Title :
Mapping Enterprise Process Measure into Information Model
Author :
Bilong, Wen ; Li, Zhang
Author_Institution :
Software Eng. Inst., BeiHang Univ., Beijing
Abstract :
Collecting measure data play a key role in practicing enterprise process measure. For mapping measure to enterprise information system and collecting measure data automatically, it is necessary to provide a common method to define semantics of process measure and information model. The semantics structure of basic measure is an analyze at first. Based on domain ontology, a structure called semantic tree is defined to describe the semantics relationships among measured entity, measurable attribute and constrains. The structure is suitable for enterprise information model too. Arithmetic to computer the similarity of semantics tree is presented and a method to map measure and enterprise information model is put forward. These methods are the base of automatic process measure data collection and enterprise information integration.
Keywords :
information systems; ontologies (artificial intelligence); trees (mathematics); enterprise information system; enterprise process measure mapping; information model; ontology; semantic structure; semantic tree; Digital arithmetic; Educational technology; Information systems; Length measurement; Measurement units; Ontologies; Petroleum; Quality management; Software measurement; Vocabulary; Information Model; Mapping; Process Measure; Semantic Similarity; Semantic Tree;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.144