Citations: Archiving Scientific Data - Buneman, Khanna, ajima, Tan (ResearchIndex)

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P. Buneman, S. Khanna, K. Tajima, and W. C. Tan. Archiving scientific data. ACM Trans. Database Syst., 29:2--42, 2004.

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Reference Number: 609 - Title Merge As (Correct)

....both aggregations. To do these two aggregations with Deep Union would require two distinct data sets with different labels. In addition, our work differs from the Deep Union work in that we use XML directly, while they use a more restrictive semistructured model. A related paper by Buneman, et al. [6] uses a modified version of Deep Union and timestamps to archive scientific data. Liefke and Davidson [9] propose a mechanism for specifying keys for XML documents and mapping those documents into their semi structured data model. They Bid Bidder Price ID Auction 501 Sue 1550 Item Bidder ....

....processing. This work focuses on relational as opposed to semi structured data. Finally, several systems have been developed for processing XML or streaming data including Niagara [12] Lore [10] and Tukwila [11] 12] The Merge operation is not available in any of these systems. The Yat system [6] uses XML for data integration. Merge differs from integration in that we aggregate only; we do not address mediation or query reformulation. 3. Applications The Merge operator can be used in two primary ways: as an accumulator and as an operator in a query plan. In its function as an ....

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P. Buneman, S Khanna, K. Tajima, W.C. Tan. Archiving Scientific Data. In Proceedings of the 2002.

Temporal Queries in XML Document Archives and Web Warehouses - Wang, Zaniolo (2003) (1 citation) (Correct)

....Similarly, TTXPath [22] is extension of XPath data model and query langauge to support transaction time semantics. We instead support XPath XQuery without any extension to XML query languages or data models in our approach. An interesting archiving technique for scientific data is presented in [9], a scheme based on an extension of the SCCS [31] scheme. In [9] a document is viewed as an unordered set of elements, and an in depth discussion is presented on how to uniquely identify and retrieve elements by their logical keys; however support for queries (historical or otherwise) is not ....

....langauge to support transaction time semantics. We instead support XPath XQuery without any extension to XML query languages or data models in our approach. An interesting archiving technique for scientific data is presented in [9] a scheme based on an extension of the SCCS [31] scheme. In [9], a document is viewed as an unordered set of elements, and an in depth discussion is presented on how to uniquely identify and retrieve elements by their logical keys; however support for queries (historical or otherwise) is not discussed. Moreover, elements have timestamps only if they are ....

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P. Buneman and S. Khanna and K. Ajima and W. Tan, "Archiving Scientific Data", ACM SIGMOD, 2002.

Representing and Querying the Evolution of Databases and their .. - Wang, Zaniolo (2003) (Correct)

....Similarly, TTXPath[10] is another extension of XPath data model and query language to support transaction time semantics. In our approach, we instead support XPath XQuery without any extension to XML data models or query languages. An archiving technique for scientific data was presented in [11], based on an extension of the SCCS [12] scheme. This approach timestamps elements only when they are different from the parent elements, so the structure of the representation is not fixed; this makes it difficult to support queries in XPath XQuery, which, in fact, is not discussed in [11] The ....

....in [11] based on an extension of the SCCS [12] scheme. This approach timestamps elements only when they are different from the parent elements, so the structure of the representation is not fixed; this makes it difficult to support queries in XPath XQuery, which, in fact, is not discussed in [11]. The scheme we use here to publish the histories of relational tables present several similarities to that proposed in [11] but it also provides full support for XML query languages such as XPath and XQuery. Temporal Databases and Grouped Representations. There is a large number of temporal ....

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P. Buneman, S. Khanna, K. Ajima, and W. Tan. Archiving scientific data. In ACM SIGMOD, 2002.

Towards Collaborative Content Management And Version.. - Kohlhase, Anghelache (2003) (2 citations) (Correct)

....in computing differences breaks the underlying assumptions of the algorithms described in section 3.1. For instance, the DAG nature of OMDoc documents requires the di#erencing algorithms to (virtually) expand the objects to tree form while processing them . It seems that techniques from [BKTT02] can be used to get around the obvious computational di#culties involved in di#erencing modulo equality. BKTT02] trivialize the tree matching problem by assuming that all tree representations are strongly keyed , employing a generalized notion of data base keys to determine In the file system ....

....instance, the DAG nature of OMDoc documents requires the di#erencing algorithms to (virtually) expand the objects to tree form while processing them . It seems that techniques from [BKTT02] can be used to get around the obvious computational di#culties involved in di#erencing modulo equality. BKTT02] trivialize the tree matching problem by assuming that all tree representations are strongly keyed , employing a generalized notion of data base keys to determine In the file system metaphor, this would correspond to following symbolic links element correspondence in XML documents. They claim ....

