Traditional Radio-Frequency IDentification (RFID) applications have been focused on replacing bar... more Traditional Radio-Frequency IDentification (RFID) applications have been focused on replacing bar codes in supply chain management. Leveraging a ubiquitous computing architecture, the chapter presents a framework allowing both quick decentralized on-line item discovery and centralized off-line massive business logic analysis, according to needs and requirements of supply chain actors. A semantic-based environment, where tagged objects become resources exposing to an RFID reader not a trivial identification code but a semantic annotation, enables tagged objects to describe themselves on the fly without depending on a centralized infrastructure. On the other hand, facing on data management issues, a proposal is formulated for an effective off-line multidimensional analysis of huge amounts of RFID data generated and stored along the supply chain.
This paper presents a mobile visual application aimed at fully exploiting semantics of request de... more This paper presents a mobile visual application aimed at fully exploiting semantics of request descriptions to enable advanced services. Distinguishing aspects of its underlying framework include semantic ranking of request results and logic-based explanation of matchmaking outcomes as well as the context identification and exploitation to select suitable resources. The GUI has been designed and implemented to be effective for handheld devices with reduced screen capabilities. It requires no knowledge of any logic principle to be fully used. The framework is general-purpose and could be easily adapted to different mobile scenarios. Here it is motivated and presented in a tourism case study.
The paper focuses on an implementation of concept abduction with an Object-oriented Database Mana... more The paper focuses on an implementation of concept abduction with an Object-oriented Database Management System (OODBMS). OWL-DL Knowledge Bases have been translated to an OO version to enable standard and non-standard inference services as queries over a DB suitable for handheld devices. The framework has been implemented and tested: early experiments are reported.
Nowadays, vehicle navigation systems have a limited effectiveness in satisfying user interests an... more Nowadays, vehicle navigation systems have a limited effectiveness in satisfying user interests and needs. They basically locate the user’s GPS position on a map and calculate a path toward a given destination. This paper presents an innovative semantic-based navigation system, acting as intelligent agent offering an advanced assistance during a road trip. It integrates a mobile matchmaker, which allows a knowledge-oriented destination discovery, in order to fully accomplish requirements of a user during her travel. The framework we propose is based on open standards, and particularly it uses crowd-sourced maps available under the OpenStreetMap project, where Points Of Interest (POI) of the basic cartography are semantically featured in order to enable novel services supporting a traveling user.
Traditional Radio-Frequency IDentification (RFID) applications have been focused on replacing bar... more Traditional Radio-Frequency IDentification (RFID) applications have been focused on replacing bar codes in supply chain management. Leveraging a ubiquitous computing architecture, the chapter presents a framework allowing both quick decentralized on-line item discovery and centralized off-line massive business logic analysis, according to needs and requirements of supply chain actors. A semantic-based environment, where tagged objects become resources exposing to an RFID reader not a trivial identification code but a semantic annotation, enables tagged objects to describe themselves on the fly without depending on a centralized infrastructure. On the other hand, facing on data management issues, a proposal is formulated for an effective off-line multidimensional analysis of huge amounts of RFID data generated and stored along the supply chain.
This paper presents a mobile visual application aimed at fully exploiting semantics of request de... more This paper presents a mobile visual application aimed at fully exploiting semantics of request descriptions to enable advanced services. Distinguishing aspects of its underlying framework include semantic ranking of request results and logic-based explanation of matchmaking outcomes as well as the context identification and exploitation to select suitable resources. The GUI has been designed and implemented to be effective for handheld devices with reduced screen capabilities. It requires no knowledge of any logic principle to be fully used. The framework is general-purpose and could be easily adapted to different mobile scenarios. Here it is motivated and presented in a tourism case study.
The paper focuses on an implementation of concept abduction with an Object-oriented Database Mana... more The paper focuses on an implementation of concept abduction with an Object-oriented Database Management System (OODBMS). OWL-DL Knowledge Bases have been translated to an OO version to enable standard and non-standard inference services as queries over a DB suitable for handheld devices. The framework has been implemented and tested: early experiments are reported.
Nowadays, vehicle navigation systems have a limited effectiveness in satisfying user interests an... more Nowadays, vehicle navigation systems have a limited effectiveness in satisfying user interests and needs. They basically locate the user’s GPS position on a map and calculate a path toward a given destination. This paper presents an innovative semantic-based navigation system, acting as intelligent agent offering an advanced assistance during a road trip. It integrates a mobile matchmaker, which allows a knowledge-oriented destination discovery, in order to fully accomplish requirements of a user during her travel. The framework we propose is based on open standards, and particularly it uses crowd-sourced maps available under the OpenStreetMap project, where Points Of Interest (POI) of the basic cartography are semantically featured in order to enable novel services supporting a traveling user.
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