39,859 research outputs found
trackr: A Framework for Enhancing Discoverability and Reproducibility of Data Visualizations and Other Artifacts in R
Research is an incremental, iterative process, with new results relying and
building upon previous ones. Scientists need to find, retrieve, understand, and
verify results in order to confidently extend them, even when the results are
their own. We present the trackr framework for organizing, automatically
annotating, discovering, and retrieving results. We identify sources of
automatically extractable metadata for computational results, and we define an
extensible system for organizing, annotating, and searching for results based
on these and other metadata. We present an open-source implementation of these
concepts for plots, computational artifacts, and woven dynamic reports
generated in the R statistical computing language
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Learning from AI : new trends in database technology
Recently some researchers in the areas of database data modelling and knowledge representations in artificial intelligence have recognized that they share many common goals. In this survey paper we show the relationship between database and artificial intelligence research. We show that there has been a tendency for data models to incorporate more modelling techniques developed for knowledge representations in artificial intelligence as the desire to incorporate more application oriented semantics, user friendliness, and flexibility has increased. Increasing the semantics of the representation is the key to capturing the "reality" of the database environment, increasing user friendliness, and facilitating the support of multiple, possibly conflicting, user views of the information contained in a database
Natural language processing
Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems
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