An ontology is a computer-processable collection of knowledge about the world.
This thesis explains how an ontology can be constructed and expanded auto-
matically. The proposed approach consists of three contributions:
1. A core ontology, YAGO.
YAGO is an ontology that has been constructed automatically. It com-
bines high accuracy with large coverage and serves as a core that can be
expanded.
2. A tool for information extraction, LEILA.
LEILA is a system that can extract knowledge from natural language
texts. LEILA will be used to ¯nd new facts for YAGO.
3. An integration mechanism, SOFIE.
SOFIE is a system that can reason on the plausibility of new knowl-
edge. SOFIE will assess the facts found by LEILA and integrate them
into YAGO.
Each of these components comes with a fully implemented system. Together,
they form an integrative architecture, which does not only gather new facts,
but also reconcile them with the existing facts. The result is an ever-growing,
yet highly accurate ontological knowledge base. A survey of applications of the
ontology completes the thesis.
Zotero [zoh-TAIR-oh] is a free, easy-to-use Firefox extension to help you collect, manage, and cite your research sources. It lives right where you do your work — in the web browser itself. Features Automatic capture of citation information from
M. Alrifai, P. Dolog, and W. Nejdl. Proceedings of the joint international workshop on Adaptivity, personalization & the semantic web, page 31--34. New York, NY, USA, ACM, (2006)
G. Angelova. Proceedings of the 13th International Conference on Conceptual Structures (ICCS 2005), volume 3596 of Lecture Notes in Computer Science, page 367-380. Springer, (2005)