Text processing to extract content for ontologies
A text processing pipeline to extract recommendations from radiology reports
... researchers did not analyze the documents at the sentence level. The same research group performed a similar analysis on a data- base of radiology reports covering the years 1995–2004 [19] . From that database, they ...
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Influence of processing parameters on the yield and 6 gingerol content of Zingiber officinale extract
... ginger extract at optimum condition CONCLUSION This research was conducted to investigate the performance of hydrodistillation method in the extraction of essential oil from Ginger (Zingiber Officinale) based on ...
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A Text-based Query Interface to OWL Ontologies
... List Processing Resources is run against the GATE knowledge base, all known instances of the class Processing Resource will be returned, because Pro- cessing Resources is identified as a key concept ...
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Learning SKOS relations for terminological ontologies from text
... performs content analysis using Latent Dirichlet Allocation which has been proved as a superior model for document ...terminological ontologies using an iterative algorithm based on the “broader” relation ...
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Processing Schedules using Distributed Ontologies on the Semantic Web
... require content providers to use a single centralized on- tology; but instead supports the use of many different ontologies, it is unrealistic to assume that agents and services will understand all possible ...
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Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies
... and ontologies may go in two ...to extract, from a given dataset, a conceptual hierarchy which may serve as a basis for the manual or semi-automatic development of an ...
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Towards Very Large Ontologies for Medical Language Processing
... 4. Discussion and Conclusions In medical language processing, knowledge of the un- derlying domain has to be supplied on a larger scale. In- stead of developing sophisticated medical knowledge bases from scratch, ...
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Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies
... from text we make use of a natural language parser, which produces a syntactic tree for each sentence in the text and from which these dependencies can be obtained in a straightforward ...
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UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text
... that processing of the same text for different tasks (MTI and clinical entity extraction) needs different models [17] , but also that processing of different text types (cita- tions ...
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Multilingual Content Processing
... • automatic classification of incoming texts is used as a first-level filter, to get rid of irrelevant material • key word and index term extraction allows for a finer-graded determination of the topic of a document. ...
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A Process for Extracting Non Taxonomic Relationships of Ontologies from Text
... Maedech and Staab [1] propose a similar process to that of Villaverde et al. [5], with the difference that it uses an algorithm of generalized association rules [14] to suggest the possible most appropriate hierarchical ...
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Enabling a Knowledge Supply Chain: From Content Resources to Ontologies
... Support for ontology-based annotation is provided by an ontology gazetteer that links the classes of a specified ontology to the annotations created by a lexicon lookup com- ponent. UIMA’s architecture consists of ...
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Text 2 CONTENT pdf
... analyzing, summarizing, and practicing. Sherrod (1982) in Agustina (2002) says that cognitive psychologists are concerned with how people attend to information in the environment and how they process that information in ...
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Extract offender information from text
... The classifiers in chapter 6 have the concerns that the additional information that they obtain is not enough for distinguishing named entities in a clause, considering that there wasn’t much time left to annotate ...
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Learning to Extract Keyphrases from Text
... We assume that the user sets the value of NUM _ PHRASES , the desired number of phrases, to a value between five and fifteen. We then set NUM _ WORKING to . The remaining ten parameters are set by Genitor. Genitor uses a ...
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CASSANDRA: drug gene association prediction via text mining and ontologies
... In Chapter 4 (Results) the co-occurrence statistics of drugs, genes, MeSH Disease and GO terms in MEDLINE indexed abstracts and titles are pro- vided. The generation of the datasets used for the algorithm’s evaluation ...
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The following program is aiming to extract from a simple text file an analysis of the content such as:
... the text from a simple text file (my original aim was to use something in the same feel as page 464 of Java in two semesters) and so I resorted to requesting an input from the ...
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PRE-PROCESSING ONTOLOGIES TO IMPROVE THE RESULTS OF MATCHERS
... renders ontologies easier to understand by both humans and matchers and also helps avoid some common mistakes in the alignment ...refactored ontologies as opposed to the original unrepaired ...
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The Use of Ontologies in Forensic Analysis of Smartphone Content
... the ontologies defined in Dosis’s approach are limited and model only a small part of a computer ...different ontologies can be ...the ontologies are designed, which is essen- tial to ensure a ...
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Bootstrapping Biomedical Ontologies for Scientific Text using NELL
... biomedical text based on NELL (the Never-Ending Language Learner) (Carl- son et ...from text, given an initial ontology and a small number of “seeds” for each ontology ...biomedical text quickly ...
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