Event pattern matching over graph streams
نویسندگان
چکیده
منابع مشابه
Event Pattern Matching over Graph Streams
A graph is a fundamental and general data structure underlying all data applications. Many applications today call for the management and query capabilities directly on graphs. Real time graph streams, as seen in road networks, social and communication networks, and web requests, are such applications. Event pattern matching requires the awareness of graph structures, which is different from tr...
متن کاملTPStream: Low-Latency Temporal Pattern Matching on Event Streams
Complex Event Processing (CEP) has emerged as the state-ofthe-art technology for continuously monitoring and analyzing streams of events in time-critical applications. The key feature in CEP is sequential pattern matching to detect a user-defined sequence of conditions on event streams. However, many CEP applications are not restricted to events only, but require native support for situations (...
متن کاملPoster: DejaVu – A Complex Event Processing System for Pattern Matching over Live and Historical Data Streams
This short paper provides an overview of the DejaVu complex event processing (CEP) system, with an emphasis on its novel architecture and query optimization techniques for correlating patterns across live and historical data streams.
متن کاملTowards Efficient Schema-Enhanced Pattern Matching over RDF Data Streams
Data streams, often seen as sources of events, have appeared on the Web. Event processing on the Web needs however to cope with the typical openness and heterogeneity of the Web environment. Semantic Web technology, meant to facilitate data integration in an open environment, can help to address heterogeneities across multiple streams. In this paper we discuss an approach towards efficient patt...
متن کاملHigh-Performance Dynamic Pattern Matching over Disordered Streams
Current pattern-detection proposals for streaming data recognize the need to move beyond a simple regular-expression model over strictly ordered input. We continue in this direction, relaxing restrictions present in some models, removing the requirement for ordered input, and permitting stream revisions (modification of prior events). Further, recognizing that patterns of interest in modern app...
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: Proceedings of the VLDB Endowment
سال: 2014
ISSN: 2150-8097
DOI: 10.14778/2735496.2735504