標(biāo)題: Titlebook: An Introduction to Knowledge Graphs; Umutcan Serles,Dieter Fensel Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exc [打印本頁(yè)] 作者: LANK 時(shí)間: 2025-3-21 18:53
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs影響因子(影響力)
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs被引頻次
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs被引頻次學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs年度引用
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs年度引用學(xué)科排名
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs讀者反饋
書(shū)目名稱(chēng)An Introduction to Knowledge Graphs讀者反饋學(xué)科排名
作者: 漂亮 時(shí)間: 2025-3-21 22:49 作者: 艦旗 時(shí)間: 2025-3-22 04:18 作者: modest 時(shí)間: 2025-3-22 06:18 作者: 證明無(wú)罪 時(shí)間: 2025-3-22 11:40
Philip Kotler,Waldemar Pf?rtsch,Uwe Sponholzevel, which provides language primitives that connect logical knowledge representation with the conceptual level (e.g., knowledge representation with ontologies); and, finally, the linguistic level, where knowledge is represented via natural language. We briefly introduce these five levels with examples.作者: 設(shè)想 時(shí)間: 2025-3-22 16:21 作者: 可商量 時(shí)間: 2025-3-22 17:10 作者: Condense 時(shí)間: 2025-3-22 23:27 作者: 招待 時(shí)間: 2025-3-23 05:00
The Five Levels of Representing Knowledgeevel, which provides language primitives that connect logical knowledge representation with the conceptual level (e.g., knowledge representation with ontologies); and, finally, the linguistic level, where knowledge is represented via natural language. We briefly introduce these five levels with examples.作者: oblique 時(shí)間: 2025-3-23 07:34
The Logical Level-order logic such as Herbrand models and description logic, which have more desirable computational properties. These two variations on first-order logic are the logical foundations of F-logic and OWL, respectively. Finally, we cover the formal semantics for RDF(S) and SPARQL, which deviate from the logical formalisms introduced before.作者: Predigest 時(shí)間: 2025-3-23 12:59 作者: engagement 時(shí)間: 2025-3-23 16:16
978-3-031-45255-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: echnic 時(shí)間: 2025-3-23 20:02
Umutcan Serles,Dieter FenselIntroduces the theoretical foundations of technologies essential for knowledge graphs.Presents practical examples and tools illustrating the process of knowledge graph creation and exploitation.Writte作者: 用不完 時(shí)間: 2025-3-24 01:54
http://image.papertrans.cn/b/image/167424.jpg作者: 客觀 時(shí)間: 2025-3-24 03:19
https://doi.org/10.1007/978-3-642-70242-6ntelligence community, starting from the 1950s. We start with the initial attempt at a General Problem Solver, whose limitations revealed the need for knowledge. We give a brief introduction to different knowledge representation paradigms, reasoning, and knowledge modeling with a particular focus on作者: investigate 時(shí)間: 2025-3-24 08:50
https://doi.org/10.1007/978-3-642-70242-6minent information retrieval applications, namely, Web search. Even in its early years, the Web contained a vast number of documents that made it necessary to rank the documents returned for a query. We explain the perhaps most popular ranking algorithm, PageRank, which benefits from the hypertext n作者: Ejaculate 時(shí)間: 2025-3-24 12:52
https://doi.org/10.1007/978-3-030-59531-9cover the most important building blocks of the WWW – Uniform Resource Identifiers (URIs) for resource identification, Hypertext Transfer Protocol (HTTP) and Representational State Transfer (REST) for information exchange, and Hypertext Markup Language (HTML) and Extensible Markup Language (XML) as 作者: cluster 時(shí)間: 2025-3-24 17:30
Finding Meaning in a Troubled World,ledge from text and integrating it into knowledge graphs. We provide a brief introduction to a typical NLP pipeline and give an example implementation based on the General Architecture for Text Engineering (GATE) tool.作者: AER 時(shí)間: 2025-3-24 22:29
Daniela Posada,Waldemar Pfoertschdifficult and expensive to transfer knowledge from experts to intelligent applications. Semantic Web helped solve the bottleneck and scaling Web search across the ever-increasing number of documents. We briefly introduce the main building blocks of the Semantic Web and the first systems that allowed作者: expound 時(shí)間: 2025-3-25 00:48 作者: medieval 時(shí)間: 2025-3-25 05:58
Charlotte Schatz,Waldemar PfoertschLinked Open Data (LOD) initiatives provided the bridge between those data and the Semantic Web. We briefly introduce the Linked Data and Linked Open Data principles and present an architecture from the literature for publishing Linked Data.作者: Admonish 時(shí)間: 2025-3-25 07:35 作者: Camouflage 時(shí)間: 2025-3-25 12:36 作者: Fsh238 時(shí)間: 2025-3-25 18:17 作者: assail 時(shí)間: 2025-3-25 20:32
https://doi.org/10.1007/978-1-4684-8818-0conceptual level, epistemological level, logical level from a frame logic (F-logic) and first-order logic (FOL) perspective, and, finally, at the implementation level to show how it is encoded with Resource Description Framework (RDF) serialization formats.作者: 法官 時(shí)間: 2025-3-26 02:03
Artificial Intelligencentelligence community, starting from the 1950s. We start with the initial attempt at a General Problem Solver, whose limitations revealed the need for knowledge. We give a brief introduction to different knowledge representation paradigms, reasoning, and knowledge modeling with a particular focus on ontologies.作者: Fabric 時(shí)間: 2025-3-26 06:19 作者: 織物 時(shí)間: 2025-3-26 11:33 作者: 違抗 時(shí)間: 2025-3-26 16:36
