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- research-articleJune 2016
Local Similarity Search for Unstructured Text
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 1991–2005https://doi.org/10.1145/2882903.2915211With the growing popularity of electronic documents, replication can occur for many reasons. People may copy text segments from various sources and make modifications. In this paper, we study the problem of local similarity search to find partially ...
- posterJune 2016
Adaptive Data Skipping in Main-Memory Systems
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 2255–2256https://doi.org/10.1145/2882903.2914836As modern main-memory optimized data systems increasingly rely on fast scans, lightweight indexes that allow for data skipping play a crucial role in data filtering to reduce system I/O. Scans benefit from data skipping when the data order is sorted, ...
- research-articleJune 2016
Automatic Entity Recognition and Typing in Massive Text Data
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 2235–2239https://doi.org/10.1145/2882903.2912567In today's computerized and information-based society, individuals are constantly presented with vast amounts of text data, ranging from news articles, scientific publications, product reviews, to a wide range of textual information from social media. ...
- research-articleJune 2016
SourceSight: Enabling Effective Source Selection
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 2157–2160https://doi.org/10.1145/2882903.2899403Recently there has been a rapid increase in the number of data sources and data services, such as cloud-based data markets and data portals, that facilitate the collection, publishing and trading of data. Data sources typically exhibit large ...
- research-articleJune 2016
The CloudMdsQL Multistore System
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 2113–2116https://doi.org/10.1145/2882903.2899400The blooming of different cloud data management infrastructures has turned multistore systems to a major topic in the nowadays cloud landscape. In this demonstration, we present a Cloud Multidatastore Query Language (CloudMdsQL), and its query engine. ...
- research-articleJune 2016
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems
- Donatello Santoro,
- Patricia C. Arocena,
- Boris Glavic,
- Giansalvatore Mecca,
- Renée J. Miller,
- Paolo Papotti
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 2161–2164https://doi.org/10.1145/2882903.2899397Repairing erroneous or conflicting data that violate a set of constraints is an important problem in data management. Many automatic or semi-automatic data-repairing algorithms have been proposed in the last few years, each with its own strengths and ...
- research-articleJune 2016
Constance: An Intelligent Data Lake System
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 2097–2100https://doi.org/10.1145/2882903.2899389As the challenge of our time, Big Data still has many research hassles, especially the variety of data. The high diversity of data sources often results in information silos, a collection of non-integrated data management systems with heterogeneous ...
- research-articleJune 2016
Ontology-Based Integration of Streaming and Static Relational Data with Optique
- Evgeny Kharlamov,
- Sebastian Brandt,
- Ernesto Jimenez-Ruiz,
- Yannis Kotidis,
- Steffen Lamparter,
- Theofilos Mailis,
- Christian Neuenstadt,
- Özgür Özçep,
- Christoph Pinkel,
- Christoforos Svingos,
- Dmitriy Zheleznyakov,
- Ian Horrocks,
- Yannis Ioannidis,
- Ralf Moeller
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 2109–2112https://doi.org/10.1145/2882903.2899385Real-time processing of data coming from multiple heterogeneous data streams and static databases is a typical task in many industrial scenarios such as diagnostics of large machines. A complex diagnostic task may require a collection of up to hundreds ...
- research-articleJune 2016
Interactive and Deterministic Data Cleaning
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 893–907https://doi.org/10.1145/2882903.2915242We present Falcon, an interactive, deterministic, and declarative data cleaning system, which uses SQL update queries as the language to repair data. Falcon does not rely on the existence of a set of pre-defined data quality rules. On the contrary, it ...
- research-articleJune 2016
Robust and Noise Resistant Wrapper Induction
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 773–784https://doi.org/10.1145/2882903.2915214Wrapper induction is the problem of automatically inferring a query from annotated web pages of the same template. This query should not only select the annotated content accurately but also other content following the same template. Beyond accurately ...
- research-articleJune 2016
Extracting Databases from Dark Data with DeepDive
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 847–859https://doi.org/10.1145/2882903.2904442DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific ...
- research-articleJune 2016
Realtime Data Processing at Facebook
- Guoqiang Jerry Chen,
- Janet L. Wiener,
- Shridhar Iyer,
- Anshul Jaiswal,
- Ran Lei,
- Nikhil Simha,
- Wei Wang,
- Kevin Wilfong,
- Tim Williamson,
- Serhat Yilmaz
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 1087–1098https://doi.org/10.1145/2882903.2904441Realtime data processing powers many use cases at Facebook, including realtime reporting of the aggregated, anonymized voice of Facebook users, analytics for mobile applications, and insights for Facebook page administrators. Many companies have ...
- research-articleJune 2016
Multi-Source Uncertain Entity Resolution at Yad Vashem: Transforming Holocaust Victim Reports into People
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 807–819https://doi.org/10.1145/2882903.2903737In this work we describe an entity resolution project performed at Yad Vashem, the central repository of Holocaust-era information. The Yad Vashem dataset is unique with respect to classic entity resolution, by virtue of being both massively multi-...
- research-articleJune 2016
ParTime: Parallel Temporal Aggregation
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 999–1010https://doi.org/10.1145/2882903.2903732This paper presents ParTime, a parallel algorithm for temporal aggregation. Temporal aggregation is one of the most important, yet most complex temporal query operators. It has been extensively studied in the past, but so far there has only been one ...
- research-articleJune 2016
Goods: Organizing Google's Datasets
- Alon Halevy,
- Flip Korn,
- Natalya F. Noy,
- Christopher Olston,
- Neoklis Polyzotis,
- Sudip Roy,
- Steven Euijong Whang
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 795–806https://doi.org/10.1145/2882903.2903730Enterprises increasingly rely on structured datasets to run their businesses. These datasets take a variety of forms, such as structured files, databases, spreadsheets, or even services that provide access to the data. The datasets often reside in ...
- research-articleJune 2016
SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 281–293https://doi.org/10.1145/2882903.2882957We analyze the workload from a multi-year deployment of a database-as-a-service platform targeting scientists and data scientists with minimal database experience. Our hypothesis was that relatively minor changes to the way databases are delivered can ...
- research-articleJune 2016
To Join or Not to Join?: Thinking Twice about Joins before Feature Selection
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 19–34https://doi.org/10.1145/2882903.2882952Closer integration of machine learning (ML) with data processing is a booming area in both the data management industry and academia. Almost all ML toolkits assume that the input is a single table, but many datasets are not stored as single tables due ...
- research-articleJune 2016
Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data
SIGMOD '16: Proceedings of the 2016 International Conference on Management of DataJune 2016, Pages 295–310https://doi.org/10.1145/2882903.2882924Self-describing key-value data formats such as JSON are becoming increasingly popular as application developers choose to avoid the rigidity imposed by the relational model. Database systems designed for these self-describing formats, such as MongoDB, ...