
By Patrice Bellot, Ludovic Bonnefoy, Vincent Bouvier, Frédéric Duvert, Young-Min Kim (auth.), Colette Faucher, Lakhmi C. Jain (eds.)
This examine quantity is a continuation of our past volumes on clever computer. it's divided into 3 elements. half I offers with great info and ontologies. It comprises examples regarding the textual content mining, rule mining and ontology. half II is on knowledge-based structures. It comprises context-centered structures, wisdom discovery, interoperability, consistency and structures of platforms. the ultimate half is on functions. The purposes contain prediction, selection optimization and assessment.
This publication is directed to the researchers who desire to discover the sector of data engineering further.
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Additional resources for Innovations in Intelligent Machines-4: Recent Advances in Knowledge Engineering
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Berland and Charniak [10] introduced patterns for extracting meronyms (parts) like ‘‘NP’s NP’’ (phone’s battery) or ‘‘NP of NPs’’ (battery of phones). Poesio and Almuhareb [76] proposed additional patterns and refined those proposed by Berland (‘‘NP’s NP {is | are | was | were}’’). Sánchez [93] added patterns with verbs indicating inclusion like ‘‘NP {come | comes | came} with NP}’’ (phone come with battery). Zhao et al. [114] learned syntactic structures from examples and then compared them to syntactic trees in texts to find attributes.
Redirect pages are to redirect a user to another page where content relates the current page. It is often used for acronym such as UK page that is redirected to United Kingdom page. This particular feature also helps for handling acronyms. • Hat notes are used when there is one really common usage of the word (for instance Rice) but other senses exist. The main pages are filled with common sense content and the hat notes contains an hyperlink that points to the disambiguation page or if only one other sense is known, it points directly to the other sense page.
It is well known that we cannot construct a totally universal model for a learning task that works well for any new instances. It is unavoidable to restrict target-training data and we usually evaluate a constructed system on a closed dataset, which has same distributions with training set. Nevertheless, to design a system less dependent on change of training data is always an interesting subject. And that is why a well-designed system ponders on an efficient way of selecting and updating training data.