1,398 research outputs found
Temporalized logics and automata for time granularity
Suitable extensions of the monadic second-order theory of k successors have
been proposed in the literature to capture the notion of time granularity. In
this paper, we provide the monadic second-order theories of downward unbounded
layered structures, which are infinitely refinable structures consisting of a
coarsest domain and an infinite number of finer and finer domains, and of
upward unbounded layered structures, which consist of a finest domain and an
infinite number of coarser and coarser domains, with expressively complete and
elementarily decidable temporal logic counterparts.
We obtain such a result in two steps. First, we define a new class of
combined automata, called temporalized automata, which can be proved to be the
automata-theoretic counterpart of temporalized logics, and show that relevant
properties, such as closure under Boolean operations, decidability, and
expressive equivalence with respect to temporal logics, transfer from component
automata to temporalized ones. Then, we exploit the correspondence between
temporalized logics and automata to reduce the task of finding the temporal
logic counterparts of the given theories of time granularity to the easier one
of finding temporalized automata counterparts of them.Comment: Journal: Theory and Practice of Logic Programming Journal Acronym:
TPLP Category: Paper for Special Issue (Verification and Computational Logic)
Submitted: 18 March 2002, revised: 14 Januari 2003, accepted: 5 September
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Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach
Technological advances such as Service Oriented
Architecture (SOA) have increased the feasibility and
importance of effectively integrating information from
an ever widening number of systems within and across
enterprises. A key difficulty of achieving this goal
comes from the pervasive heterogeneity in all levels of
information systems. A robust solution to this problem
needs to be adaptable, extensible, and scalable. In this
paper, we identify the deficiencies of traditional
semantic integration approaches. The COntext
INterchange (COIN) approach overcomes these
deficiencies by declaratively representing data
semantics and using a mediator to create the necessary
conversion programs from a small number of
conversion rules. The capabilities of COIN is
demonstrated using an example with 150 data sources,
where COIN can automatically generate the over
22,000 conversion programs needed to enable
semantic interoperability using only six parametizable
conversion rules. This paper presents a framework for
evaluating adaptability, extensibility, and scalability of
semantic integration approaches. The application of
the framework is demonstrated with a systematic
evaluation of COIN and other commonly practiced
approaches.This work has been supported, in part, by MITRE Corp., the MIT-MUST project, the Singapore-MIT Alliance, and Suruga Bank
Raising Time Awareness in Model-Driven Engineering
International audienceThe conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mo-bilisation of companies into adopting it becomes increasingly important. Big data integration projects enable companies to capture their relevant data, to efficiently store it, turn it into domain knowledge, and finally monetize it. In this context, historical data, also called temporal data, is becoming increasingly available and delivers means to analyse the history of applications, discover temporal patterns, and predict future trends. Despite the fact that most data that today's applications are dealing with is inherently temporal current approaches, methodologies, and environments for developing these applications don't provide sufficient support for handling time. We envision that Model-Driven Engineering (MDE) would be an appropriate ecosystem for a seamless and orthogonal integration of time into domain modelling and processing. In this paper, we investigate the state-of-the-art in MDE techniques and tools in order to identify the missing bricks for raising time-awareness in MDE and outline research directions in this emerging domain
Environmental performance outcomes and indicators for indigenous peoples: Review of literature
The literature review in this report was the starting point for developing a MÄori research strand (2003-2009) within the Planning Under Co-operative Mandates (PUCM) research programme (1995-2009). An early task of the PUCM MÄori team was to review the international literature on environmental outcomes and indicators for indigenous peoples. This was in order to gain an understanding of what had been written on the subject and to become familiar with approaches taken by others that might provide lessons for the development of our proposed kaupapa MÄori outcomes and indicators framework and methodology, which was aimed at local government performance in Aotearoa/New Zealand. This current report is not intended to provide an exhaustive catalogue of writings on environmental performance outcomes and indicators for indigenous peoples, including MÄori. Rather, some of the more obvious and important writings are noted as a ready reference for others interested in this topic. Before detailing the approach we took in carrying out the review, the key terms, outcomes and indicators, are defined
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