Title
Use of Semantic Principles in a Collaborative System in Order to Support Effective Information Retrieval
Abstract
This paper focuses on information retrieval aspects of a new application in domain of collaborative systems based on utilization of semantic principles for representation of different types of knowledge, collaborative objects and relations between them. Proposed collaborative system (within European IST project called KP-Lab) uses ontologies as common communication framework and exchange format for different types of end-user tools. Theoretical background is provided by innovative theoretical approach called Trialogical learning. Information retrieval in KP-Lab System is supported by designed and implemented text-mining and search services. These two sets of functionalities provide features for management of shared objects, described with content in textual format, as well as with semantic metadata.
Year
DOI
Venue
2009
10.1007/978-3-642-04441-0_32
ICCCI
Keywords
Field
DocType
proposed collaborative system,information retrieval aspect,exchange format,collaborative object,semantic metadata,different type,kp-lab system,semantic principles,collaborative system,information retrieval,support effective information retrieval,innovative theoretical approach,semantic search,text mining,ontologies
Semantic integration,Data mining,Metadata,Semantic search,Information retrieval,Computer science,Explicit semantic analysis,Semantic equivalence,Semantic grid,Concept search,Semantic computing
Conference
Volume
ISSN
Citations 
5796
0302-9743
2
PageRank 
References 
Authors
0.44
2
5
Name
Order
Citations
PageRank
Frantisek Babic1168.02
Karol Furdík2294.74
Ján Paralič371.64
Peter Bednár4265.80
Jozef Wagner5133.20