Databases technology with a particular focus on different knowledge graph hosting paradigms. We briefly introduce relational databases, deductive and object-oriented databases, as well as “not only SQL” (NoSQL) solutions like document stores and graph databases.作者: 暗指 時(shí)間: 2025-3-26 19:38 作者: 急急忙忙 時(shí)間: 2025-3-26 23:36
Epistemology. In the context of knowledge graphs, epistemological primitives manifest as languages for modelling and manipulating knowledge. In this chapter, we introduce the modelling primitives of RDF(S), SPARQL, SHACL, OWL, Rules, F-logic, and SKOS with examples.作者: 植物學(xué) 時(shí)間: 2025-3-27 05:12 作者: 無(wú)動(dòng)于衷 時(shí)間: 2025-3-27 08:55
Die Septumperforation und ihre BehandlungWe provide an introduction to Part I of the book, where we put the knowledge graph technology in context. We visualize the relationship between knowledge graphs and different fields, like artificial intelligence, the Semantic Web, and the Web of Data, as well as some other related fields around these major areas.作者: 組裝 時(shí)間: 2025-3-27 11:40 作者: fringe 時(shí)間: 2025-3-27 16:38 作者: 殘忍 時(shí)間: 2025-3-27 20:59 作者: micronutrients 時(shí)間: 2025-3-28 01:02
HACCP: Definitions and Principles,This chapter provides a summary of Part II of the book, which was about knowledge representation.作者: 衰老 時(shí)間: 2025-3-28 02:21 作者: BALK 時(shí)間: 2025-3-28 07:28 作者: MOAN 時(shí)間: 2025-3-28 11:37
Knowledge GraphsWe conclude Part I of the book with a short transition to knowledge graphs, which we put in context in the previous nine chapters. We make an elaborate definition and provide an example knowledge graph, as well as some statistics about popular knowledge graphs.作者: aerial 時(shí)間: 2025-3-28 16:38
Introduction to Knowledge RepresentationPart II of the book starts with an introduction to knowledge representation, particularly focused on the definition of “semantics” for machines and humans. We introduce different kinds of semantics, such as intensional, extensional, and prototypical semantics.作者: 新星 時(shí)間: 2025-3-28 19:27
SummaryThis chapter provides a summary of Part II of the book, which was about knowledge representation.作者: 使閉塞 時(shí)間: 2025-3-29 01:40
https://doi.org/10.1007/978-3-642-70242-6ntelligence community, starting from the 1950s. We start with the initial attempt at a General Problem Solver, whose limitations revealed the need for knowledge. We give a brief introduction to different knowledge representation paradigms, reasoning, and knowledge modeling with a particular focus on ontologies.作者: 象形文字 時(shí)間: 2025-3-29 06:06
https://doi.org/10.1007/978-3-642-70242-6minent information retrieval applications, namely, Web search. Even in its early years, the Web contained a vast number of documents that made it necessary to rank the documents returned for a query. We explain the perhaps most popular ranking algorithm, PageRank, which benefits from the hypertext nature of Web documents.作者: guardianship 時(shí)間: 2025-3-29 10:38
Finding Meaning in a Troubled World,ledge from text and integrating it into knowledge graphs. We provide a brief introduction to a typical NLP pipeline and give an example implementation based on the General Architecture for Text Engineering (GATE) tool.作者: REP 時(shí)間: 2025-3-29 13:51 作者: 機(jī)警 時(shí)間: 2025-3-29 19:27 作者: 巨頭 時(shí)間: 2025-3-29 19:51 作者: 弓箭 時(shí)間: 2025-3-30 03:19 作者: Defense 時(shí)間: 2025-3-30 07:42
Artificial Intelligencentelligence community, starting from the 1950s. We start with the initial attempt at a General Problem Solver, whose limitations revealed the need for knowledge. We give a brief introduction to different knowledge representation paradigms, reasoning, and knowledge modeling with a particular focus on作者: FEIGN 時(shí)間: 2025-3-30 10:55
Information Retrieval and Hypertextminent information retrieval applications, namely, Web search. Even in its early years, the Web contained a vast number of documents that made it necessary to rank the documents returned for a query. We explain the perhaps most popular ranking algorithm, PageRank, which benefits from the hypertext n作者: 發(fā)酵劑 時(shí)間: 2025-3-30 13:04
The World Wide Webcover the most important building blocks of the WWW – Uniform Resource Identifiers (URIs) for resource identification, Hypertext Transfer Protocol (HTTP) and Representational State Transfer (REST) for information exchange, and Hypertext Markup Language (HTML) and Extensible Markup Language (XML) as 作者: ingenue 時(shí)間: 2025-3-30 17:47 作者: 或者發(fā)神韻 時(shí)間: 2025-3-30 21:12 作者: 爵士樂(lè) 時(shí)間: 2025-3-31 03:51
Databases technology with a particular focus on different knowledge graph hosting paradigms. We briefly introduce relational databases, deductive and object-oriented databases, as well as “not only SQL” (NoSQL) solutions like document stores and graph databases.作者: 有危險(xiǎn) 時(shí)間: 2025-3-31 06:14
Web of DataLinked Open Data (LOD) initiatives provided the bridge between those data and the Semantic Web. We briefly introduce the Linked Data and Linked Open Data principles and present an architecture from the literature for publishing Linked Data.作者: separate 時(shí)間: 2025-3-31 13:07 作者: Adrenal-Glands 時(shí)間: 2025-3-31 13:42 作者: 核心 時(shí)間: 2025-3-31 19:44
The Logical Levelpter, we introduce different logical formalisms starting with propositional and first-order logic. Then, we introduce different modifications to first-order logic such as Herbrand models and description logic, which have more desirable computational properties. These two variations on first-order lo作者: 言外之意 時(shí)間: 2025-4-1 00:42
