Learn More
With the booming of microblogs on the Web, people have begun to express their opinions on a wide variety of topics on Twitter and other similar services. Sentiment analysis on entities (e.g., products, organizations, people, etc.) in tweets (posts on Twitter) thus becomes a rapid and effective way of gauging public opinion for business marketing or social(More)
In this paper we present a prototype for capturing retail related consumer intent using multiple devices and in multimodal input formats such as text, audio, and still images. The prototype was used in a longitudinal user study to analyze the process that consumers go through in order to make purchasing decisions. Based on these findings, we recommend(More)
In this paper, we discuss challenges and provide solutions for capturing and maintaining accurate models of user profiles using semantic web technologies, by aggregating and sharing distributed fragments of user profile information spread over multiple services. Our framework for profile management allows for evolvable, extensible and expressive user(More)
In this paper we describe techniques for the discovery and construction of user profiles. Leveraging from the emergent data web, our system addresses the problem of sparseness of user profile information currently faced by both asserted and inferred profile systems. A profile mediator, that dynamically builds the most suitable user profile for a particular(More)
The rise of Web 2.0 with its increasingly popular social sites like Twitter, Facebook, blogs and review sites has motivated people to express their opinions publicly and more frequently than ever before. This has fueled the emerging field known as sentiment analysis whose goal is to translate the vagaries of human emotion into hard data. LCI is a social(More)
application management, auto-discovery, modeling, model-based discovery, software agents The increasing complexity of enterprise applications, the expanding number of networked machines, and the rapid deployment of Internet-based business applications (e-commerce), emphasize the importance and value of application management. One of the main problems in(More)
We propose to deploy and exploit a large number of inexpensive sensors to obtain information or trigger actions over a wide geographic area. Sensors may be of diverse physical natures: acoustic , IR, seismic, chemical, magnetic, thermal, etc. We describe here three major issues: (1) sensor distribution patterns, (2) local sensor frames, and (3) autonomous(More)
data stream, complex event processing, SOA, query plan, EPL All mission-critical applications read or generate raw data streams and require real-time processing of these streams to collect statistics, control flow and detect abnormal patterns. A trend which has gained strong momentum in different industry sectors is the use of Complex Event Processing (CEP)(More)