SMART: Semantic multidimensional group recommendations
The rising availability of data in the information systems has boosted the challenging problem of queries recommendation, especially in OLAP systems. In this paper, we introduce an innovative SMART system for semantic multidimensional group recommendations to enhance the querying formulation process...
Gespeichert in:
Veröffentlicht in: | Multimedia tools and applications 2015-12, Vol.74 (23), p.10419-10437 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 10437 |
---|---|
container_issue | 23 |
container_start_page | 10419 |
container_title | Multimedia tools and applications |
container_volume | 74 |
creator | Ben Ahmed, Eya Tebourski, Wafa Ben Abdessalem Karaa, Wahiba Gargouri, Faïez |
description | The rising availability of data in the information systems has boosted the challenging problem of queries recommendation, especially in OLAP systems. In this paper, we introduce an innovative SMART system for semantic multidimensional group recommendations to enhance the querying formulation process. Indeed, we describe the problem of group recommendation and define its semantics through introducing our group profiling ontology. Thus, we infer the analysts’ ongoing behaviors on our ontological concepts using a weighted summation strategy. Based on our ontological representation, we propose a new method for deriving relevant semantic recommendations (i.e., complete and queries fragments). In addition, an optimization technique for selecting the most interesting visualization of recommendations is proposed. Carried out experiments of our SMART system on real built financial data warehouse highlight encouraging results in terms of precision and recall. |
doi_str_mv | 10.1007/s11042-014-2174-0 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1770287339</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1770287339</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-d860e52a2d009ed69a0fa31f061d3ce3c8c842340f69e1a175dfb48dbae6a5b43</originalsourceid><addsrcrecordid>eNp1kMtKAzEUhoMoWC8P4G7AjZvoOblMZtyV4g0qgq3rkCaZMmUuNZlZ-PamjAsRXJ3D4ft_OB8hVwi3CKDuIiIIRgEFZagEhSMyQ6k4VYrhcdp5AVRJwFNyFuMOAHPJxIzkq9f5-_o-W_nWdENts3ZshtrVre9i3XemybahH_dZ8LZv09GZIZ3jBTmpTBP95c88Jx-PD-vFM12-Pb0s5ktqBZYDdUUOXjLDHEDpXV4aqAzHCnJ03HpuC1sIxgVUeenRoJKu2ojCbYzPjdwIfk5upt596D9HHwfd1tH6pjGd78eoUSlgheK8TOj1H3TXjyF9cKBYqQRIWSQKJ8qGPsbgK70PdWvCl0bQB5N6MqmTSX0wqSFl2JSJie22Pvxq_jf0DS2tdPQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1729740558</pqid></control><display><type>article</type><title>SMART: Semantic multidimensional group recommendations</title><source>SpringerLink Journals - AutoHoldings</source><creator>Ben Ahmed, Eya ; Tebourski, Wafa ; Ben Abdessalem Karaa, Wahiba ; Gargouri, Faïez</creator><creatorcontrib>Ben Ahmed, Eya ; Tebourski, Wafa ; Ben Abdessalem Karaa, Wahiba ; Gargouri, Faïez</creatorcontrib><description>The rising availability of data in the information systems has boosted the challenging problem of queries recommendation, especially in OLAP systems. In this paper, we introduce an innovative SMART system for semantic multidimensional group recommendations to enhance the querying formulation process. Indeed, we describe the problem of group recommendation and define its semantics through introducing our group profiling ontology. Thus, we infer the analysts’ ongoing behaviors on our ontological concepts using a weighted summation strategy. Based on our ontological representation, we propose a new method for deriving relevant semantic recommendations (i.e., complete and queries fragments). In addition, an optimization technique for selecting the most interesting visualization of recommendations is proposed. Carried out experiments of our SMART system on real built financial data warehouse highlight encouraging results in terms of precision and recall.