6533b7d5fe1ef96bd1264958

RESEARCH PRODUCT

Towards semantic-based RSS merging

Marco VivianiJoe TekliRichard ChbeirFekade GetahunKokou Yetongnon

subject

Information retrievalComputer sciencecomputer.internet_protocolRSSINF/01 - INFORMATICAComputerApplications_COMPUTERSINOTHERSYSTEMScomputer.file_formatSet (abstract data type)Semantic similarityArtificial IntelligenceKey (cryptography)Document Object ModelcomputerXML

description

Merging information can be of key importance in several XML-based applications. For instance, merging the RSS news from different sources and providers can be beneficial for end-users (journalists, economists, etc.) in various scenarios. In this work, we address this issue and mainly explore the relatedness relationships between RSS entities/ elements. To validate our approach, we also provide a set of experimental tests showing satisfactory results. © 2009 Springer-Verlag Berlin Heidelberg

10.1007/978-3-642-02937-0_6http://hdl.handle.net/10281/174909