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Finding Commonalities in RFID Semantic Streams
Author(s) -
Michele Ruta,
Simona Colucci,
Floriano Scioscia,
Eugenio Di Sciascio,
Francesco M. Donini
Publication year - 2011
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2011.07.118
Subject(s) - computer science , metadata , representation (politics) , sequence (biology) , process (computing) , annotation , information retrieval , product (mathematics) , data mining , artificial intelligence , world wide web , programming language , geometry , mathematics , politics , political science , biology , law , genetics
A stream is a time-ordered sequence of data values. It is possible to define a semantic stream as a time-ordered sequence of metadata, i.e., a concept stream. It may derive from a collection of semantic annotations referred to objects/subjects whose status evolves during a process as in case of product flow in supply chains. Although a concrete added value comes from the annotation of products and processes, several issues are inherited. Particularly, concept streams typically assume a not compact form, hence a fully comprehensive concise representation is needed.Leveraging capabilities allowed by EPCglobal RFID protocol standard, the paper proposes a general framework able to provide a compact representation of large concept streams also finding informative commonalities in them so allowing automated pattern analysis and trend discovery. A case study is presented to clarify the approach

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