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Gulsoy, Gunhan – ProQuest LLC, 2013
New experimental methods has resulted in increasing amount of genetic interaction data to be generated every day. Biological networks are used to store genetic interaction data gathered. Increasing amount of data available requires fast large scale analysis methods. Therefore, we address the problem of querying large biological network datasets.…
Descriptors: Biological Sciences, Biomedicine, Databases, Genetics
Yuan, Dayu – ProQuest LLC, 2013
Graphs are widely used to model structures and relationships of objects in various scientific and commercial fields. Chemical molecules, proteins, malware system-call dependencies and three-dimensional mechanical parts are all modeled as graphs. In this dissertation, we propose to mine and index those graph data to enable fast and scalable search.…
Descriptors: Graphs, Data Collection, Information Retrieval, Databases

Steinacker, Ivo – Journal of the American Society for Information Science, 1974
An algorithm is proposed to solve the problem of sequential indexing which does not use any grammatical or semantic analysis, but follows the principle of emulating human judgement by evaluation of machine-recognizable attributes of structured word assemblies. (Author)
Descriptors: Algorithms, Automatic Indexing, Databases, Indexing
Soergel, Dagobert – Drexel Library Quarterly, 1982
This discussion of the general principles of structure and construction of numeric databases introduces the concept of data points, their relationship to each other, and their storage in a nonredundant way. The collection of numeric data and their integration into the database structure are explained. Eight references are cited. (EJS)
Descriptors: Classification, Data Collection, Data Processing, Databases
Weller, Carolyn R., Ed. – 1992
Rules and guidelines are provided for ERIC catalogers and editors engaged in capturing bibliographic data for the documents and journal articles entered into the ERIC database. A general discussion of the principles of ERIC cataloging, definitions used, use of mandatory vs. optional data elements, etc. is provided in the Introduction. The body…
Descriptors: Cataloging, Check Lists, Classification, Databases
Brandhorst, Ted, Ed. – 1982
Rules and guidelines are provided for ERIC catalogers and editors engaged in capturing bibliographic data on the documents and journal articles entered into the ERIC database. The material is organized by data element: Accession Number, Price Code, Pagination, Publication Date, Title, Journal Citation, Language, Publication Type, Descriptors,…
Descriptors: Cataloging, Check Lists, Classification, Databases
And Others; Prywes, Noah S. – Information Storage and Retrieval, 1974
Reports on a series of programs that have been developed to process data bases, consisting of textual items, and to index and arrange (classify) the data items in accordance with an automatically generated classification system. (Author)
Descriptors: Automatic Indexing, Automation, Classification, Computer Programs
Nicholas, David; And Others – 1975
This report is in two parts; the first part deals with a construction of a data base for bibliometric studies. The second part provides a detailed account of the results of those studies. Needs for a data base, the search for a possible candidate, and the decision to build the Check List of Social Sciences Serials (CLOSSS) are explained in the…
Descriptors: Bibliographies, Check Lists, Data Collection, Databases

Sustik, Joan M.; Brooks, Terrence A. – Journal of the American Society for Information Science, 1983
Describes applications in variety of settings of videodiscs as tools of information retrieval with online databases, identifies underlying technical capabilities, and discusses five operations required to implement any application: coordinating diverse formats; indexing; physically arranging items on disc; designing input, search, and output;…
Descriptors: Computer Oriented Programs, Databases, Display Systems, Illustrations
Regazzi, John J. – 1978
The indexing and online searching of data bases have both conflicting and complementary structures, determined in part by the choice of indexing language. In the planning of a machine readable system, the Foundation Center, administrator of two data bases, initially chose a natural language for the lower cost, more rapid implementation, and…
Descriptors: Cost Effectiveness, Databases, Indexing, Information Retrieval
Gaillardin, R.; And Others – 1980
This report on the multidisciplinary PASCAL database describes the files and the indexing rules for chemistry, biology, and medicine. PASCAL deals with all aspects of chemistry within two subfiles whose combined yearly growth is about 100,000 references. The Biopascal file, organized in the two subfiles of Plant Science and Biology and Medicine,…
Descriptors: Biology, Chemistry, Computers, Data Processing

Smeaton, A. F.; van Rijsbergen, C. J. – Information Processing and Management, 1986
Review of office filing facility filing and retrieval mechanisms for unstructured and mixed media information focuses on free text methods. Also discussed are the state of the art in handling voice and image data, problems with searching text surrogates to implement free text content retrieval, and work of Project Minstrel. (Author/MBR)
Descriptors: Artificial Intelligence, Data Processing, Databases, Filing
Brandhorst, Ted, Ed. – 1992
This document describes the major organizational components of the Educational Resources Information Center (ERIC) system, the interactions between those components, and the major products and services provided by those components. (WTB)
Descriptors: Abstracting, Cataloging, Databases, Documentation
Houston, Jim, Ed. – 1992
Rules and guidelines are provided for subject indexing in the ERIC system. The principle of "subject access" is discussed with particular reference to "coordinate indexing," which involves designating subject content by unit terms (or tags) that may be put together or "coordinated" for subsequent retrieval. The nature…
Descriptors: Check Lists, Coordinate Indexes, Databases, Indexing
Barnett, Lynn, Ed.; Houston, Jim, Ed. – 1992
Subject indexing in ERIC is performed by subject specialists across 16 geographically dispersed ERIC Clearinghouses, each responsible for a different niche or aspect of educational information. This phenomenon, combined with the broadness of the education field and variability of terminology therein, has led to the development at the…
Descriptors: Check Lists, Clearinghouses, Databases, Decentralization