Graph-driven Federated Data Management
نویسندگان
چکیده
Modern data analysis applications, require the ability to provide on-demand integration of sources while offering a flexible and user-friendly query interface. Traditional techniques for answering queries using views, focused on rather static setting, fail address such requirements. To overcome these issues, we propose fully-fledged approach based graph-based constructs. The extensibility graphs allows us extend traditional framework with view definitions. Furthermore, also language subgraphs. We tackle via rewriting algorithm well-known algorithms views. experimentally show that proposed method yields good performance does not introduce significant overhead.
منابع مشابه
Federated Data Management and Query Optimization for Linked Open Data
Linked Open Data provides data on the web in a machine readable way with typed links between related entities. Means of accessing Linked Open Data include crawling, searching, and querying. Search in Linked Open Data allows for more than just keyword-based, document-oriented data retrieval. Only complex queries across different data source can leverage the full potential of Linked Open Data. In...
متن کاملClinical Data-Driven Probabilistic Graph Processing
Electronic Medical Records (EMRs) encode an extraordinary amount of medical knowledge. Collecting and interpreting this knowledge, however, belies a significant level of clinical understanding. Automatically capturing the clinical information is crucial for performing comparative effectiveness research. In this paper, we present a data-driven approach to model semantic dependencies between medi...
متن کاملGraph-driven features extraction from microarray data
Gene function prediction from microarray data is a first step toward better understanding the machinery of the cell from relatively cheap and easy-to-produce data. In this paper we investigate whether the knowledge of many metabolic pathways and their catalyzing enzymes accumulated over the years can help improve the performance of classifiers for this problem. The complex network of known bioc...
متن کاملGraph Transformations in Data-Driven Dependency Parsing
Transforming syntactic representations in order to improve parsing accuracy has been exploited successfully in statistical parsing systems using constituency-based representations. In this paper, we show that similar transformations can give substantial improvements also in data-driven dependency parsing. Experiments on the Prague Dependency Treebank show that systematic transformations of coor...
متن کاملDistributed query processing for federated RDF data management
The publication of freely available and machine-readable information has increased significantly in the last years. Especially the Linked Data initiative has been receiving a lot of attention. Linked Data is based on the Resource Description Framework (RDF) and anybody can simply publish their data in RDF and link it to other datasets. The structure is similar to the World Wide Web where indivi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2021
ISSN: ['1558-2191', '1041-4347', '2326-3865']
DOI: https://doi.org/10.1109/tkde.2021.3077044