Results 261 to 270 of about 8,642,195 (291)

Automatic Extraction of Actionable Knowledge

2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 2016
In this paper, we describe K-Extractor, a powerful NLP framework that provides integrated and seamless access to structured and unstructured information with minimal effort. The K-Extractor converts natural language documents into a rich set of semantic triples that, not only, can be stored within an RDF semantic index, but also, can be queried using ...
Marta Tatu, Mithun Balakrishna, Steven Werner, Tatiana N. Erekhinskaya, Dan I. Moldovan   +4 more
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
openaire   +3 more sources

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
openaire   +1 more source

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 ...
openaire   +2 more sources

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
openaire   +2 more sources

User-centric knowledge extraction and maintenance

2014
Eine Ontologie ist eine Wissenssammlung in maschinenlesbarer Form. Da eine große Bandbreite an Informationen nur in natürlichsprachlicher Form verfügbar ist, werden maschinenlesbare Ontologien häufig durch imperfekte automatische Verfahren erzeugt, die eine Übersetzung in eine maschinenlesbare Darstellung vornehmen.
openaire   +3 more sources

Knowledge-enhanced event relation extraction via event ontology prompt

Information Fusion, 2023
Po Hu, Ling Zhuang
exaly  

Joint models for information and knowledge extraction

2017
Informations- und Wissensextraktion aus natürlichsprachlichen Texten sind Schlüsselthemen vieler wissensbassierter Anwendungen. Darunter fallen zum Beispiel Frage-Antwort-Systeme, semantische Suchmaschinen, oder Applikationen zur automatischen Zusammenfassung und zum maschinellem Lesen von Texten. Zur Lösung dieser Aufgaben müssen u.a.
openaire   +3 more sources

Review on knowledge extraction from text and scope in agriculture domain

Artificial Intelligence Review, 2022
Nismi Mol E A
exaly  

Extracting a medicine or extracting knowledge

Journal of Ethnopharmacology, 2014
openaire   +2 more sources