Authors:
Maya Lincoln
and
Avi Wasser
Affiliation:
ProcessWeb, Israel
Keyword(s):
Business Process Search, Process Ontology, Business Process Repositories, Natural Language Processing, Semantic Search, Operational Search.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Enterprise Ontology
;
Information Systems Analysis and Specification
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Natural Language Processing
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Matching and Alignment
;
Ontology Sharing and Reuse
;
Pattern Recognition
;
Process Knowledge and Semantic Services
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
In recent years, researchers have become increasingly interested in developing frameworks and tools for searching business process model repositories. While research on searching structured repositories has been extensive, little attention was dedicated to searching business process content within unstructured repositories, such as the Web. We demonstrate why current search technologies are not useful for extracting process content from the Web, and explain the core reasons for the deficiency. We then present a framework for overcoming this material weakness, and discuss possible applications for realizing the suggested method.