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Direct linkYuan, 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
Peer reviewedFrei, 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
Peer reviewedSparck Jones, K.; Van Rijsbergen, C. J. – Journal of Documentation, 1973
Substantial alterations to a system often have little or no effect on particular collections. This may be due to poor separation of relevant and non-relevant documents. The paper presents a procedure for characterizing this separation, which can show whether proposed modifications of the base system are likely to be useful. (8 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
Sparck Jones, Karen – Information Storage and Retrieval, 1973
Retrieval performance with automatic term classifications for three test collections has been variable. This paper attempts to discover why. The real difference between the collections is in the separation of relevant from non-relevant documents. The separation is so poor that classification cannot be expected to succeed. (14 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
Peer reviewedJones, K. Sparck – Information Processing and Management, 1979
Describes large scale experiments to test the value of index term weighting based on relevance information, and presents results showing that weighting leads to remarkable improvements in retrieval performance. (Author/CWM)
Descriptors: Automatic Indexing, Experiments, Information Retrieval, Performance Factors
Peer reviewedCaid, William R.; And Others – Information Processing & Management, 1995
The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using…
Descriptors: Automatic Indexing, Computation, Conferences, Context Effect
SELYE, HANS – 1967
THIS REPORT IS A BRIEF REVIEW OF RESULTS OF AN EXPERIMENT TO DETERMINE THE INFORMATION RETRIEVAL EFFICIENCY OF A MANUAL SPECIALIZED INFORMATION SYSTEM BASED ON 700,000 DOCUMENTS IN THE FIELDS OF ENDOCRINOLOGY, STRESS, MAST CELLS, AND ANAPHYLACTOID REACTIONS. THE SYSTEM RECEIVES 30,000 PUBLICATIONS ANNUALLY. DETAILED INFORMATION IS REPRESENTED BY…
Descriptors: Bibliographies, Codification, Documentation, Evaluation
Westat Research, Inc., Rockville, MD. – 1968
The following topics are included in this document: (1) evaluation of plans for implementation of new systems; (2) macroevaluation of document retrieval systems; (3) microevaluation of retrospective searching; (4) evaluation of document acquisition functions; evluation of indexing and indexing languages; (5) evaluation of document screening; (6)…
Descriptors: Costs, Documentation, Evaluation Methods, Experiments
Peer reviewedWoodruff, 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
