Publication:
On Automating Decentralized Multi-Step Service Combination

cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentData Engineering
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentbrowseData Engineering
cris.virtual.departmentbrowseData Engineering
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department3a2553bc-4d23-4bae-a22f-5d92c868792c
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.contributor.authorPhilipp, Patrick
dc.contributor.authorRettinger, Achim
dc.contributor.authorMaleshkova, Maria
dc.date.issued2017-09-07
dc.description.abstractInformation on the Web is heterogeneous and available in constantly increasing quantities. Consequently, there are numerous, partly redundant data analytics services, each optimized for data with certain characteristics. Often, analytics tasks require multiple services to be pipelined to find a solution, where combinations of exchangeable services for single steps might outperform one-service-predictions. This work proposes a Multi-Agent System (MAS) perception of prior setting, where decentralized agents are considered to manage services, having to coordinate their decisions to find a consensus. We, first, propose a supervised method for service accuracy estimation and, therefore, exploit locality-sensitive features of training data. Given a committee of services managed by agents, we develop coordination strategies to handle conflicting confidences and reduce erroneous predictions due to service correlation. We evaluate our approach with Named Entity Recognition (NER)- A nd Named Entity Disambiguation (NED) services on text corpora with heterogeneous characteristics (i.e. news articles and tweets). Our empirical results improve the out-of-the-box performance of the original services.
dc.description.versionNA
dc.identifier.doi10.1109/ICWS.2017.89
dc.identifier.isbn9781538607527
dc.identifier.scopus2-s2.0-85032359784
dc.identifier.urihttps://openhsu.ub.hsu-hh.de/handle/10.24405/15232
dc.language.isoen
dc.publisherIEEE
dc.relation.conference2017 IEEE International Conference on Web Services (ICWS), June 25 2017 to June 30 2017 Honolulu, HI
dc.relation.orgunitKarlsruhe Institute of Technology
dc.rights.accessRightsmetadata only access
dc.subjectAccuracy Estimation
dc.subjectCoordination in Multi-Agent System
dc.subjectNamed Entity Recognition and-Disambiguation
dc.subjectService Combination
dc.titleOn Automating Decentralized Multi-Step Service Combination
dc.typeConference paper
dcterms.bibliographicCitation.booktitle2017 IEEE 24th International Conference on Web Services - ICWS 2017 : Proceedings
dcterms.bibliographicCitation.originalpublisherplacePiscataway
dspace.entity.typePublication
hsu.peerReviewed
hsu.uniBibliographyNein
oaire.citation.endPage743
oaire.citation.startPage736
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