NDLI: The nautilus analyzer: understanding and debugging data transformations

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Processing continuous text queries featuring non-homogeneous scoring functions

Active learning for relation type extension with local and global data views

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Incorporating variability in user behavior into systems based evaluation

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Exploring and predicting search task difficulty

Generically extending anonymization algorithms to deal with successive queries

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Mining long-lasting exploratory user interests from search history

Estimating interleaved comparison outcomes from historical click data

Schema-free structured querying of DBpedia data

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Large scale analysis of changes in english vocabulary over recent time

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Tweet classification based on their lifetime duration

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Entity centric query expansion for enterprise search

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Location-sensitive resources recommendation in social tagging systems

Hierarchical target type identification for entity-oriented queries

An examination of content farms in web search using crowdsourcing

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Dictionary based sparse representation for domain adaptation

Demographic context in web search re-ranking

Topic-sensitive probabilistic model for expert finding in question answer communities

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Session-based query performance prediction

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A latent pairwise preference learning approach for recommendation from implicit feedback

Shaping communities out of triangles

Automatic query expansion based on tag recommendation

Topic based pose relevance learning in dance archives

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Relational co-clustering via manifold ensemble learning

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SemaFor: semantic document indexing using semantic forests

Characterizing web search queries that match very few or no results

The face of quality in crowdsourcing relevance labels: demographics, personality and labeling accuracy

Measuring website similarity using an entity-aware click graph

A unified optimization framework for auction and guaranteed delivery in online advertising

Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates

Community-based classification of noun phrases in twitter

Query recommendation for children

Predicting primary categories of business listings for local search

Real-time bid optimization for group-buying ads

Modeling browsing behavior for click analysis in sponsored search

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Degree relations of triangles in real-world networks and graph models

Sentiment-focused web crawling

Learning to recommend with social relation ensemble

A probabilistic approach to mining geospatial knowledge from social annotations

User guided entity similarity search using meta-path selection in heterogeneous information networks

A scalable approach for performing proximal search for verbose patent search queries

Providing grades and feedback for student summaries by ontology-based information extraction

User activity profiling with multi-layer analysis

Is wikipedia too difficult?: comparative analysis of readability of wikipedia, simple wikipedia and britannica

Joint bilingual name tagging for parallel corpora

GTE: a distributional second-order co-occurrence approach to improve the identification of top relevant dates in web snippets

Finding food entity relationships using user-generated data in recipe service

Using program synthesis for social recommendations

Stochastic simulation of time-biased gain

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Web-scale multi-task feature selection for behavioral targeting

SonetRank: leveraging social networks to personalize search

Exploring simultaneous keyword and key sentence extraction: improve graph-based ranking using wikipedia

Balanced coverage of aspects for text summarization

Predicting web search success with fine-grained interaction data

Estimating query difficulty for news prediction retrieval

Dynamic effects of ad impressions on commercial actions in display advertising

Multi-session re-search: in pursuit of repetition and diversification

Recency-sensitive model of web page authority

A hybrid approach for efficient provenance storage

Mining sentiment terminology through time

Evaluating reward and risk for vertical selection

Theme chronicle model: chronicle consists of timestamp and topical words over each theme

Contextual evaluation of query reformulations in a search session by user simulation

Fast top-k similarity queries via matrix compression

The nautilus analyzer: understanding and debugging data transformations

Content Provider	ACM Digital Library
Author	Herschel, Melanie Eichelberger, Hanno
Abstract	When developing data transformations - a task omnipresent in applications like data integration, data migration, data cleaning, or scientific data processing -developers quickly face the need to verify the semantic correctness of the transformation. Declarative specifications of data transformations, e.g., SQL or ETL tools, increase developer productivity but usually provide limited or no means for inspection or debugging. In this situation, developers today have no choice but to manually analyze the transformation and, in case of an error, to (repeatedly) fix and test the transformation. The goal of the Nautilus project is to semi-automatically support this analysis-fix-test cycle. This demonstration focuses on one main component of Nautilus, namely the Nautilus Analyzer that helps developers in understanding and debugging their data transformations. The demonstration will show the capabilities of this component for data transformations specified in SQL on scenarios from different domains that are based on real-world data. We provide an overview the Nautilus Analyzer, discuss components and implementation techniques, and outline our demonstration plan. The Nautilus website (http://nautilus-system.org) features a video, screenshots, and further details.
Starting Page	2731
Ending Page	2733
Page Count	3
File Format	PDF
ISBN	9781450311564
DOI	10.1145/2396761.2398743
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-10-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Query analysis Data provenance
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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