caa a22 4500 463251482 CHVBK 20180405153341.0 cr unu---uuuuu 170326e20070601xx s 000 0 eng 10.1007/s10791-007-9023-y doi (NATIONALLICENCE)springer-10.1007/s10791-007-9023-y Result merging methods in distributed information retrieval with overlapping databases [Elektronische Daten] [Shengli Wu, Sally McClean] In distributed information retrieval systems, document overlaps occur frequently among different component databases. This paper presents an experimental investigation and evaluation of a group of result merging methods including the shadow document method and the multi-evidence method in the environment of overlapping databases. We assume, with the exception of resultant document lists (either with rankings or scores), no extra information about retrieval servers and text databases is available, which is the usual case for many applications on the Internet and the Web. The experimental results show that the shadow document method and the multi-evidence method are the two best methods when overlap is high, while Round-robin is the best for low overlap. The experiments also show that [0,1] linear normalization is a better option than linear regression normalization for result merging in a heterogeneous environment. Springer Science+Business Media, LLC, 2007 Result merging nationallicence Distributed information retrieval nationallicence Overlapping databases nationallicence Wu Shengli School of Computing and Mathematics, University of Ulster, Northern Ireland, UK aut McClean Sally School of Computing and Mathematics, University of Ulster, Northern Ireland, UK aut Information Retrieval Kluwer Academic Publishers 10/3(2007-06-01), 297-319 1386-4564 10:3<297 2007 10 10791 https://doi.org/10.1007/s10791-007-9023-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10791-007-9023-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wu Shengli School of Computing and Mathematics, University of Ulster, Northern Ireland, UK aut NATIONALLICENCE 700 1- McClean Sally School of Computing and Mathematics, University of Ulster, Northern Ireland, UK aut NATIONALLICENCE 773 0- Information Retrieval Kluwer Academic Publishers 10/3(2007-06-01), 297-319 1386-4564 10:3<297 2007 10 10791 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer