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de Sousa Netto, Manoel Camilo; Pinto, Adilson Luiz; Semeler, Alexandre Ribas – Education for Information, 2019
Law enforcement agencies in Brazil communicate with each other using documents formalized in a language predominantly written in pure text. However, postmodern criminal organizations play complex roles, making it difficult to describe their actions using only text. Visual memory is relevant to learning and thus should be applied. Learning about…
Descriptors: Foreign Countries, Visual Learning, Crime, Law Enforcement

Dreher, Mariam Jean, Ed.; Guthrie, John T., Ed. – Contemporary Educational Psychology, 1993
The growing body of research investigating how people search for or locate information in a variety of materials is reviewed and extended. Although the nature of materials and the complexity of locating tasks varies in the seven articles, each aims to elucidate the conditions that affect search processes. (SLD)
Descriptors: Access to Information, Cognitive Processes, Elementary Secondary Education, Graphs

Frei, H. P.; Stieger, D. – Information Processing & Management, 1995
Highlights semantic links and shows how the semantic content of hypertext links can be used for information retrieval. Discussion includes indexing and retrieval algorithms that exploit link content and node content; retrieval strategies exploiting semantic links, including conventional retrieval and constrained spreading activation techniques;…
Descriptors: Algorithms, Experiments, Graphs, Hypermedia
Tenopir, Carol; Hover, Katie – Online, 1993
Examines how online versions of databases vary on different systems. Differences are grouped into three categories: obvious differences, including easily available information such as updating, dates covered, and price; database choice, including subfile structure, field structure, and content; and system choice, including support and system…
Descriptors: Bibliographic Databases, Full Text Databases, Graphs, Information Retrieval

Woodruff, Allison Gyle; Plaunt, Christian – Journal of the American Society for Information Science, 1994
Presents an algorithm that automatically extracts words and phrases containing geographic place names or characteristics from a text document and uses them as input to database functions that use spatial reasoning to approximate statistically the geoposition referenced in the text. Preliminary results and future work are discussed. (28 references)…
Descriptors: Algorithms, Automatic Indexing, Computer System Design, Evaluation