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Table 3 Information retrieved

in DOI 10.1007/s10489-006-8866-z Multi-agent plan based information gathering
by David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina, D. Camacho, R. Aler, D. Borrajo, J. M. Molina

Table 1 Keyword combinations used to retrieve papers for the three knowledge domains

in unknown title
by unknown authors
"... In PAGE 4: ... The concepts of resilience, vulnerability and adaptation have developed over time, and have been used in various ways, often unrelated to the study on HDGEC. Relevant papers that did not use the keywords given in Table1 or did not cite the seeds listed in Table 2 were not retrieved. In sum, while we aimed for the best and most complete set of relevant publications, we might have missed important contributions.... ..."

Table 1: Differences between Web Information Retrieval and traditional Information Retrieval

in unknown title
by unknown authors

Table 1: Information filtering vs. information retrieval

in unknown title
by unknown authors
"... In PAGE 5: ...Differences between IF and IR are described in Table1 . The retrieval models described above are applied to IF [7], [11].... ..."

Table 2: Statistics on information retrieval test collections

in Viewing Morphology as an Inference Process
by Robert Krovetz 1993
"... In PAGE 2: ... Each collection covered a di erent domain (computer science, newspaper stories, physics, and law), and they represent a wide range in terms of average document length and overall number of documents. The statistics for the collections are given in Table2 ; each collection corresponds to the domain just mentioned, respectively. The statistics indicate that the WEST documents are much longer than those in the other collections.... ..."
Cited by 200

Table 1. Approaches in (Semantic) Web information retrieval

in Sindice.com: Weaving the open linked data
by Giovanni Tummarello, Renaud Delbru, Eyal Oren 2007
"... In PAGE 12: ... Finally, none of these engines provide indexing based on \linked data quot; paradigm reasoning, SPARQL endpoint indexing and the ability to index large repositories consciously through the Sitemap extention. Table1 shows an overall comparison of our approach against on the one hand traditional Web search engines such as Google or Yahoo! and on the other hand Semantic Web (SW) search engines such as SWSE or Swoogle. Whereas tradi- tional Web search focuses on document retrieval for HTML documents, and SW search focuses on building a global database of retrieved triples, we provide a doc- ument retrieval service for RDF documents.... ..."
Cited by 2

Table 3: The confusion matrix for information retrieval.

in Extraction of Keyphrases from Text: Evaluation of Four Algorithms
by Peter Turney, Council Canada 1997
Cited by 25

Table 1. Information retrieval tasks given to subjects

in Design Guidelines and User-Centred Digital Libraries
by Yin Leng Theng, Elke Duncker, Norliza Mohd-nasir, George Buchanan, Harold Thimbleby 1999
"... In PAGE 3: ... The subjects could choose how long to spend on each task. Table1 shows the two tasks. Table 1.... ..."
Cited by 9

Table 1. Several Private Information Retrieval Schemes

in Private Information Retrieval Based on the Subgroup Membership Problem
by Akihiro Yamamura, Taiichi Saito 2001
Cited by 6

Table 2. Notation used in the information retrieval models.

in ITC-irst at CLEF 2000: Italian Monolingual Track
by Nicola Bertoldi, Marcello Federico 2001
Cited by 3
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