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El Sherif, Reem; Langlois, Alexis; Pandu, Xiao; Nie, Jian-Yun; Thomas, James; Hong, Quan Nha; Pluye, Pierre – Education for Information, 2020
Mixed studies reviews include empirical studies with diverse designs (qualitative, quantitative and mixed methods). To make the process of identifying relevant empirical studies for such reviews more efficient, we developed a mixed filter that included different keywords and subject headings for quantitative (e.g., cohort study), qualitative…
Descriptors: Automation, Classification, Qualitative Research, Statistical Analysis
Alqady, Mohammed – ProQuest LLC, 2012
The construction industry is a knowledge intensive industry. Thousands of documents are generated by construction projects. Documents, as information carriers, must be managed effectively to ensure successful project management. The fact that a single project can produce thousands of documents and that a lot of the documents are generated in a…
Descriptors: Construction Industry, Information Management, Semantics, Content Analysis
Maabreh, Majdi A.; Al-Kabi, Mohammed N.; Alsmadi, Izzat M. – Program: Electronic Library and Information Systems, 2012
Purpose: This study is an attempt to develop an automatic identification method for Arabic web queries and divide them into several query types using data mining. In addition, it seeks to evaluate the impact of the academic environment on using the internet. Design/methodology/approach: The web log files were collected from one of the higher…
Descriptors: Semitic Languages, Web Sites, Search Engines, Classification

Ribeiro-Neto, Berthier; Laender, Alberto H. F.; de Lima, Luciano R. S. – Journal of the American Society for Information Science and Technology, 2001
Evaluates the retrieval performance of an algorithm that automatically categorizes medical documents, which consists in assigning an International Code of Disease (ICD) based on well-known information retrieval techniques. Reports on experimental results that tested precision using a database of over 20,000 medical documents. (Author/LRW)
Descriptors: Algorithms, Automation, Classification, Databases

Jones, K. Sparck; Barber, E. O. – Journal of the American Society for Information Science, 1971
The substitution information contained in automatically obtained keyword classification is most effectively exploited when: (1) strong similarity connectives only are utilized, (2) grouping is confined to non-frequent terms, (3) term groups are used to provide additional and not alternative descriptive items and (4) descriptor collection frequency…
Descriptors: Automatic Indexing, Automation, Classification, Information Retrieval

Figuerola, Carlos G.; Rodriguez, Angel Francisco Zazo; Berrocal, Jose Luis Alonso – Journal of Documentation, 2001
Describes an experiment in automatic categorization, which is based on the vector model, widely used in information retrieval. Shows how the construction of the class patterns was carried out. Discusses the evaluation measures adopted and results obtained in the automatic categorization of a collection of documents in Spanish. Describes the manual…
Descriptors: Automation, Classification, Information Retrieval, Information Sources
Borden, George A.; Nelson, William F. – Amer Doc, 1969
Descriptors: Automation, Classification, Indexing, Information Retrieval
Cornell Univ., Ithaca, NY. Dept. of Computer Science. – 1970
Part One, Automatic Content Analysis contains: "Content Analysis in Information Retrieval;""The 'Generality' Effect and the Retrieval Evaluation for Large Collections;""Automatic Indexing Using Bibliographic Citations" and "Automatic Resolution of Ambiguities from Natural Language Text." Part Two, Automatic…
Descriptors: Automatic Indexing, Automation, Classification, Content Analysis
Wellisch, Hans – Drexel Library Quarterly, 1974
Surveys the most recent developments in the complete revision or reform of the Universal Decimal Classification. (Author/PF)
Descriptors: Automation, Classification, Computers, Information Retrieval
Moberg, Zandra – Drexel Library Quarterly, 1974
Descriptors: Automatic Indexing, Automation, Classification, Databases
North American Rockwell Information Systems Co., Arlington, VA. – 1971
The Project Grant Information System (PGIS) is a computerized information indexing and retrieval system which supports the U.S. Office of Education. Its purpose is to provide OE officials with up-to-date information about the Office's discretionary grant programs and projects. The purpose of the Taxonomy is to provide: (1) those individuals who…
Descriptors: Automation, Classification, Education, Grants

Allan, James – Information Processing & Management, 1997
Presents entirely automatic methods for gathering documents for a hypertext, for linking the set, and for annotating those connections with a description of the type (that is, the nature) of the link. Document linking is based on information retrieval similarity measures with adjustable levels of strictness. Evaluation problems are also…
Descriptors: Automation, Classification, Documentation, Evaluation Problems

Agosti, Maristella; And Others – Information Processing & Management, 1997
Discusses the use of information retrieval techniques for the automatic authoring of hypertext. Presents a typology of hypertext links, describes examples of automatic construction of hypertext, and considers evaluation problems. (LRW)
Descriptors: Authoring Aids (Programming), Automation, Classification, Documentation
Patrick, Timothy B.; Sievert, MaryEllen C.; Popescu, Mihail – Proceedings of the ASIS Annual Meeting, 1999
Describes an alternative method for indexing images in an image database. The method consists of manually indexing a selected reference image, and then using retrieval by graphical content to automatically transfer the manually assigned index terms from the reference image to the images to be indexed. (AEF)
Descriptors: Automation, Classification, Computer Graphics, Databases
Schneider, John H. – Drexel Library Quarterly, 1974
Discusses the role of certain types of classifications in a modern automated environment. (Author/PF)
Descriptors: Automatic Indexing, Automation, Classification, Computers