Personal Knowledge Graphs (PKGs) Methodology, Tools and Applications.
Personal knowledge graphs (PKGs) support the development of innovative digitalized personalized applications, which keep users updated, help them manage their day-to-day activities and facilitate informed decisions. This book systematically explores the global advanced research around PKGs from meth...
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Other Authors: | , , |
Format: | eBook |
Language: | English |
Published: |
Stevenage :
Institution of Engineering & Technology,
2023.
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Series: | Computing and Networks Series.
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035 | |a (OCoLC)1409031994 | ||
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100 | 1 | |a Tiwari, Sanju. | |
245 | 1 | 0 | |a Personal Knowledge Graphs (PKGs) |b Methodology, Tools and Applications. |
260 | |a Stevenage : |b Institution of Engineering & Technology, |c 2023. | ||
300 | |a 1 online resource (339 p.). | ||
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338 | |a volume |b nc |2 rdacarrier | ||
490 | 1 | |a Computing and Networks Series | |
500 | |a Description based upon print version of record. | ||
505 | 0 | |a Intro -- Title -- Copyright -- Contents -- About the editors -- Foreword -- Section 1: Introduction and Overview -- 1 Personal knowledge graphs: an introduction -- 1.1 Introduction -- 1.2 Related work -- 1.3 Knowledge representation in PKG -- 1.4 PKG popularity -- 1.5 PKG construction -- 1.6 PKG tools and techniques -- 1.7 PKG, how different from general KGs -- 1.8 PKG use-cases -- 1.9 Challenges and issues in PKGs -- 1.10 Future scope -- 1.11 Conclusion -- References -- 2 Applications of personal knowledge graphs -- 2.1 Introduction -- 2.1.1 PKGs introduction: definition/terminology/synonyms | |
505 | 8 | |a 2.1.2 PKGs related/overlapping/convergent fields -- 2.1.3 Definition: what is a KG? -- 2.1.4 Definition: so, what is a PKG? What differentiates a PKG w.r.t. KGs? -- 2.1.5 PKG types according to underlying models/implementation -- 2.1.6 Contributions -- 2.2 PKGs classification according to application type -- 2.2.1 Generic: PKGs construction from local/remote resources -- 2.2.2 Personal information managers (PIMs) -- 2.2.3 E-learning systems -- 2.2.4 Personal health knowledge graphs (PHKGs) -- 2.2.5 Personal digital assistants (PDAs) -- 2.2.6 Personalized/summarized KGs (PKG2) | |
505 | 8 | |a 2.2.7 Decentralized web (DW) -- 2.2.8 Neuro-symbolic PKGs -- 2.2.9 Personal Research Knowledge Graphs (PRKGs) -- 2.3 PKGs -- a common reference architecture for semantic web-based PKG -- 2.4 PKGs current status and future research -- 2.5 Conclusions -- References -- Section 2: Knowledge representation and reasoning -- 3 Knowledge representation and reasoning in personal knowledge graphs -- 3.1 The semantic web stack -- 3.1.1 Representing knowledge -- 3.1.2 Reasoning -- 3.1.3 Querying -- 3.1.4 Validating -- 3.2 PKGs based on RDF -- 3.2.1 Semantic desktop -- 3.2.2 From desktop to devices | |
505 | 8 | |a 3.2.3 Re-decentralizing the web -- 3.3 Data sharing and compliance -- 3.3.1 Policies -- 3.3.2 Data annotations to connect policies -- 3.3.3 Data sharing -- 3.4 Conclusion -- References -- 4 From knowledge to reasoning, a cognitive perspective on personal knowledge graphs -- 4.1 Motivation -- 4.2 Introduction -- 4.3 Plausible knowledge -- 4.3.1 The plausible knowledge notation -- 4.3.2 Statement metadata -- 4.3.3 Plausible inferences -- 4.4 Computing certainty -- 4.5 Relationship to fuzzy logic -- 4.6 Richer queries and fuzzy quantifiers -- 4.7 Reasoning by analogy | |
505 | 8 | |a 4.8 Inferences vs model construction -- 4.9 Metacognition -- 4.10 Non-deductive reasoning and imagined contexts -- 4.11 PKN in relation to RDF and LPG -- 4.12 Scaling and graphs of overlapping graphs -- 4.13 Cognitive architecture for artificial minds -- 4.13.1 Systems 1 and 2 -- 4.14 Modeling the cortico-basal ganglia circuit -- 4.15 Chunks and rules -- 4.15.1 Chunk rules -- 4.16 Iteration over properties -- 4.16.1 Operations on comma-separated lists -- 4.16.2 Named contexts -- 4.16.3 More complex queries -- 4.17 Natural language -- 4.17.1 Large language models | |
500 | |a 4.17.2 Natural language and common sense | ||
520 | |a Personal knowledge graphs (PKGs) support the development of innovative digitalized personalized applications, which keep users updated, help them manage their day-to-day activities and facilitate informed decisions. This book systematically explores the global advanced research around PKGs from methodologies to tools and applications. | ||
700 | 1 | |a Scharffe, François. | |
700 | 1 | |a Ortiz-Rodríguez, Fernando. | |
700 | 1 | |a Gaur, Manas. | |
776 | 0 | 8 | |i Print version: |a Tiwari, Sanju |t Personal Knowledge Graphs (PKGs) |d Stevenage : Institution of Engineering & Technology,c2023 |
830 | 0 | |a Computing and Networks Series. | |
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