The document discusses 5 technology trends for 2013-2014: 1) the growth of mobile devices and applications, 2) personal cloud computing and storage, 3) the internet of things connecting physical devices, 4) advances in image processing, and 5) new interfaces using gestures. Mobile operating systems are dominated by smartphones and tablets, which access the internet, apps, and social media. Personal clouds allow sharing of emails, documents and data storage. The internet of things connects physical objects like home appliances and devices like Google Glass. Image processing improves face detection and recognition. Gesture recognition emerges as a new interface method.
This document discusses ontology mapping. It begins with an introduction to the semantic web and ontologies. Ontology mapping is important for allowing different ontologies to be aligned and related. There are different types of ontology mapping including alignment, merging, and mapping. The document then surveys some popular ontology mapping techniques including GLUE, PROMPT, and QOM. It evaluates these techniques and discusses their inputs, outputs, and approaches. The document concludes that semantic web research is important for advancing web technologies and realizing the goals of web 3.0. Future work could involve developing new ontology mapping techniques and publishing research on existing mapping methods.
The document discusses 5 technology trends for 2013-2014: 1) the growth of mobile devices and applications, 2) personal cloud computing and storage, 3) the internet of things connecting physical devices, 4) advances in image processing, and 5) new interfaces using gestures. Mobile operating systems are dominated by smartphones and tablets, which access the internet, apps, and social media. Personal clouds allow sharing of emails, documents and data storage. The internet of things connects physical objects like home appliances and devices like Google Glass. Image processing improves face detection and recognition. Gesture recognition emerges as a new interface method.
This document discusses ontology mapping. It begins with an introduction to the semantic web and ontologies. Ontology mapping is important for allowing different ontologies to be aligned and related. There are different types of ontology mapping including alignment, merging, and mapping. The document then surveys some popular ontology mapping techniques including GLUE, PROMPT, and QOM. It evaluates these techniques and discusses their inputs, outputs, and approaches. The document concludes that semantic web research is important for advancing web technologies and realizing the goals of web 3.0. Future work could involve developing new ontology mapping techniques and publishing research on existing mapping methods.