SIGMOD 2008
2008 ACM SIGMOD International Conference on Management of Data
June 9-12 2008
Vancouver
Canada
Paper ID: 666
Title: StreamTX: Extracting Tuples from Streaming XML Data
Track Name: Industrial
Review Count: 3

Aggregates over review questions.

Min Is this paper relevant to the Industrial Track? I.e., is it about commercial information management software, or about industrial-strength prototypes of information management software in widespread use?0
Avg Overall rating2.00
Spread Overall rating4


Review: 1
Reviewer: Jan Pedersen
Email: jpederse@yahoo-inc.com
Organization: Yahoo! Inc
Review:
 QuestionResponse
1Is this paper relevant to the Industrial Track? I.e., is it about commercial information management software, or about industrial-strength prototypes of information management software in widespread use? Yes
2Originality: How novel is the work described? Slightly novel
3Technical Quality: How complete, deep, and correct is this work? Good
4Significance: How much can this paper teach the community? Some; community would benefit from reading
5Presentation: how readable is the paper? Good
6Overall rating Accept
7Reviewer confidence Low
8Justification for rating (max 3 lines, please) The authors present an efficient method for extracting tuples from streaming XML data. The performance results suggests that the proposed algorithm significantly outperforms the state-of-the-art.
9Detailed comments to authors:
10Comments for PC (will not be seen by authors)
11Name of external reviewer, if any:

Review: 2
Reviewer: Eric Simon
Email: esimon@businessobjects.com
Organization: Business Objects
Review:
 QuestionResponse
1Is this paper relevant to the Industrial Track? I.e., is it about commercial information management software, or about industrial-strength prototypes of information management software in widespread use? No
2Originality: How novel is the work described? Slightly novel
3Technical Quality: How complete, deep, and correct is this work? Good
4Significance: How much can this paper teach the community? Some; community would benefit from reading
5Presentation: how readable is the paper? Good
6Overall rating Reject
7Reviewer confidence Medium
8Justification for rating (max 3 lines, please) This is a good research paper that improves the state of the art over previously published research papers on the topic. However, this paper does not qualify as an industrial paper.
9Detailed comments to authors: I strongly encourage you to submit your paper to the forthcoming VLDB 2008 research track.

10Comments for PC (will not be seen by authors)
11Name of external reviewer, if any:

Review: 3
Reviewer: Dana Florescu
Email: dana.florescu@oracle.com
Organization: Oracle Corporation
Review: Not Available