Inductive Reasoning and Machine Learning for the Semantic Web
نویسندگان
چکیده
منابع مشابه
Inductive Reasoning and Machine Learning for the Semantic Web
Claudia d’Amato aNicola Fanizzi a Marko Grobelnik b, Agnieszka Lawrinowicz c and Vojtech Svatek d a Department of Computer Sciece University of Bari, Italy E-mail: {claudia.damato | nicola.fanizzi}@uniba.it b Jozef Stefan Institute, Ljubljana, Slovenia E-mail: [email protected] c Poznan University of Technology, Poland E-mail: [email protected] d University of Economic...
متن کاملThe 2nd International Workshop on Inductive Reasoning and Machine Learning for the Semantic Web Proceedings
I will describe a novel meta-learning approach to optimizingthe knowledge discovery or data mining (DM) process. This approach hasthree features that distinguish it from its predecessors. First, previousmeta-learning research has focused exclusively on improving the learningphase of the DM process. More specifically, the goal of meta-learning hastypically been to select the ...
متن کاملSemantic Web Search and Inductive Reasoning
Extensive research activities are recently directed towards the Semantic Web as a future form of the Web. Consequently, Web search as the key technology of the Web is evolving towards some novel form of Semantic Web search. A very promising recent such approach is based on combining standard Web pages and search queries with ontological background knowledge, and using standard Web search engine...
متن کاملCombining Semantic Web Search with the Power of Inductive Reasoning
Extensive research activities are recently directed towards the Semantic Web as a future form of the Web. Consequently, Web search as the key technology of the Web is evolving towards some novel form of Semantic Web search. A very promising recent approach to such Semantic Web search is based on combining standard Web search with ontological background knowledge and using standard Web search en...
متن کاملInductive learning for the Semantic Web: What does it buy?
Nowadays, building ontologies is a time consuming task since they are mainly manually built. This makes hard the full realization of the Semantic Web view. In order to overcome this issue, machine learning techniques, and specifically inductive learning methods, could be fruitfully exploited for learning models from existing Web data. In this paper we survey methods for (semi-)automatically bui...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Semantic Web
سال: 2014
ISSN: 1570-0844
DOI: 10.3233/sw-130103