HOME > Detail View

Detail View

Semantic search for novel information [electronic resource]

Semantic search for novel information [electronic resource]

Material type
E-Book(소장)
Personal Author
Färber, Michael.
Title Statement
Semantic search for novel information [electronic resource] / Michael Färber.
Publication, Distribution, etc
Amsterdam, Netherlands :   IOS Press,   2017.  
Physical Medium
1 online resource (xx, 194 p.).
Series Statement
Studies on the semantic web ;vol. 031
ISBN
9781614997757 (electronic bk.) 1614997756 (electronic bk.) 9781614997740 (print) 1614997748
General Note
Title from e-Book title page.  
Content Notes
Title Page ; Abstract; Acknowledgements; Contents; List of Figures; List of Tables; List of Listings; Introduction; Motivation; Problem Statement; Research Questions; Contribution of the Thesis; Published Results; Readers' Guide; Foundations; Semantic Web Technologies; The Vision of the Semantic Web; RDF and SPARQL; Knowledge Graph; Information Extraction, Machine Learning, Information Retrieval, and Data Quality; Information Extraction; Machine Learning; Information Retrieval; Data Quality; State-of-the-Art; Statistical Search for Relevant Information; Temporal Information Retrieval
Bibliography, Etc. Note
Includes bibliographical references (p. 167-194).
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Semantic computing. Semantic Web.
Short cut
URL
000 00000cam u2200205 a 4500
001 000045958651
005 20181031135315
006 m d
007 cr
008 170920s2017 ne ob 000 0 eng d
020 ▼a 9781614997757 (electronic bk.)
020 ▼a 1614997756 (electronic bk.)
020 ▼a 9781614997740 (print)
020 ▼a 1614997748
035 ▼a (OCoLC)1004378038 ▼z (OCoLC)1004603087
040 ▼a N$T ▼b eng ▼e rda ▼e pn ▼c N$T ▼d IOSPR ▼d IDEBK ▼d N$T ▼d EBLCP ▼d OCLCF ▼d MERUC ▼d YDX ▼d IDB ▼d MYG ▼d 211009
049 ▼a MAIN
050 4 ▼a QA76.5913
082 0 4 ▼a 006 ▼2 23
084 ▼a 006 ▼2 DDCK
090 ▼a 006
100 1 ▼a Färber, Michael.
245 1 0 ▼a Semantic search for novel information ▼h [electronic resource] / ▼c Michael Färber.
260 ▼a Amsterdam, Netherlands : ▼b IOS Press, ▼c 2017.
300 ▼a 1 online resource (xx, 194 p.).
490 1 ▼a Studies on the semantic web ; ▼v vol. 031
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references (p. 167-194).
505 0 ▼a Title Page ; Abstract; Acknowledgements; Contents; List of Figures; List of Tables; List of Listings; Introduction; Motivation; Problem Statement; Research Questions; Contribution of the Thesis; Published Results; Readers' Guide; Foundations; Semantic Web Technologies; The Vision of the Semantic Web; RDF and SPARQL; Knowledge Graph; Information Extraction, Machine Learning, Information Retrieval, and Data Quality; Information Extraction; Machine Learning; Information Retrieval; Data Quality; State-of-the-Art; Statistical Search for Relevant Information; Temporal Information Retrieval
505 8 ▼a Trend DetectionSemantic Search for Relevant Information; Semantic Search for Relevant Entities; Semantic Search for Relevant Statements; Semantic Search for Relevant Events; Statistical Search for Relevant, Novel Information; Characteristics of Statistical Search for Relevant, Novel Information; Evaluations and Data Sets; Approaches to the Statistical Search for Relevant, Novel Information; Semantic Search for Relevant, Novel Information; Semantic Search for Novel Entities; Semantic Search for Novel Statements; Semantic Search for Novel Events
505 8 ▼a The Suitability of Knowledge Graphs for Semantic Novelty DetectionSelection of Knowledge Graphs; Key Statistics of Selected Knowledge Graphs; Related Work; Number of Triples and Statements; Classes and Domains; Relations and Predicates; Instances and Entities; Subjects and Objects; Summary of Key Statistics; Completeness and Timeliness of Selected Knowledge Graphs; Gold Standard; Completeness; Timeliness; Discussion; Conclusions; Emerging Entity Detection; Motivation; Entity Linking Challenges Arising from Missing Entities and Missing Surface Forms; Overview of Entity Linking Challenges
505 8 ▼a Challenges in the WildSummary of Findings; Approach: Emerging Entity Detection; The Approach; Evaluation Results; Related Work; Challenge 1: Linking to in-KG Entities via Known Surface Forms; Challenge 2: Linking to in-KG Entities via Unknown Surface Forms; Challenge 3: Linking to Out-of-KG Entities via Known Surface Forms; Challenge 4: Linking to Out-of-KG Entities via Unkown Surface Forms; Conclusions; Novel Statement Extraction; Motivation; Measuring Semantic Novelty of Statements; The Novel Statement Extraction System; Textual Triple Extraction; KG Linking; Novelty Detection
505 8 ▼a Evaluation 1: CrunchBaseData Used; Evaluation Setting; Evaluation Results; Evaluation 2: DBpedia; Data Used; The Baseline Approach and its Evaluation Results; Evaluation Results of Our Approach; Discussion; Related Work; Conclusions; Conclusions; Summary; Limitations; Outlook; Appendix; Supplementary Material; Emerging Entity Detection; Bibliography
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Semantic computing.
650 0 ▼a Semantic Web.
830 0 ▼a Studies on the Semantic Web ; ▼v vol. 031.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1595323
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006 Accession No. E14006760 Availability Loan can not(reference room) Due Date Make a Reservation Service M

