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A searcher in MARIAN is a class manager that can map abstract descriptions into weighted sets of matching class instances. This presentation focuses on linked-based, class-based, node-based, and context-based searchers.
Evaluation in Information Retrieval
This module addresses the methods used to evaluate an Information Retrieval system. We focus on evaluating a system using relevance and apply the knowledge by using TREC_EVAL.
This module covers use of the R language for performing the statistical analysis needed for several information retrieval (IR) techniques. The R language is extremely extensive and a powerful tool. R will not be covered ...
Indexing and Searching
This module covers the general principles of information retrieval (IR) models, indexing methods, and the working of search engines applicable to digital libraries.
This module covers the use of a thesaurus in several information retrieval (IR) techniques: index construction (e.g., tokenization, stemming, and lemmatization), robustness to query typographical errors (e.g., the use of ...
This module addresses the basic concepts of the Lemur platform that is specifically designed to facilitate research in Language Modeling and information retrieval.
Information Retrieval System Evaluation
The module introduces the evaluation in information retrieval. It focuses on the standard measurement of system effectiveness through relevance judgments.
High Performance Interoperable Digital Libraries in the Open Archives Initiative
The scope of this project is high performance mechanisms for interoperable distributed digital repositories. We apply Open Archives Initiative ideas and concepts to the storage and retrieval of electronic theses and ...
Half-Day Tutorial: Collecting, Analyzing, and Visualizing Tweets Using Open Source Tools
This tutorial introduces various open source tools and methods to archive tweets on a user's local machine and convert them into topic clouds for quick content analysis. For more in-depth techniques such as n-grams and ...
Extending Retrieval with Stepping Stones and Pathways
This project researches an alternative interpretation of user queries and presentation of the results. Instead of returning a ranked list of documents, the result of a query is a connected network of chains of evidence. ...