By Ruth Kempson (auth.), Michael Beigl, Henning Christiansen, Thomas R. Roth-Berghofer, Anders Kofod-Petersen, Kenny R. Coventry, Hedda R. Schmidtke (eds.)
This publication constitutes the court cases of the seventh foreign and Interdisciplinary convention on Modeling and utilizing Context, CONTEXT 2011, held in Karlsruhe, Germany in September 2011.
The 17 complete papers and seven brief papers awarded have been conscientiously reviewed and chosen from fifty four submissions. additionally the ebook comprises keynote speeches and eight poster papers. They hide state of the art effects from the big variety of disciplines excited about context, together with the cognitive sciences (linguistics, psychology, philosophy, computing device technological know-how, neuroscience), the social sciences and association sciences, and all software areas.
Read Online or Download Modeling and Using Context: 7th International and Interdisciplinary Conference, CONTEXT 2011, Karlsruhe, Germany, September 26-30, 2011. Proceedings PDF
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Additional resources for Modeling and Using Context: 7th International and Interdisciplinary Conference, CONTEXT 2011, Karlsruhe, Germany, September 26-30, 2011. Proceedings
Example text
As we shall see, causal implicatures are important for understanding the structure of task-oriented dialogues. Such dialogues locate conversational acts in contexts containing both pending tasks and the acts which bring them about. The ability to infer causal implicatures lets us interleave decisions about “how to sequence actions” with decisions about “when to generate clarification requests”; as a result we can model task-oriented dialogue as an interactive process locally structured by negotiation of the underlying task.
But this does not hold in the current state of the virtual world (the key is on the table). The fact that there is an obstacle to carrying out the action is made explicit by Frolog, who verbalizes the failed precondition of the unlock action (turns (8) and (9)). ’ explicit in turn (10), only to find that another obstacle gets in the way: this time, the key is not accessible (turn (12)) because it is on the table and Frolog is sitting on the couch! Again the player is forced to externally bridge the intended CI, and so says “Stand up”.
The small set (S1) encompasses 350 triples with 50 devices and 2 smart spaces. The large set (S2) consists of 12000 triples with 2000 devices and 50 smart spaces. The first three queries, Q1, Q2 and Q3 are representative queries for all types of devices. The other two queries only appear on desktop type devices. Table 1 shows the resulting latency. The implementation for embedded devices can easily handle Q1 and Q2. As a result of the non-indexed query processing, Q3’s complexity increased the latency drastically.