We report on two studies in the TREC-2 program which investigated the effect on retrieval performance of combination of multiple representations of TREC topics. In one of the projects, five separate Boolean queries for each of the 50 TREC routing topics and 25 of the TREC ad hoc topics were generated by 75 experienced online searchers. Using the INQUERY retrieval system, these queries were both...

Abstract The field of science mapping has shown the power citation-based clusters for literature analysis, yet this technique barely been used information retrieval tasks. This work evaluates performance We simulated a search process with tree hierarchy and cluster selection algorithm. evaluated task finding relevant documents 25 systematic reviews. Our evaluation considered several trade-offs ...

We report on two studies in the TREC-2 program that investigated the effect on retrieval performance of combination of multiple representations of TREC topics. In one of the projects, five separate Boolean queries for each of the 50 TREC routing topics and 25 of the TREC ad hoc topics were generated by 75 experienced online searchers. Using the INQUERY retrieval system, these queries were both ...

This study is a bibliographic, descriptive, exploratory and qualitative research. The research took place in July August, 2021, the following databases: LILACS (Latin American Caribbean Literature on Health Sciences), MEDLINE (Medical Analysis Retrieval System Online) BDENF (Bibliographic Database Specialized Nursing Area. descriptors were used: Nursing; Urgency; Emergency Assistance, according...

Search by boolean queries suffers from a paradox of precision: if the query is too general (with respect to the corpus), the response is an avalanche; if the query is too specific, the response is empty. It is difficult to cast a query balanced on this scale of specificity that retrieves a reasonable number of items. Nowhere is this more evident, perhaps, than in search on the World Wide Web. F...

This paper studies the integration of lexical semantic knowledge in two related semantic computing tasks: ad-hoc information retrieval and computing text similarity. For this purpose, we compare the performance of two algorithms: (i) using semantic relatedness, and (ii) using a conventional extended Boolean model [13] with additional query expansion. For the evaluation, we use two different tes...

Cross-language information retrieval consists in providing a query in one language and searching documents in one or different languages. These documents are ordered by the probability of being relevant to the user's request. The highest ranked document is considered to be the most likely relevant document. The LIC2M cross-language information retrieval system is a weighted Boolean search engin...

Document Retrieval is the computerized process of producing a relevance ranked list of documents in response to an inquirer’s request by comparing their request to an automatically produced index of the documents in the system. Everyone uses such systems today in the form of web-based search engines. While evolving from a fairly small discipline in the 1940s, to a large, profitable industry tod...

TopX is a top-k retrieval engine for text and XML data. Unlike Boolean engines, it stops query processing as soon as it can safely determine the k top-ranked result objects according to a monotonous score aggregation function with respect to a multidimensional query. The main contributions of the thesis unfold into four main points, confirmed by previous publications at international conference...