IBM

About: IBM is a company organization based out in Armonk, New York, United States. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134567 authors who have published 253905 publications receiving 7458795 citations. The organization is also known as: International Business Machines Corporation & Big Blue.

Transforming the enterprise: the alignment of business and information technology strategies

Abstract: The strategic use of information technology (I/T) is now and has been a fundamental issue for every business. In essence, I/T can alter the basic nature of an industry. The effective and efficient utilization of information technology requires the alignment of the I/T strategies with the business strategies, something that was not done successfully in the past with traditional approaches. New methods and approaches are now available. Thes trategic alignment framework applies the Strategic Alignment Model to reflect the view that business success depends on the linkage of business strategy, information technology strategy, organizational infrastructure and processes, and I/T infrastructure and processes. In this paper, we look at why it may not be sufficient to work on any one of these areas in isolation or to only harmonize business strategy and information technology. One reason is that, often, too much attention is placed on technology, rather than business, management, and organizational issues. The objective is to build an organizational structure and set of business processes that reflect the interdependence of enterprise strategy and information technology capabilities. The attention paid to the linkage of information technology to the enterprise can significantly affect the competitiveness and efficiency of the business. The essential issue is how information technology can enable the achievement of competitive and strategic advantage for the enterprise.

An analysis of first-order logics of probability

Abstract: We consider two approaches to giving semantics to first order logics of probability. The first approach puts a probability on the domain, and is appropriate for giving semantics to formulas involving statistical information such as "The probability that a (typical) bird flies is greater than. 9." The second approach puts a probability on possible worlds, and is appropriate for giving semantics to formulas describing degrees of belief, such as "The probability that Tweety (a particular bird) flies is greater than.9." We show that the two approaches can be easily combined, allowing us to reason in a straightforward way about statistical information and degrees of belief. We then consider axiornatizing these logics. In general, it can be shown that no complete axiomatization is possible. We provide axiom systems that are sound and complete in cases where a complete axiomatization is possible, showing that they do allow us capture a great deal of interesting reasoning about probability.

Beyond Fitts' law: models for trajectory-based HCI tasks

Abstract: As a developing discipline, research results in the field of human computer interaction (HCI) tends to be "soft". Many workers in the field have argued that the advancement of HCI lies in "hardening" the field with quantitative and robust models. In reality, few theoretical, quantitative tools are available in user interface research and development. A rare exception to this is Fitts' law. Extending information theory to human perceptual-motor system, Paul Fitts (1954) found a logarithmic relationship that models speed accuracy tradeoffs in aimed movements. A great number of studies have verified and / or applied Fitts' law to HCI problems, such as pointing performance on a screen, making Fitts' law one of the most intensively studied topic in the HCI literature.

Web-a-where: geotagging web content

Abstract: We describe Web-a-Where, a system for associating geography with Web pages. Web-a-Where locates mentions of places and determines the place each name refers to. In addition, it assigns to each page a geographic focus --- a locality that the page discusses as a whole. The tagging process is simple and fast, aimed to be applied to large collections of Web pages and to facilitate a variety of location-based applications and data analyses.Geotagging involves arbitrating two types of ambiguities: geo/non-geo and geo/geo. A geo/non-geo ambiguity occurs when a place name also has a non-geographic meaning, such as a person name (e.g., Berlin) or a common word (Turkey). Geo/geo ambiguity arises when distinct places have the same name, as in London, England vs. London, Ontario.An implementation of the tagger within the framework of the WebFountain data mining system is described, and evaluated on several corpora of real Web pages. Precision of up to 82% on individual geotags is achieved. We also evaluate the relative contribution of various heuristics the tagger employs, and evaluate the focus-finding algorithm using a corpus pretagged with localities, showing that as many as 91% of the foci reported are correct up to the country level.