Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2018
Genre:	EDV / Informatik
	Artificial Intelligence / C / computer science / Computers / Data Warehousing / image segmentation / Information management / Information Retrieval / Information Storage and Retrieval / Künstliche Intelligenz / Mathematical theory of computation / metadata / pattern recognition / query languages / Search Engines / Semantic Web / Semantics / Theoretische Informatik / Theory of Computation / User Interfaces / Web Services / web technologies / World Wide Web mehr...
ISBN:	9783030013783
EAN-Code:	9783030013783
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Information Systems and Applications, incl. Internet/Web, and HCI #10959 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D 10 mm
Gewicht:	296 gr
Seiten:	171
Illustration:	XIV, 171 p. 46 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events.- iLastic: Linked Data Generation Workflow and User Interface for iMinds Scholarly Data.- About a BUOI: joint custody of persistent universally unique identifiers on the web, or, making PIDs more FAIR.- Extending ScholarlyData with research impact indicators.- Geographical trends in research: a preliminary analysis on authors affiliations.- A Web application for creating and sharing visual bibliographies.- Optimized Machine Learning Methods Predict Discourse Segment Type in Biological Research Articles.- EVENTS: A Dataset on the History of Top-Prestigious Events in Five Computer Science Communities.- OSCAR: A customisable tool for free-text search over SPARQL endpoints.- Storing combustion data experiments: new requirements emerging from a first prototype Position paper.- Investigating facets to characterise citations for scholars.- Striving for Semantics of Plant Phenotyping Data.