solve a given task is a typical problem in large companies. In this paper we present a Description Logics approach to Team Composition based on candidates technical knowledge and on tasks descriptions, modeled according to a skills ontology in ALE (D). The novelty of our approach is that our implemented service exploits standard-SQL querying expressiveness to emulate the proper reasoning procedures.
Abstract The paper presents a knowledge-based framework for skills and talent management based on... more Abstract The paper presents a knowledge-based framework for skills and talent management based on an advanced matchmaking between profiles of candidates and available job positions. Interestingly, informative content of top-k retrieval is enriched through semantic capabilities.
ABSTRACT We propose a ubiquitous learning approach useful not only to acquire knowledge in the tr... more ABSTRACT We propose a ubiquitous learning approach useful not only to acquire knowledge in the traditional educational meaning, but also to solve cross-environment everyday problems. By formalizing user request and profile through logic-based knowledge representation languages, a lightweight but semantically meaningful matchmaking process is executed in order to retrieve the most suitable learning resources.
The evolutionary radiation of dinosaurs in the Late Triassic and Early Jurassic was a pivotal eve... more The evolutionary radiation of dinosaurs in the Late Triassic and Early Jurassic was a pivotal event in the Earth's history but is poorly understood, as previous studies have focused on vague driving mechanisms and have not untangled different macroevolutionary components (origination, diversity, abundance and disparity). We calculate the morphological disparity (morphospace occupation) of dinosaurs throughout the Late Triassic and Early Jurassic and present new measures of taxonomic diversity. Crurotarsan archosaurs, the primary dinosaur 'competitors', were significantly more disparate than dinosaurs throughout the Triassic, but underwent a devastating extinction at the Triassic-Jurassic boundary. However, dinosaur disparity showed only a slight non-significant increase after this event, arguing against the hypothesis of ecological release-driven morphospace expansion in the Early Jurassic. Instead, the main jump in dinosaur disparity occurred between the Carnian and Norian stages of the Triassic. Conversely, dinosaur diversity shows a steady increase over this time, and measures of diversification and faunal abundance indicate that the Early Jurassic was a key episode in dinosaur evolution. Thus, different aspects of the dinosaur radiation (diversity, disparity and abundance) were decoupled, and the overall macroevolutionary pattern of the first 50Myr of dinosaur evolution is more complex than often considered.
Abstract. Main restraints curbing a deep integration of Semantic Sensor Networks with complex and... more Abstract. Main restraints curbing a deep integration of Semantic Sensor Networks with complex and articulated architectures, basically reside in too elementary allowed discovery capabilities. Several studies agree advanced querying and retrieval mechanisms are needed to truly fulfill the potential of the SSN paradigm. This paper presents a novel SSN framework, supporting a resource discovery grounded on semantic-based matchmaking.
ABSTRACT Current technologies for Home and Building Automation (HBA) require an explicit interact... more ABSTRACT Current technologies for Home and Building Automation (HBA) require an explicit interaction with the user and allow a static set of operational scenarios, defined during system implementation. More flexible HBA solutions are needed to enable the so-called Ambient Intelligence, permitting an automatic coordination and control of appliances and subsystems located in a given environment.
Abstract Automatically finding suitable candidates in an organization to compose a team able to s... more Abstract Automatically finding suitable candidates in an organization to compose a team able to solve a given task is a typical problem in large companies. In this paper we present a Description Logics approach to Team Composition based on candidates technical knowledge and on tasks descriptions, modeled according to a skills ontology in ALE (D). The novelty of our approach is that our implemented service exploits standard-SQL querying expressiveness to emulate the proper reasoning procedures.
Abstract The paper presents a knowledge-based framework for skills and talent management based on... more Abstract The paper presents a knowledge-based framework for skills and talent management based on an advanced matchmaking between profiles of candidates and available job positions. Interestingly, informative content of top-k retrieval is enriched through semantic capabilities.
ABSTRACT We propose a ubiquitous learning approach useful not only to acquire knowledge in the tr... more ABSTRACT We propose a ubiquitous learning approach useful not only to acquire knowledge in the traditional educational meaning, but also to solve cross-environment everyday problems. By formalizing user request and profile through logic-based knowledge representation languages, a lightweight but semantically meaningful matchmaking process is executed in order to retrieve the most suitable learning resources.
The evolutionary radiation of dinosaurs in the Late Triassic and Early Jurassic was a pivotal eve... more The evolutionary radiation of dinosaurs in the Late Triassic and Early Jurassic was a pivotal event in the Earth's history but is poorly understood, as previous studies have focused on vague driving mechanisms and have not untangled different macroevolutionary components (origination, diversity, abundance and disparity). We calculate the morphological disparity (morphospace occupation) of dinosaurs throughout the Late Triassic and Early Jurassic and present new measures of taxonomic diversity. Crurotarsan archosaurs, the primary dinosaur 'competitors', were significantly more disparate than dinosaurs throughout the Triassic, but underwent a devastating extinction at the Triassic-Jurassic boundary. However, dinosaur disparity showed only a slight non-significant increase after this event, arguing against the hypothesis of ecological release-driven morphospace expansion in the Early Jurassic. Instead, the main jump in dinosaur disparity occurred between the Carnian and Norian stages of the Triassic. Conversely, dinosaur diversity shows a steady increase over this time, and measures of diversification and faunal abundance indicate that the Early Jurassic was a key episode in dinosaur evolution. Thus, different aspects of the dinosaur radiation (diversity, disparity and abundance) were decoupled, and the overall macroevolutionary pattern of the first 50Myr of dinosaur evolution is more complex than often considered.
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Papers by M. Ruta