| Polyzotis, Neoklis, Minos N. Garofalakis. Structure and Value Synopses for XML Data Graphs. VLDB 2002 |
....in the object database community. However, a key difference is that unlike object graphs, Web graphs do not conform to any well defined schema. Semi structured query optimization techniques do not depend on a schema but instead, employ structural and statistical summaries of the graph structure [11]. Our clustered representation scheme is similar in spirit, but is specialized to Web graphs. 8Conclusion In this paper, we addressed the problem of formulating and executing complex expressive queries over Web repositories. We showed that the combination of navigation, text search, and ....
N. Polyzotis and M. Garofalakis. Structure and value synopses for XML data graphs. In Proc. of the 28th VLDB Conf., Hong Kong, 2002.
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N. Polyzotis and M. Garofalakis. "Structure and Value Synopses for XML Data Graphs". In Proc. VLDB, 2002.
....fully general, complex path expressions that can incorporate value predicates on any of the nodes in the label path or branches of the query structure. To the best of our knowledge, ours is Due to space constraints, a detailed overview of related work can be found in the full version of this paper [21]. the first work to address this timely problem in the most general setting of graph structured XML data with element values. More concretely, the key contributions of our work are summarized as follows. Definition and Systematic Estimation Framework for (Structure and Value) XSKETCH ....
....capture the overlap between different value ranges. Intuitively, range histograms approximate range frequencies instead of point frequencies and essentially map selectivities of ranges to points in a higher dimensional space. The complete details can be found in the full version of this paper [21]. 4 Estimation over XSKETCH Synopses We now define our estimation framework for approximating path expression selectivities over a compact XSKETCH synopsis. Our framework generalizes that described in our earlier work for the structure only case [20] to deal with predicates on node values. ....
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N. Polyzotis and M. Garofalakis. "Structure and Value Synopses for XML Data Graphs". Bell Labs Tech. Memorandum, February 2002.
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Polyzotis, Neoklis, Minos N. Garofalakis. Structure and Value Synopses for XML Data Graphs. VLDB 2002
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N. Polyzotis and M. Garofalakis. Structure and value synopses for XML data graphs. In VLDB, 2002.
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N. Polyzotis and M. Garofalakis. Structure and value synopses for XML data graphs. Proc. of the Conf. on Very Large Databases (VLDB), 2002.
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N. Polyzotis and M. N. Garofalakis. "Structure and Value Synopses for XML Data Graphs". In VLDB, Hong Kong, China, Aug. 2002.
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N. Polyzotis and M. N. Garofalakis. Structure and value synopses for XML data graphs. In VLDB 2002.
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N. Polyzotis and M. Garofalakis. Structure and value synopses for xml data graphs. In Proceedings of 28th International Conference on Very Large Data Bases. Morgan Kaufmann, 2002.
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N. Polyzotis and M. N. Garofalakis. Structure and value synopses for XML data graphs. In Proceedings of 28th International Conference on Very Large Data Bases (VLDB 2002.
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Polyzotis, N. and Garofalakis, M. (2002) Structure and Value Synopses for XML Data Graphs. Proceedings of the 28 VLDB Conference '02, Hong Kong, China, 20-23 August, pp. ~466-477. Morgan Kaufmann, San Francisco, CA, USA.
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N. Polyzotis and M. Garofalakis. Structure and value synopses for XML data graphs. In Proc. of the 28th VLDB Conf., Hong Kong, 2002.
No context found.
Polyzotis, Neoklis, Minos N. Garofalakis. Structure and Value Synopses for XML Data Graphs. VLDB 2002
No context found.
N. Polyzotis and M. N. Garofalakis. "Structure and Value Synopses for XML Data Graphs". In VLDB, Hong Kong, China, Aug. 2002.
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Polyzotis N., Garofalakis M.: Structure and Value Synopses for XML Data Graphs. VLDB Conf. (2002) 466-477
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N. Polyzotis and M. Garofalakis. Structure and value synopses for xml data graphs. In Proceedings of 28th International Conference on Very Large Data Bases. Morgan Kaufmann, 2002.
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