This may make the layouts of result pages different from their tag tree or token ... each data record shown in Figure 1 are aligned with each other, in close proximity ..... The works that use visual features include ViPER [8], ViNTs [6], MSE [7] and
making use of data summary information about the dataset. ... Using. 3 http://www.w3.org/2001/sw/wiki/PROV#Implementations. 4 https://sites.google.com/site/provbench/provbench-at-bigprov-13. 5 https://github.com/junszhao/prov-analytics ...
Oct 22, 2013 ... HAVEN, MI - EIR 02/12/2013 - 02/15/2013. ALBERMARLE CORPORATION,
SOUTH. HAVEN, MI - EIR 01/01/2012 - 01/31/2012.
Shao Fen Liang,Siobhan Devlin and John Tait. The University of Sunderland. School of Computing and Technology. Sunderland SR6 0DD, UK. +44(0)191 515 ...
We investigate whether the two groups show different patterns characterized by .... project funded by the CLARIN-nl program, and under COMMIT project Infiniti.
SELECT * FROM makalah where judulMakalah like. '%signal%' LIMIT 0, 10. And the .... References. [1] Y. Primadani, "Simulasi Algoritma Levenshtein Distance.
On-Demand Query Result Cleaning. Ying Yang. Supervised by Oliver Kennedy and Jan Chomicki. State University of New York at Buffalo, Buffalo, NY, USA.
To rapidly identify new sales strategies the regional manager needs to analyze historical data ... In this paper, we show how OLA can be performed on XML data.
Aug 17, 2012 - ence, and earth sciences, and social network analysis, to support them in ... ing on the available applications at each site and on job scheduling ...
top of different Big Data engines, i.e., Hadoop, Spark or. Stratosphere. III. .... For provenance sharing, service based queries will be more efficient than direct data ...
Aug 17, 2012 - Abstract. Scientific research is increasingly assisted by computer-based experiments. Such experiments are often composed of a vast number ...
Michael Wilde, Ian Foster. Computation Institute. University of ..... HAN, S., FREIRE, J., AND SILVA, C. Tackling the Provenance. Challenge One Layer at a Time.
Provenance Query Patterns for Many-Task Scientific Computing. Luiz M. R. Gadelha Jr., Marta Mattoso. Computer and Systems Engineering Program. Federal ...
Page 1. On Query Result Diversification. Marcos R. Vieira1, Humberto L. Razente2, Maria C. N. Barioni2,. Marios Hadjieleftheriou3, Divesh Srivastava3, ...
stored in cloud computing environment. ... open source platform known as ownCloud [3]. .... stored in the database of relevant cloud like ownCloud. The.
Nov 7, 2011 - INTRODUCTION. The emergence of Open Data sources on the Web provides applications and services with a weal
Position Paper: Provenance Data Visualisation for Neuroimaging Analysis. Bilal Arshad, Kamran Munir, Richard McClathchey & Saad Liaquat. Centre for ...
Nov 7, 2011 - INTRODUCTION. The emergence of Open Data sources on the Web provides applications and services with a weal
user inputs âHarry Potterâ as the keyword in a search engine, the final query result set should ... For instance, when the movie âHarry Potter and the Deathly Hallows: ...... on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015
Existing models of provenance focus on queries/views in databases or ... ing a Web form or custom interface (such as a MS Access application). This ..... http://torch.cs.dal.ca/~www2006/roussel-www2006-MechanicsDataCollection.pdf. 15.
article appeared on Google news about the bankruptcy of United Airlines and within a very short time frame all the shares started to drop. Later it was published ...
âappleâ may refer to two subtopics: (1) âapple Inc.â and (2). âapple fruitâ. ... underlying subtopics of a query, information retrieval models might produce top ranked ...
Dec 20, 2011 - Heidemann, J.; Li, Y.; Syed, A.; Wills, J.; Ye, W. Underwater Sensor ... Chang, Y.I.; Shin, S.Y.; Park, S.H.; Lee, G. Dual Super Cluster Head ...
Mar 22, 2010 - ranking and query refinement) large semi-structured data collec- tions. In particular, in large scale data sharing and curation envi- ronments ...
▫$7000. ▫Camry. ▫Toyota. Challenges in Querying Web: Imprecise Queries. ▫
Queries may be too general ... provenance step by step. – Can we query the ...
Data Provenance for Query Result Explanation Yi Chen Arizona State University
Joint work with Subbarao Kambhampati, Garrett Wolf, Hemal Khatri, Bhaumik Chokshi, Jianchun Fan, Ullas Nambiar
Challenges in Querying Web: Imprecise Queries A Feasible Query Want a ‘sedan’ priced around $7000
Toyota
Make =“Toyota”, Model=“Camry”, Price ≤ $7000
Camry
$7000
1999
Toyota
Camry
$7000
2001
Toyota
Camry
$6700
2000
Toyota
Camry
$6500
1998
………
What about the price of a Honda Accord? Is there a Camry for $7100?
Queries may be too general Queries may be too specific Workshop on Principles of Provenance
June 26, Philadelphia
QUIC System [VLDB 07, ICDE 07, CIDR 07] Imprecise Queries
Incomplete Data
Query results are no longer exactly satisfying user queries. Rank them based on Expected Relevance Ranking
Relevance Function
Density Function
Automated & Non-intrusive assessment of Relevance and Density functions Query rewriting to retrieve similar/incomplete tuples in the order of their relevance
Workshop on Principles of Provenance
June 26, Philadelphia
Challenge: How Should User Believe it ?
Workshop on Principles of Provenance
June 26, Philadelphia
Discussions A recommendation system: A query processor that provides results beyond the ones that exactly satisfy a user query Explanation is important to gain user’s trust We need to record data provenance about the reasoning of query processing. – What is provenance information? How the answers are derived (not just computed)? Need to know the reasoning and evidence (knowledge base, statistical information, etc) – How should we obtain the provenance information? Proactively recording – How should we display the provenance information to users? display (a) in a hierarchical form of different granularities; (b) a chain of provenance step by step – Can we query the provenance itself to inspect the system? How? Workshop on Principles of Provenance
