Computing for Human Experience
This event took place on Friday 10 September 2010 at 11:30
Amit Sheth Kno.e.sis, Wright State University
Today, systems, devices, sensors, data and human participation enable something more than a “human instructs machine” paradigm. Traditionally, we had to artificially simplify the complexity and richness of the real world to constrained computer models and languages for more efficient computation. Now, mobile and fixed sensors as well as human-in-the-loop sensing, social computing and ubiquitous Web access work in concert to enrich interactions, information sharing and collective intelligence. Increasingly intelligent systems and participatory sensing capture observations that can be contextually integrated and enhanced to create awareness of events and situations— they not only deal with documents or entities but also support situational awareness by incorporating thematic (“what”), temporal (“when”), spatial (”where”), causal (“why”) and other relationships between objects and events. This positions us for what we call an era of “computing for human experience” (CHE) that supports a seamless interaction between the physical world and the cyber world, which encompass integrated capabilities in sensing, perceiving and recognizing the physical world (e.g., in extending sensory engagement with environments and narrowing the gaps between the real world and computing). It also uses “humans as sensors” of intensions and emotions, historical facts or background knowledge and community generated knowledge or collective intelligence. Semantic (Web) techniques and technologies (annotations, conceptual models/ontologies and reasoning) play a central role in important tasks such as building context, integrating online and offline interactions, and help enhance human experience with focus on natural activities while relegating explicit computing and communication activities to background.
In this talk we will give a brief background of Kno.e.sis and discuss instances of semantics-empowered services computing, social networking and sensor Web that point to early capabilities towards CHE. An article in IEEE Internet Computing provides further information: http://bit.ly/HumanExperience
This event took place on Friday 10 September 2010 at 11:30
Today, systems, devices, sensors, data and human participation enable something more than a “human instructs machine” paradigm. Traditionally, we had to artificially simplify the complexity and richness of the real world to constrained computer models and languages for more efficient computation. Now, mobile and fixed sensors as well as human-in-the-loop sensing, social computing and ubiquitous Web access work in concert to enrich interactions, information sharing and collective intelligence. Increasingly intelligent systems and participatory sensing capture observations that can be contextually integrated and enhanced to create awareness of events and situations— they not only deal with documents or entities but also support situational awareness by incorporating thematic (“what”), temporal (“when”), spatial (”where”), causal (“why”) and other relationships between objects and events. This positions us for what we call an era of “computing for human experience” (CHE) that supports a seamless interaction between the physical world and the cyber world, which encompass integrated capabilities in sensing, perceiving and recognizing the physical world (e.g., in extending sensory engagement with environments and narrowing the gaps between the real world and computing). It also uses “humans as sensors” of intensions and emotions, historical facts or background knowledge and community generated knowledge or collective intelligence. Semantic (Web) techniques and technologies (annotations, conceptual models/ontologies and reasoning) play a central role in important tasks such as building context, integrating online and offline interactions, and help enhance human experience with focus on natural activities while relegating explicit computing and communication activities to background.
In this talk we will give a brief background of Kno.e.sis and discuss instances of semantics-empowered services computing, social networking and sensor Web that point to early capabilities towards CHE. An article in IEEE Internet Computing provides further information: http://bit.ly/HumanExperience
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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