NDLI: Top-k entity augmentation using consistent set covering

Please wait, while we are loading the content...

Estimating mutual information on data streams

A compression-based framework for the efficient analysis of business process logs

Top-k entity augmentation using consistent set covering

OpenAlea: scientific workflows combining data analysis and simulation

Top-k representative queries with binary constraints

DrillBeyond: processing multi-result open world SQL queries

Indexing bi-temporal windows

Aggregation and multidimensional analysis of big data for large-scale scientific applications: models, issues, analytics, and beyond

Orthogonal mechanism for answering batch queries with differential privacy

Querying RDF data with text annotated graphs

Efficient similarity search in scientific databases with feature signatures

FiND: a real-time filtering by novelty and diversity for publish/subscribe systems

A novel approach for approximate aggregations over arrays

On the internal evaluation of unsupervised outlier detection

Online template matching over a stream of digitized documents

TarMiner: automatic extraction of miRNA targets from literature

Optimizing continuous queries using update propagation with varying granularities

How to quantify the impact of lossy transformations on change detection

The hyperdyadic index and generalized indexing and query with PIQUE

Extending database task schedulers for multi-threaded application code

Relaxation of subgraph queries delivering empty results

Improving performance of similarity measures for uncertain time series using preprocessing techniques

Data mining for isotopic mapping of bioarchaeological finds in a central european alpine passage

Probabilistic aggregate skyline join queries: skylines with aggregate operations over existentially uncertain relations

Distributed top-k query processing on multi-dimensional data with keywords

Vertical partitioning for query processing over raw data

RUBIK: efficient threshold queries on massive time series

Transparent inclusion, utilization, and validation of main memory domain indexes

Privacy-preserving big data publishing

GRAPHITE: an extensible graph traversal framework for relational database management systems

Similarity search in fuzzy object databases

Towards automated prediction of relationships among scientific datasets

RITA: an index-tuning advisor for replicated databases

Compact distance histogram: a novel structure to boost k-nearest neighbor queries

Ontology-assisted keyword search for NeuroML models

SciCSM: novel contrast set mining over scientific datasets using bitmap indices

Efficient iterative processing in the SciDB parallel array engine

GEN: a database interface generator for HPC programs

Batch matching of conjunctive triple patterns over linked data streams in the internet of things

Top-k entity augmentation using consistent set covering

Content Provider	ACM Digital Library
Author	Lehner, Wolfgang Eberius, Julian Thiele, Maik Braunschweig, Katrin
Abstract	Entity augmentation is a query type in which, given a set of entities and a large corpus of possible data sources, the values of a missing attribute are to be retrieved. State of the art methods return a single result that, to cover all queried entities, is fused from a potentially large set of data sources. We argue that queries on large corpora of heterogeneous sources using information retrieval and automatic schema matching methods can not easily return a single result that the user can trust, especially if the result is composed from a large number of sources that user has to verify manually. We therefore propose to process these queries in a Top-k fashion, in which the system produces multiple minimal consistent solutions from which the user can choose to resolve the uncertainty of the data sources and methods used. In this paper, we introduce and formalize the problem of consistent, multi-solution set covering, and present algorithms based on a greedy and a genetic optimization approach. We then apply these algorithms to Web table-based entity augmentation. The publication further includes a Web table corpus with 100M tables, and a Web table retrieval and matching system in which these algorithms are implemented. Our experiments show that the consistency and minimality of the augmentation results can be improved using our set covering approach, without loss of precision or coverage and while producing multiple alternative query results.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISBN	9781450337090
DOI	10.1145/2791347.2791353
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-06-29
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in