Big data sets and powerful computing capacity have transformed scholarly inquiry across many disciplines. While the impact of data-intensive research methodologies is perhaps most distinct in the natural and social sciences, the humanities have also benefited from these new analytical tools. While full-text data is necessary to study topics such…

Presents a method for extracting maximal frequent sequences in a set of documents. A maximal frequent sequence is a sequence of words that is frequent in the document collection and is not contained in any other longer frequent sequence. Frequent maximal sequences can be used as content descriptors for documents. (MES)

Describes the use of a highly parallel array processor for pattern matching operations in a bibliographic retrieval system. The discussion covers the hardware and software features of the processor, the pattern matching algorithm used, and the results of experimental tests of the system. (37 references) (Author/CLB)

Based on coexistence frequency of pairs of words or phrases, coword analysis is used to discover linkages among subjects in a research field and thus to trace the development of science. This article reviews the development of coword analysis, summarizes the advantages and disadvantages of this method, and discusses several research issues.…

An example of semantic pattern analysis, based on keywords selected from documents grouped by bibliographical coupling, is used to demonstrate the methodological aspects of knowledge discovery in bibliographic databases. Frequency distribution patterns suggest the existence of a common intellectual base with a wide range of specialties and…

Identifies some of the problems the foreign language barrier creates in the handling of scientific and technical texts in Brazil and suggests the creation of some automated tools to overcome these problems. It is suggested that international efforts to maximize access to technical and scientific information will improve multilingual communication…