LIMES: A Framework for Link Discovery on the Semantic Web

التفاصيل البيبلوغرافية
العنوان: LIMES: A Framework for Link Discovery on the Semantic Web
المؤلفون: Mofeed M. Hassan, Kleanthi Georgala, Daniel Obraczka, Klaus Lyko, Axel-Cyrille Ngonga Ngomo, Kevin Dreßler, Tommaso Soru, Mohamed Ahmed Sherif
المصدر: KI - Künstliche Intelligenz. 35:413-423
بيانات النشر: Springer Science and Business Media LLC, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Focus (computing), business.industry, Computer science, media_common.quotation_subject, Computation, 010401 analytical chemistry, 02 engineering and technology, Linked data, 01 natural sciences, 0104 chemical sciences, Distributed knowledge, Artificial Intelligence, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Quality (business), Architecture, Software engineering, business, License, Semantic Web, media_common
الوصف: The Linked Data paradigm builds upon the backbone of distributed knowledge bases connected by typed links. The mere volume of current knowledge bases as well as their sheer number pose two major challenges when aiming to support the computation of links across and within them. The first is that tools for link discovery have to be time-efficient when they compute links. Secondly, these tools have to produce links of high quality to serve the applications built upon Linked Data well. Solutions to the second problem build upon efficient computational approaches developed to solve the first and combine these with dedicated machine learning techniques. The current version of theLimesframework is the product of seven years of research on these two challenges. A series of machine learning techniques and efficient computation approaches were developed and integrated into this framework to address the link discovery problem. The framework combines these diverse algorithms within a generic and extensible architecture. In this article, we give an overview of version 1.7.4 of the open-source release of the framework. In particular, we focus on an overview of the architecture of the framework, an intuition of its inner workings and a brief overview of the approaches it contains. Some descriptions of the applications within which the framework was used complete the paper. Our framework is open-source and available under a GNU license athttps://github.com/dice-group/LIMEStogether with a user manual and a developer manual.
تدمد: 1610-1987
0933-1875
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::f4a7c716dbb617969f393a5080a4229dTest
https://doi.org/10.1007/s13218-021-00713-xTest
حقوق: OPEN
رقم الانضمام: edsair.doi...........f4a7c716dbb617969f393a5080a4229d
قاعدة البيانات: OpenAIRE