Schema matching and mapping /

Schema matching and mapping /

Détails bibliographiques
Auteur principal:	Bellahsene, Zohra
Format:	Livre
Langue:	English
Publié:	New York : Springer, 2011.
Sujets:	Ontologies (Information retrieval) Artificial intelligence > Data processing. Semantic integration (Computer systems)
Classic Catalogue:	View this record in Classic Catalogue

Documents similaires

A decentralised approach to information retrieval for a developing country like Bangladesh
par: Ali, Hammad, et autres
Publié: (2010)

Modern information retrieval /
par: Baeza-Yates, R. (Ricardo)
Publié: (1999)

Natural language understanding /
par: Allen, James, 1950-
Publié: (1995)

Natural language understanding /
par: Allen, James, 1950-
Publié: (1995)

Infrastructure for Bangla information retrieval in context of ICT for development
par: Haque, Nafid, et autres
Publié: (2010)

ORACLE Pro*C user's guide /
par: Neville, Donna
Publié: (1987)

Information systems for you /
par: Doyle,Stephen
Publié: (2002)

Impact of Huawei cloud solution in Bangladesh business and its information system
par: Abid, Meraj
Publié: (2024)

Producing self tuned music using machine learning tools
par: Tasneem, Akifa, et autres
Publié: (2018)

Ontological formation of the Otaku subculture and subjects in Bangladesh
par: Yameen, Syed Ibtesham
Publié: (2017)

To have or to be? /
par: Fromm, Erich, 1900-1980
Publié: (1976)

Retrieving architectural information objects by the heuristics of laziness/
par: Inanc,Bhari Sinan
Publié: (2003)

Prolog programming for artificial intelligence /
par: Bratko, Ivan, 1914-
Publié: (2001)

Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
par: Sayma, Sadika, et autres
Publié: (2024)

Making AI intelligible :
par: Cappelen, Herman

Artificial Intelligence : a new synthesis /
par: Nilsson, Nils J., 1933-
Publié: (1998)

Artificial intelligence /
par: Rich, Elaine
Publié: (1991)

Artificial intelligence : a modern approach /
par: Russell, Stuart J. (Stuart Jonathan)
Publié: (2003)

Introduction to artificial intelligence /
par: Charniak, Eugene
Publié: (1985)

Principles of artificial intelligence /
par: Nilsson, Nils J., 1933-
Publié: (1980)

Artificial intelligence /
par: Winston, Patrick Henry
Publié: (1992)

Artificial intelligence at MIT : expanding frontiers /
Publié: (1990)

Introduction to artificial intelligence /
par: Jackson, Philip C., 1949-
Publié: (1985)

Java Deep Learning Cookbook : Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j /
par: Raj, Rahul
Publié: (2019)

Implementing A.I based solutions to understand & predict consumer sentiment
par: Bin Ahmed, Omar
Publié: (2023)

A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
par: Islam, Tanhim, et autres
Publié: (2018)

The body multiple : ontology in medical practice /
par: Mol, Annemarie
Publié: (2002)

Start up business solution using machine learning
par: Sohan, Saad Ahmed, et autres
Publié: (2018)

Tapping into unstructured data : integrating unstructured data and textual analytics into business intelligence /
par: Inmon, William H.
Publié: (2008)

Introduction to AI robotics /
par: Murphy, Robin, 1957-
Publié: (2000)

Intelligent systems and robotics /
Publié: (2000)

Artificial intelligence : a modern approach /
par: Russell, Stuart J. (Stuart Jonathan)
Publié: (2016)

Remote monitoring and detection of water contamination in effluent treatment plants
par: Hossain, Akib, et autres
Publié: (2024)

Artificial intelligence in HR Management
par: Lamia, Ridwana Islam
Publié: (2023)

Agent, person, subject, self
par: Kockelman, Paul

Relational Knowledge Discovery
par: M. E. Müller
Publié: (2012)

Sematics /
par: Cowie, Anthony Paul
Publié: (2009)

Introduction to artificial intelligence and expert systems /
par: Patterson, Dan W., 1930-
Publié: (1990)

Introduction to artificial intelligence and expert systems /
par: Patterson, Dan W., 1930-
Publié: (1990)

Artificial intelligence : a guide to intelligent systems /
par: Negnevitsky, Michael
Publié: (2002)