combinations of representations. Another human tendency is to continually attempt to solve a problem by inventing the ultimate representation for persistent data. For the problem of data inter-operability this tendency manifests as a series of generations of database technology with corresponding persistent

expectations of end-to-end connectivity and node resources. The architecture operates as an overlay above the transport layers of the networks it interconnects, and provides key services such as in-network data storage and retransmission, interoperable naming, authenticated forwarding and a coarse

We revisit memory hierarchy design viewing memory as an inter-operation communication agent. This perspective leads to the development of novel methods of performing inter-operation memory communication: (1) We use data dependence prediction to identify and link dependent loads and stores so

the only thing they are good at: Working on large amounts of data at incredible speed. This is where the human fails. However, data must be aggregated in such a way that it results in information that conveys operational meaning to the commander. This is where information technologies alone fail, miserably

This paper reports the progress made in managing the heterogeneities that arise in interoperating medical information systems. The approach taken is to define a domain ontology through the use of a reference model which allows for system evolution. Use is made of a five layer information

discover and share the grid workload in a more timely way among the federated grid nodes. This model eases the process to collect, analyze, transfer and use the grid performance data and guarantees the grid workloads are managed in a decentralized interoperable way.

Interoperability is the challenge involved in getting soft-ware components to work together. This working session discusses in depth the state of the art in reengineering tool interoperability. A distinction is made between data inter-operability and service interoperability. The limitations

future resource requirements for efficient maintenance based on these data.

comprehensive framework designed to support prioritization, avoidance of unnecessary work, and on-demand result production over distributed, unreliable, bursty, disordered data sources, typical of many streams. We propose a form of inter-operator feedback, which flows against

Recently, NLP researches have advanced using F-scores, precisions, and recalls with gold standard data as evaluation measures. However, such evaluations cannot capture the different behaviors of varying NLP tools or the different behaviors of a NLP tool that depends on the data and domain in which