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Peter Buneman, Sanjeev Khanna, Keishi Tajima, and Wang Chiew Tan. Archiving scientific data. In ACM SIGMOD International Conference on Management of Data (SIGMOD), 2002.

Syntax, Semantics, and Query Evaluation in the tauXQuery.. - Gao, Snodgrass (2003) (1 citation) (Correct)

....valid time into the XML documents and an extension to XQL to express temporal predicates. In our terminology, their approach would be considered to support representational queries with additional predicates. Buneman et al. presented a timestamp based approach to archive scientific data [BKT02] They focus on how to merge different versions (documents) to one document with some nodes timestamped. Their work may be helpful to temporal coalescing of XML data. 11 Summary and Future Work In this paper, we have presented a temporal XML query language, XQuery, that minimally extends the ....

P. Buneman, S. Khanna, K. Tajima, and W-C. Tan, "Archiving Scientific Data," in Proceedings of the ACM SIGMOD International Conference, pp.1--12. Madison, Wisconsin, June 2002.

The Virtual Data Grid: A New Model and Architecture.. - Foster, Vöckler.. (2003) (12 citations) (Correct)

....a detailed data lineage report on the datasets that contributed to the creation of that point. 7 Related Work The importance of documenting provenance is well known [18] Our work builds on preliminary explorations within GriPhyN [3, 12] There are also relationships to work in database systems [4, 5, 19] and versioning [15] Cui and Widom [7, 8] record the relational queries used to construct materialized views in a data warehouse, and then exploit this information to explain lineage. Our work can leverage these techniques, but differs in two respects: first, data may not be stored in databases ....

Buneman, P., Khanna, S., Tajima, K. and Tan, W.-C., Archiving Scientific Data. in ACM SIGMOD International Conference on Management of Data, (2002).

Preserving and Querying Histories of XML-Published Relational.. - Wang, Zaniolo (2002) (4 citations) (Correct)

....tuples is immaterial and we can also use the change detection algorithm for semistructured information proposed in [9] All these algorithms represent the deltas between the documents as edit scripts and return minimum deltas that will transform the old version into the new one. As discussed in [6], for elements that are logically identified by keys, it is semantically preferable to detect changes between elements denoted by the same key. The X Di# algorithm proposed in [33] applies in this situation; this algorithm was in fact designed for detecting changes in unordered XML documents with ....

.... been proposed for databases, often in the context of O O systems and CAD applications [24] The emergence of web information systems and many new web based applications has generated a flurry of interest and research activities, at first focusing on semistructured information [9] and now on XML [13, 25, 14, 6]. This interest is due to the fact that (i) traditional version management applications are now migrating to a web based environment [3] ii) there is an increasing realization that e permanence must be achieved and the broken link problem must be fixed [23] and (iii) very interesting queries ....

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Buneman, P., Khanna, S., ajima, K., Tan, W.: Archiving Scientific Data. Proc. ACM SIGMOD (2002)

Provenance Management in Curated Databases - Buneman, Chapman, Cheney (2006) Self-citation (Buneman) (Correct)

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P. Buneman, S. Khanna, K. Tajima, and W. C. Tan. Archiving scientific data. ACM Trans. Database Syst., 29:2--42, 2004.

MiMI: Michigan Molecular Interactions - Adriane Chapman Magesh (Correct)

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Buneman P., S. Khanna, K. Tajima, W.-C. Tan (2002) Archiving Scientific Data, ACM SIGMOD, 1-12.

Jim Gray, Microsoft Research - Alexander Szalay Johns (2002) (Correct)

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P. Buneman, S. Khanna, K. Tajima, W. Tan, "Archiving Scientific Data," Proc. ACM SIGMOD 2002, pp. 1-13, 2002.

Provenance-Aware Sensor Data Storage - Ledlie, Ng, Holland.. (2005) (2 citations) (Correct)

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P. Buneman, S. Khanna, K. Tajima, and W. C. Tan. Archiving scientific data. In SIGMOD Conference, Madison, WI, 2002.

XML-Based Support for Database Histories and Document Versions - Wang (2004) (Correct)

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P. Buneman, S. Khanna, K. Ajima, and W. Tan. Archiving Scientific Data. In ACM SIGMOD, 2002.

Publishing and Querying the Histories of Archived Relational.. - Wang, Zaniolo (2003) (Correct)