Contents information

Table of Contents

Title Page -- Abstract -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- List of Listings -- Introduction -- Motivation -- Problem Statement -- Research Questions -- Contribution of the Thesis -- Published Results -- Readers'' Guide -- Foundations -- Semantic Web Technologies -- The Vision of the Semantic Web -- RDF and SPARQL -- Knowledge Graph -- Information Extraction, Machine Learning, Information Retrieval, and Data Quality -- Information Extraction -- Machine Learning -- Information Retrieval -- Data Quality -- State-of-the-Art -- Statistical Search for Relevant Information -- Temporal Information Retrieval -- Trend Detection -- Semantic Search for Relevant Information -- Semantic Search for Relevant Entities -- Semantic Search for Relevant Statements -- Semantic Search for Relevant Events -- Statistical Search for Relevant, Novel Information -- Characteristics of Statistical Search for Relevant, Novel Information -- Evaluations and Data Sets -- Approaches to the Statistical Search for Relevant, Novel Information -- Semantic Search for Relevant, Novel Information -- Semantic Search for Novel Entities -- Semantic Search for Novel Statements -- Semantic Search for Novel Events -- The Suitability of Knowledge Graphs for Semantic Novelty Detection -- Selection of Knowledge Graphs -- Key Statistics of Selected Knowledge Graphs -- Related Work -- Number of Triples and Statements -- Classes and Domains -- Relations and Predicates -- Instances and Entities -- Subjects and Objects -- Summary of Key Statistics -- Completeness and Timeliness of Selected Knowledge Graphs -- Gold Standard -- Completeness -- Timeliness -- Discussion -- Conclusions -- Emerging Entity Detection -- Motivation -- Entity Linking Challenges Arising from Missing Entities and Missing Surface Forms -- Overview of Entity Linking Challenges -- Challenges in the Wild -- Summary of Findings -- Approach: Emerging Entity Detection -- The Approach -- Evaluation Results -- Related Work -- Challenge 1: Linking to in-KG Entities via Known Surface Forms -- Challenge 2: Linking to in-KG Entities via Unknown Surface Forms -- Challenge 3: Linking to Out-of-KG Entities via Known Surface Forms -- Challenge 4: Linking to Out-of-KG Entities via Unkown Surface Forms -- Conclusions -- Novel Statement Extraction -- Motivation -- Measuring Semantic Novelty of Statements -- The Novel Statement Extraction System -- Textual Triple Extraction -- KG Linking -- Novelty Detection -- Evaluation 1: CrunchBase -- Data Used -- Evaluation Setting -- Evaluation Results -- Evaluation 2: DBpedia -- Data Used -- The Baseline Approach and its Evaluation Results -- Evaluation Results of Our Approach -- Discussion -- Related Work -- Conclusions -- Conclusions -- Summary -- Limitations -- Outlook -- Appendix -- Supplementary Material -- Emerging Entity Detection -- Bibliography -- .

New Arrivals Books in Related Fields

Cartwright, Hugh M. (2021)
한국소프트웨어기술인협회. 빅데이터전략연구소 (2021)