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Sensing presence (presense) ontology: User modelling in the semantic sensor web
- In Proceedings of the ESWC Workshop on User Profile Data on the Social Semantic Web (UWeb
, 2011
"... Abstract. Increasingly, people’s digital identities are attached to, and expressed through, their mobile devices. At the same time digital sensors pervade smart environments in which people are immersed. This paper explores different per-spectives in which users ’ modelling features can be expressed ..."
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Abstract. Increasingly, people’s digital identities are attached to, and expressed through, their mobile devices. At the same time digital sensors pervade smart environments in which people are immersed. This paper explores different per-spectives in which users ’ modelling features can be expressed through the infor-mation obtained by their attached personal sensors. We introduce the PreSense Ontology, which is designed to assign meaning to sensors ’ observations in terms of user modelling features. We believe that the Sensing Presence (PreSense) Ontology is a first step toward the integration of user modelling and “smart envi-ronments”. In order to motivate our work we present a scenario and demonstrate how the ontology could be applied in order to enable context-sensitive services.
Equation Modeling
"... This paper investigates the relationship between personality traits and their Information Technology (IT) adoption. The study used the Five Factor Model (FFM) to assess the personality of individual users who adopt social networking technologies using their mobile devices. This research is conducted ..."
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This paper investigates the relationship between personality traits and their Information Technology (IT) adoption. The study used the Five Factor Model (FFM) to assess the personality of individual users who adopt social networking technologies using their mobile devices. This research is conducted among 320 social networking users in Thailand. Based on the theoretical background of Technology Acceptance Model (TAM) and FFM, a conceptual model is developed and empirically tested. The study found that extraversion, agreeableness are positively and significantly influenced social networking behavior. The results also re-veal that neuroticism and conscientiousness are negatively associated with social networking behavior. The results of the study will help the market-ers to identify target segments and implement communication tools more effectively over social networking sites.
e-Business and Social Networks, 1 e-Business & Social Networks: Tapping Dynamic Niche Markets Using Language-Action & Artificial Intelligence
"... Abstract. “That social networks are hard to penetrate ” is an often given reason for recent corporate investment decreases in this technology. The cause is the traditional mass market perspective: firms use social networks to connect with, and eavesdrop on, customers. The result: online ads weakly a ..."
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Abstract. “That social networks are hard to penetrate ” is an often given reason for recent corporate investment decreases in this technology. The cause is the traditional mass market perspective: firms use social networks to connect with, and eavesdrop on, customers. The result: online ads weakly aligned to customer conversations. One alternative: adopt a Language–Action Perspective; identify the market created by a conversation in a social network. The result: online ads strongly aligned to that conversation. One measure of this alignment is the mental distance between the intent of a social network conversation and the intent of the online ads that surround it. This paper will: explore the nature of “intention” in social networks, introduce its elements, show how these elements can create data and software architecture, and show how to create better online ads.
Excavating Business Intelligence from Social Media
"... Social media technologies have changed the way individuals, teams and organizations communi-cate. Today, social networking sites, blogs, and forums, are used as channels of communication be- ..."
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Social media technologies have changed the way individuals, teams and organizations communi-cate. Today, social networking sites, blogs, and forums, are used as channels of communication be-
mobile telecoms service brands in Greece
"... Akoumianakis and Chris Kimble Purpose – Data from social media (SM) has grown exponentially and created new opportunities for businesses to supplement their business intelligence (BI). However, there are many different platforms all of which are in a constant state of evolution. The purpose of this ..."
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Akoumianakis and Chris Kimble Purpose – Data from social media (SM) has grown exponentially and created new opportunities for businesses to supplement their business intelligence (BI). However, there are many different platforms all of which are in a constant state of evolution. The purpose of this paper is to describe a generic methodology for the gathering of data from SM and transforming it into valuable BI. Design/methodology/approach – The approach taken is termed virtual excavation and builds on the similarities between the manipulation of technological artefacts virtual communities using various forms of SM and the excavation and analysis of physical artefacts found in archaeological settlements. Findings – The paper reports on a case study using this technique that looks at the Facebook fan pages of three mobile telecommunications service providers in Greece. The paper identifies many of the standard BI indicators as well as demonstrating that additional information relating to cross-page use can be collected by looking at how users manipulate
