Answering exact distance queries on real-world graphs with bounded performance guarantees
Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach ha...
Ausführliche Beschreibung
Autor*in: |
Xiang, Yang [verfasserIn] |
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Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2013 |
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Übergeordnetes Werk: |
Enthalten in: The VLDB journal - Springer Berlin Heidelberg, 1992, 23(2013), 5 vom: 29. Sept., Seite 677-695 |
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Übergeordnetes Werk: |
volume:23 ; year:2013 ; number:5 ; day:29 ; month:09 ; pages:677-695 |
Links: |
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DOI / URN: |
10.1007/s00778-013-0338-6 |
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Katalog-ID: |
OLC2051360162 |
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10.1007/s00778-013-0338-6 doi (DE-627)OLC2051360162 (DE-He213)s00778-013-0338-6-p DE-627 ger DE-627 rakwb eng 004 VZ Xiang, Yang verfasserin aut Answering exact distance queries on real-world graphs with bounded performance guarantees 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2013 Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries. Graph databases Tree decomposition Exact distance queries Enthalten in The VLDB journal Springer Berlin Heidelberg, 1992 23(2013), 5 vom: 29. Sept., Seite 677-695 (DE-627)170933059 (DE-600)1129061-4 (DE-576)032856466 1066-8888 nnns volume:23 year:2013 number:5 day:29 month:09 pages:677-695 https://doi.org/10.1007/s00778-013-0338-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_30 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2005 GBV_ILN_2018 GBV_ILN_4266 GBV_ILN_4277 GBV_ILN_4311 AR 23 2013 5 29 09 677-695 |
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10.1007/s00778-013-0338-6 doi (DE-627)OLC2051360162 (DE-He213)s00778-013-0338-6-p DE-627 ger DE-627 rakwb eng 004 VZ Xiang, Yang verfasserin aut Answering exact distance queries on real-world graphs with bounded performance guarantees 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2013 Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries. Graph databases Tree decomposition Exact distance queries Enthalten in The VLDB journal Springer Berlin Heidelberg, 1992 23(2013), 5 vom: 29. Sept., Seite 677-695 (DE-627)170933059 (DE-600)1129061-4 (DE-576)032856466 1066-8888 nnns volume:23 year:2013 number:5 day:29 month:09 pages:677-695 https://doi.org/10.1007/s00778-013-0338-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_30 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2005 GBV_ILN_2018 GBV_ILN_4266 GBV_ILN_4277 GBV_ILN_4311 AR 23 2013 5 29 09 677-695 |
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10.1007/s00778-013-0338-6 doi (DE-627)OLC2051360162 (DE-He213)s00778-013-0338-6-p DE-627 ger DE-627 rakwb eng 004 VZ Xiang, Yang verfasserin aut Answering exact distance queries on real-world graphs with bounded performance guarantees 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2013 Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries. Graph databases Tree decomposition Exact distance queries Enthalten in The VLDB journal Springer Berlin Heidelberg, 1992 23(2013), 5 vom: 29. Sept., Seite 677-695 (DE-627)170933059 (DE-600)1129061-4 (DE-576)032856466 1066-8888 nnns volume:23 year:2013 number:5 day:29 month:09 pages:677-695 https://doi.org/10.1007/s00778-013-0338-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_30 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2005 GBV_ILN_2018 GBV_ILN_4266 GBV_ILN_4277 GBV_ILN_4311 AR 23 2013 5 29 09 677-695 |
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10.1007/s00778-013-0338-6 doi (DE-627)OLC2051360162 (DE-He213)s00778-013-0338-6-p DE-627 ger DE-627 rakwb eng 004 VZ Xiang, Yang verfasserin aut Answering exact distance queries on real-world graphs with bounded performance guarantees 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2013 Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries. Graph databases Tree decomposition Exact distance queries Enthalten in The VLDB journal Springer Berlin Heidelberg, 1992 23(2013), 5 vom: 29. Sept., Seite 677-695 (DE-627)170933059 (DE-600)1129061-4 (DE-576)032856466 1066-8888 nnns volume:23 year:2013 number:5 day:29 month:09 pages:677-695 https://doi.org/10.1007/s00778-013-0338-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_30 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2005 GBV_ILN_2018 GBV_ILN_4266 GBV_ILN_4277 GBV_ILN_4311 AR 23 2013 5 29 09 677-695 |
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Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries. © Springer-Verlag Berlin Heidelberg 2013 |
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Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries. © Springer-Verlag Berlin Heidelberg 2013 |
abstract_unstemmed |
Abstract The ability to efficiently obtain exact distance information from both directed and undirected graphs is desired by many real-world applications. In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries. © Springer-Verlag Berlin Heidelberg 2013 |
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In this work, we unified the query indexing efforts on directed and undirected graphs into one by proposing the TreeMap approach. Our approach has very tight bounds on query time, index size, and construction time for answering queries on both directed and undirected graphs. The query time complexity is close to constant for graphs with a small width of tree decomposition, and the index construction can be completed without materializing the distance matrix or other high-cost operations. In the empirical study, we demonstrated that the TreeMap approach in general performs much better than competitive methods in indexing real graphs for answering exact distance queries.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Graph databases</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tree decomposition</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exact distance queries</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">The VLDB journal</subfield><subfield code="d">Springer Berlin Heidelberg, 1992</subfield><subfield code="g">23(2013), 5 vom: 29. 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