Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mark D. Feblowitz"'
Autor:
Shirin Sohrabi, Michael Katz, Oktie Hassanzadeh, Anton V. Riabov, Octavian Udrea, Mark D. Feblowitz
Publikováno v:
AI Communications. 32:1-13
Autor:
Kavitha Srinivas, Mark D. Feblowitz, Michael Katz, Debarun Bhattacharjya, Shirin Sohrabi, Oktie Hassanzadeh, Michael P. Perrone
Publikováno v:
AAAI
In this demonstration, we present a system for mining causal knowledge from large corpuses of text documents, such as millions of news articles. Our system provides a collection of APIs for causal analysis and retrieval. These APIs enable searching f
Autor:
Debarun Bhattacharjya, Shirin Sohrabi, Michael Katz, Michael P. Perrone, Mark D. Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas
Publikováno v:
IJCAI
In this paper, we study the problem of answering questions of type "Could X cause Y?" where X and Y are general phrases without any constraints. Answering such questions will assist with various decision analysis tasks such as verifying and extending
Publikováno v:
IJCAI
We present the IBM Research Scenario Planning Advisor (SPA), a decision support system that allows users to generate diverse alternate scenarios of the future and enhance their ability to imagine the different possible outcomes, including unlikely bu
Publikováno v:
International Journal of Software Science and Computational Intelligence. 1:32-50
Composition of software applications from component parts in response to high-level goals is a long-standing and highly challenging goal. We target the problem of composition in flow-based information processing systems and demonstrate how applicatio
Autor:
Sol Greenspan, Mark D. Feblowitz
Publikováno v:
Requirements Engineering. 3:182-201
Publikováno v:
ICWS
The Web services research community has proposed a number of approaches for service composition, ranging from manual to semi-automatic to completely automatic. However, it is often difficult to take independently developed services and compose them,
Publikováno v:
ICSC
One of the goals of mobile and ubiquitous computing is to enable ad-hoc interactions between different kinds of entities to help end-users perform different kinds of tasks. These entities, which include devices and services, may either be mobile or s
Publikováno v:
IEEE SCC (1)
In this paper, we propose a novel way of modeling Web services using folksonomies. The key advantage of our model is that it allows a large number of users to participate, easily, in annotating services with tags. This is in contrast to more expressi
Publikováno v:
WWW
With the emergence of Yahoo Pipes and several similar services, data mashup tools have started to gain interest of business users. Making these tools simple and accessible ton users with no or little programming experience has become a pressing issue