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-014-2174-0</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analysis ; Availability ; Case studies ; Computer Communication Networks ; Computer Science ; Data Structures and Information Theory ; Data warehouses ; Financial services ; Information systems ; Investments ; Multimedia ; Multimedia computer applications ; Multimedia Information Systems ; Ontology ; Optimization ; Optimization techniques ; Performance evaluation ; Queries ; Recommendations ; Recommender systems ; Securities markets ; Semantics ; Special Purpose and Application-Based Systems ; Stock exchanges ; Strategy ; Studies</subject><ispartof>Multimedia tools and applications, 2015-12, Vol.74 (23), p.10419-10437</ispartof><rights>Springer Science+Business Media New York 2014</rights><rights>Springer Science+Business Media New York 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-d860e52a2d009ed69a0fa31f061d3ce3c8c842340f69e1a175dfb48dbae6a5b43</citedby><cites>FETCH-LOGICAL-c419t-d860e52a2d009ed69a0fa31f061d3ce3c8c842340f69e1a175dfb48dbae6a5b43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11042-014-2174-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11042-014-2174-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Ben Ahmed, Eya</creatorcontrib><creatorcontrib>Tebourski, Wafa</creatorcontrib><creatorcontrib>Ben Abdessalem Karaa, Wahiba</creatorcontrib><creatorcontrib>Gargouri, Faïez</creatorcontrib><title>SMART: Semantic multidimensional group recommendations</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>The rising availability of data in the information systems has boosted the challenging problem of queries recommendation, especially in OLAP systems. In this paper, we introduce an innovative SMART system for semantic multidimensional group recommendations to enhance the querying formulation process. Indeed, we describe the problem of group recommendation and define its semantics through introducing our group profiling ontology. Thus, we infer the analysts’ ongoing behaviors on our ontological concepts using a weighted summation strategy. Based on our ontological representation, we propose a new method for deriving relevant semantic recommendations (i.e., complete and queries fragments). In addition, an optimization technique for selecting the most interesting visualization of recommendations is proposed. Carried out experiments of our SMART system on real built financial data warehouse highlight encouraging results in terms of precision and recall.</description><subject>Analysis</subject><subject>Availability</subject><subject>Case studies</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Data Structures and Information Theory</subject><subject>Data warehouses</subject><subject>Financial services</subject><subject>Information systems</subject><subject>Investments</subject><subject>Multimedia</subject><subject>Multimedia computer applications</subject><subject>Multimedia Information Systems</subject><subject>Ontology</subject><subject>Optimization</subject><subject>Optimization techniques</subject><subject>Performance evaluation</subject><subject>Queries</subject><subject>Recommendations</subject><subject>Recommender systems</subject><subject>Securities markets</subject><subject>Semantics</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Stock exchanges</subject><subject>Strategy</subject><subject>Studies</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kMtKAzEUhoMoWC8P4G7AjZvoOblMZtyV4g0qgq3rkCaZMmUuNZlZ-PamjAsRXJ3D4ft_OB8hVwi3CKDuIiIIRgEFZagEhSMyQ6k4VYrhcdp5AVRJwFNyFuMOAHPJxIzkq9f5-_o-W_nWdENts3ZshtrVre9i3XemybahH_dZ8LZv09GZIZ3jBTmpTBP95c88Jx-PD-vFM12-Pb0s5ktqBZYDdUUOXjLDHEDpXV4aqAzHCnJ03HpuC1sIxgVUeenRoJKu2ojCbYzPjdwIfk5upt596D9HHwfd1tH6pjGd78eoUSlgheK8TOj1H3TXjyF9cKBYqQRIWSQKJ8qGPsbgK70PdWvCl0bQB5N6MqmTSX0wqSFl2JSJie22Pvxq_jf0DS2tdPQ</recordid><startdate>20151201</startdate><enddate>20151201</enddate><creator>Ben Ahmed, Eya</creator><creator>Tebourski, Wafa</creator><creator>Ben Abdessalem Karaa, Wahiba</creator><creator>Gargouri, Faïez</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20151201</creationdate><title>SMART: Semantic multidimensional group recommendations</title><author>Ben Ahmed, Eya ; Tebourski, Wafa ; Ben Abdessalem Karaa, Wahiba ; Gargouri, Faïez</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-d860e52a2d009ed69a0fa31f061d3ce3c8c842340f69e1a175dfb48dbae6a5b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analysis</topic><topic>Availability</topic><topic>Case studies</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Data Structures and Information Theory</topic><topic>Data warehouses</topic><topic>Financial services</topic><topic>Information systems</topic><topic>Investments</topic><topic>Multimedia</topic><topic>Multimedia computer applications</topic><topic>Multimedia Information Systems</topic><topic>Ontology</topic><topic>Optimization</topic><topic>Optimization techniques</topic><topic>Performance evaluation</topic><topic>Queries</topic><topic>Recommendations</topic><topic>Recommender systems</topic><topic>Securities markets</topic><topic>Semantics</topic><topic>Special Purpose and Application-Based Systems</topic><topic>Stock exchanges</topic><topic>Strategy</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ben Ahmed, Eya</creatorcontrib><creatorcontrib>Tebourski, Wafa</creatorcontrib><creatorcontrib>Ben Abdessalem Karaa, Wahiba</creatorcontrib><creatorcontrib>Gargouri, Faïez</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ben Ahmed, Eya</au><au>Tebourski, Wafa</au><au>Ben Abdessalem Karaa, Wahiba</au><au>Gargouri, Faïez</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SMART: Semantic multidimensional group recommendations</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2015-12-01</date><risdate>2015</risdate><volume>74</volume><issue>23</issue><spage>10419</spage><epage>10437</epage><pages>10419-10437</pages><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>The rising availability of data in the information systems has boosted the challenging problem of queries recommendation, especially in OLAP systems. In this paper, we introduce an innovative SMART system for semantic multidimensional group recommendations to enhance the querying formulation process. Indeed, we describe the problem of group recommendation and define its semantics through introducing our group profiling ontology. Thus, we infer the analysts’ ongoing behaviors on our ontological concepts using a weighted summation strategy. Based on our ontological representation, we propose a new method for deriving relevant semantic recommendations (i.e., complete and queries fragments). In addition, an optimization technique for selecting the most interesting visualization of recommendations is proposed. Carried out experiments of our SMART system on real built financial data warehouse highlight encouraging results in terms of precision and recall.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-014-2174-0</doi><tpages>19</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1380-7501 |
ispartof | Multimedia tools and applications, 2015-12, Vol.74 (23), p.10419-10437 |
issn | 1380-7501 1573-7721 |
language | eng |
recordid | cdi_proquest_miscellaneous_1770287339 |
source | SpringerLink Journals - AutoHoldings |
subjects | Analysis Availability Case studies Computer Communication Networks Computer Science Data Structures and Information Theory Data warehouses Financial services Information systems Investments Multimedia Multimedia computer applications Multimedia Information Systems Ontology Optimization Optimization techniques Performance evaluation Queries Recommendations Recommender systems Securities markets Semantics Special Purpose and Application-Based Systems Stock exchanges Strategy Studies |
title | SMART: Semantic multidimensional group recommendations |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T06%3A34%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=SMART:%20Semantic%20multidimensional%20group%20recommendations&rft.jtitle=Multimedia%20tools%20and%20applications&rft.au=Ben%20Ahmed,%20Eya&rft.date=2015-12-01&rft.volume=74&rft.issue=23&rft.spage=10419&rft.epage=10437&rft.pages=10419-10437&rft.issn=1380-7501&rft.eissn=1573-7721&rft_id=info:doi/10.1007/s11042-014-2174-0&rft_dat=%3Cproquest_cross%3E1770287339%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1729740558&rft_id=info:pmid/&rfr_iscdi=true |