Knowledge Graphs and Big Data Processing
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companie...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Janev, Valentina [verfasserIn] Graux, Damien [herausgeberIn] Jabeen, Hajira [herausgeberIn] Sallinger, Emanuel [herausgeberIn] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Erscheinungsort nicht ermittelbar: Springer Nature ; 2020 |
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| Rechteinformationen: |
Open Access Creative Commons ; by/4.0 |
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| Schlagwörter: |
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| Umfang: |
1 Online-Ressource (209 p.) |
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| Reihe: |
Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI ; 12072 |
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| Links: | |
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| ISBN: |
978-3-030-53199-7 |
| Katalog-ID: |
1836461267 |
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9783030531997 978-3-030-53199-7 978 (DE-627)1836461267 (DE-599)KEP062200127 (OCoLC)1371437836 (OAPEN)41294 (EBP)062200127 DE-627 eng DE-627 rda eng UN bicssc UNH bicssc UYQ bicssc JPP bicssc KJQ bicssc Janev, Valentina verfasserin aut Knowledge Graphs and Big Data Processing [Erscheinungsort nicht ermittelbar] Springer Nature 2020 1 Online-Ressource (209 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI 12072 Open Access Unrestricted online access star This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required Creative Commons by/4.0 cc English Business mathematics & systems Databases Information retrieval Artificial intelligence Public administration Business mathematics and systems Graux, Damien herausgeberin edt Jabeen, Hajira herausgeberin edt Sallinger, Emanuel herausgeberin edt https://library.oapen.org/bitstream/id/ca92f994-2b31-4c27-8d08-cdd89a354e54/2020_Book_KnowledgeGraphsAndBigDataProce.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41294 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119287 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671338 OLR-OAPEN f z 01-03-23 30 01 0104 4281031901 GBV-OAPEN z 01-03-23 31 01 0027 4280314039 z 01-03-23 34 01 3551 4278869568 OLR-OAPEN zi002 01-03-23 39 01 0547 428122291X GBV-OAPEN ke 01-03-23 40 01 0007 4279938059 OLR-OAPEN xsn 01-03-23 63 01 3401 4281604545 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 428185486X OLR-OAPEN z 01-03-23 70 01 0089 4280492328 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869217X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343218570 OLR-OAL Vervielfältigungen (z.B. 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| spelling |
9783030531997 978-3-030-53199-7 978 (DE-627)1836461267 (DE-599)KEP062200127 (OCoLC)1371437836 (OAPEN)41294 (EBP)062200127 DE-627 eng DE-627 rda eng UN bicssc UNH bicssc UYQ bicssc JPP bicssc KJQ bicssc Janev, Valentina verfasserin aut Knowledge Graphs and Big Data Processing [Erscheinungsort nicht ermittelbar] Springer Nature 2020 1 Online-Ressource (209 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI 12072 Open Access Unrestricted online access star This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required Creative Commons by/4.0 cc English Business mathematics & systems Databases Information retrieval Artificial intelligence Public administration Business mathematics and systems Graux, Damien herausgeberin edt Jabeen, Hajira herausgeberin edt Sallinger, Emanuel herausgeberin edt https://library.oapen.org/bitstream/id/ca92f994-2b31-4c27-8d08-cdd89a354e54/2020_Book_KnowledgeGraphsAndBigDataProce.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41294 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119287 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671338 OLR-OAPEN f z 01-03-23 30 01 0104 4281031901 GBV-OAPEN z 01-03-23 31 01 0027 4280314039 z 01-03-23 34 01 3551 4278869568 OLR-OAPEN zi002 01-03-23 39 01 0547 428122291X GBV-OAPEN ke 01-03-23 40 01 0007 4279938059 OLR-OAPEN xsn 01-03-23 63 01 3401 4281604545 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 428185486X OLR-OAPEN z 01-03-23 70 01 0089 4280492328 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869217X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343218570 OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 24-06-23 110 01 3110 4281407898 OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279579121 OLR-OAPEN z 01-03-23 147 01 3528 4282053291 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. 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9783030531997 978-3-030-53199-7 978 (DE-627)1836461267 (DE-599)KEP062200127 (OCoLC)1371437836 (OAPEN)41294 (EBP)062200127 DE-627 eng DE-627 rda eng UN bicssc UNH bicssc UYQ bicssc JPP bicssc KJQ bicssc Janev, Valentina verfasserin aut Knowledge Graphs and Big Data Processing [Erscheinungsort nicht ermittelbar] Springer Nature 2020 1 Online-Ressource (209 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI 12072 Open Access Unrestricted online access star This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required Creative Commons by/4.0 cc English Business mathematics & systems Databases Information retrieval Artificial intelligence Public administration Business mathematics and systems Graux, Damien herausgeberin edt Jabeen, Hajira herausgeberin edt Sallinger, Emanuel herausgeberin edt https://library.oapen.org/bitstream/id/ca92f994-2b31-4c27-8d08-cdd89a354e54/2020_Book_KnowledgeGraphsAndBigDataProce.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41294 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119287 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671338 OLR-OAPEN f z 01-03-23 30 01 0104 4281031901 GBV-OAPEN z 01-03-23 31 01 0027 4280314039 z 01-03-23 34 01 3551 4278869568 OLR-OAPEN zi002 01-03-23 39 01 0547 428122291X GBV-OAPEN ke 01-03-23 40 01 0007 4279938059 OLR-OAPEN xsn 01-03-23 63 01 3401 4281604545 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 428185486X OLR-OAPEN z 01-03-23 70 01 0089 4280492328 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 427869217X OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343218570 OLR-OAL Vervielfältigungen (z.B. 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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000cam a22002652 4500</leader><controlfield tag="001">1836461267</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20241008145955.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210309s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030531997</subfield><subfield code="9">978-3-030-53199-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">978</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1836461267</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP062200127</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1371437836</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OAPEN)41294</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EBP)062200127</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">eng</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">UN</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">UNH</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">UYQ</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">JPP</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">KJQ</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Janev, Valentina</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Knowledge Graphs and Big Data Processing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Erscheinungsort nicht ermittelbar]</subfield><subfield code="b">Springer Nature</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (209 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI</subfield><subfield code="v">12072</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">Open Access</subfield><subfield code="f">Unrestricted online access</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. 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This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required |
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| score |
7.0132 |