Results 251 to 260 of about 1,934,537 (295)

Method for extracting commonsense knowledge

Proceedings of the fifth international conference on Knowledge capture, 2009
This paper presents a semiautomatic method for generating commonsense axioms. The method relies on three metarules that process a few commonsense rules referring to some concept properties. The proposed algorithm searches automatically in Extended WordNet for all concepts that have a given property and generates axioms linking those concepts with the ...
Hakki C. Cankaya, Dan I. Moldovan
openaire   +1 more source

Knowledge Extraction for Information Retrieval

2016
Document retrieval is the task of returning relevant textual resources for a given user query. In this paper, we investigate whether the semantic analysis of the query and the documents, obtained exploiting state-of-the-art Natural Language Processing techniques e.g., Entity Linking, Frame Detection and Semantic Web resources e.g., YAGO, DBpedia, can ...
Francesco Corcoglioniti, Mauro Dragoni, Marco Rospocher, Alessio Palmero Aprosio   +3 more
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Knowledge extraction for production management

Journal of Intelligent Manufacturing, 1994
A procedure and underlying algorithm for extracting knowledge from production and inventory databases to support engineering management activities is described. The process searches for, detects and isolates behaviour patterns inherent in the data. It relates these patterns to production irregularities, suggests connections with specific causes and ...
Reuven Karni, Fabiana Fournier
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A Memetic Approach for the Knowledge Extraction

2012
This paper provides a memetic approach in order to extract comprehensible and accurate classification rules. Indeed to construct a model of classification we need to extract not only accurate rules but comprehensible also, to help the human interpretation of the model and the decision make process.
Sadjia Benkhider, Oualid Dahmri, Habiba Drias   +2 more
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Extracting Sequential Nuggets of Knowledge

2007
We present the notion of sequential association rule and introduce Sequential Nuggets of Knowledge as sequential association rules with possible low support and good quality, which may be highly relevant to scientific knowledge discovery. Then we propose the algorithm SNK that mines some interesting subset of sequential nuggets of knowledge and apply ...
Christine Froidevaux, Frédérique Lisacek, Bastien Rance   +2 more
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Levels of knowledge for object extraction

Machine Vision and Applications, 1991
A paradigm for image interpretation and object extraction that deals explicitly with the levels of abstraction of such processes is described. The central new feature of this paradigm is two intermediate-level processes that deal with construction of symbolic image tokens and with symbolic descriptions of quantities.
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Multi-knowledge Extraction and Application

2003
Rough set theory provides approaches to the finding a reduct (informally, an identifying set of attributes) from a decision system or a training set. In this paper, an algorithm for finding multiple reducts is developed. The algorithm has been used to find the multi-reducts in data sets from UCI Machine Learning Repository.
Qingxiang Wu, David A. Bell
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Knowledge extraction from fictional texts

2022
Wissensextraktion ist ein Schlüsselaufgabe bei der Verarbeitung natürlicher Sprache, und umfasst viele Unteraufgaben, wie Taxonomiekonstruktion, Entitätserkennung und Typisierung, Relationsextraktion, Wissenskanonikalisierung, etc. Durch den Aufbau von strukturiertem Wissen (z.B.
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INTELLIGENT KNOWLEDGE EXTRACTION FROM THE WEB

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003
Many websites are in general poorly defined and its users are not able to find the information they need. That is the reason why many papers are addressed to propose techniques able to find the right information for a user. Most of these techniques focus on finding the required information in the whole Internet.
Jesús Cardeñosa Lera, Edmundo Tovar
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Extracting knowledge in the internet age

Proceedings of the 44th annual Southeast regional conference, 2006
Requirement analysis is an integral part of the software engineering process. Usually, the information to be modeled is relatively unbounded and lacks structure. This makes it difficult to obtain a consensus on the requirement analysis document. This paper provides an examination of how both requirement analysis and knowledge elicitation can be made ...
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