FROM DATA AND INFORMATION RETRIEVAL TO
Semantic Information Retrieval from Distributed Heterogeneous Data Sources
... Abstract Information retrieval from distributed heterogeneous data sources remains a challenging ...of data sources increases more intelligent retrieval techniques, focusing on ...
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Issues of data modelling in information retrieval
... Auxiliary data is another different technique for representing the informative content of a ...Auxiliary data generally consists of a semantic structure incorporating a collection of words or terms which ...
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Big Data Challenges for Information Retrieval
... E Information Retrieval: needles in haystacks Branch of computer science behind search engines : find information among large, noisy, heterogeneous ...
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Combining Linked Data and Statistical Information Retrieval
... in data integration and analysis software within ...underlying information need. Therefore, combining scientifically sound information retrieval methods with static and dynamic Web data ...
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Information Retrieval Perspective to Interactive Data Visualization
... interactive data exploration with scat- ter ...multivariate data; to show high- dimensional data on a scatter plot, nonlinear dimensional- ity reduction (NLDR) is often ...in data is normally ...
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A generic framework for ontology-based information retrieval and image retrieval in web data
... Keywords: Information retrieval, Ontology, Image retrieval, Natural language processing, SPARQL query Background The web is vast, but it is not intelligent enough to recognize the queries made by ...
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Neural Models for Information Retrieval without Labeled Data
... I had the honor of collaborating with over 50 researchers so far, as either mentor, mentee, or collaborator. I have not only learned a lot from them, but also made many great friends. In particular, I would like ...
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Data Fusion in Patient Centered Health Information Retrieval
... eHealth Information Retrieval (IR) task that ran in 2013 [3,4], 2014 [5,6], 2015 [7] and 2016 [8] aim to evaluate the effectiveness of information retrieval systems when searching for health ...
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Harvesting and Structuring Social Data in Music Information Retrieval
... formation from social data is a hot topic in the Big Data ...tion Retrieval field has experienced an increase of related research in the last few ...Information Retrieval. This ...
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Joint Learning from Labeled and Unlabeled Data for Information Retrieval
... find from the results that classic IR models BM25 and QL perform sim- ilarly on the two collections, a conclusion that is coincident with previous ...learned from automatically labeled data, which ...
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A Data Structure for Cognitive Information Retrieval
... where after is, in this example, an n-ary relation relating cross and change. An algorithm for transforming natural language into this high-order structure is under development and will be discussed in a forthcoming ...
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Omic Data Modelling for Information Retrieval
... Omic data model The four different levels of data have been assessed to determine which data are ...of data bring together raw and processed data which are too low-level or voluminous ...
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Augmenting Data Retrieval with Information Retrieval Techniques by Using Word Similarity
... furniture from Craigslist and bibliographic data for published articles from ACM, were parsed into tables in a MySQL ...These data sets contain text representing semantic information, ...
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Data Mining. Introduction to Modern Information Retrieval from Databases and the Web. Administrivia
... of data mining Internet Web Surf-Aid – IBM Surf-Aid applies data mining algorithms to Web access logs for market-related pages to discover customer preference and behavior pages, analyzing effectiveness of ...
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Claudia. Big Data. IN4325 Information Retrieval
... ② Execution framework for clusters of commodity hardware • Developed by researchers at Google in 2003 • Built on principles in parallel and distributed processing • “MapReduce is used for the generation of data ...
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A multi-dimensional view on information retrieval of CMS data
... the data registered in DBS should only visible to that group or a user, while in global scope all data available for whole collaboration are ...Once data are ready, they are published to the global ...
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Think Data Structures: Algorithms and Information Retrieval in Java
... Now it’s your turn. Fill in the body of indexOf. As usual, you should read the documentation, at http://thinkdast.com/listindof, so you know what it is supposed to do. In particular, notice how it’s supposed to handle ...
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Information retrieval by semantically grouping search query data
... has used CNNs to classify sentences, by means of using word vector fea- tures computed according to the word2vec skip-gram method. The neural network is trained on sentence features derived from the vectors of ...
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Efficient Clustering Technique for Information Retrieval in Data Mining
... International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, Volume 2, Issue 5, May 2012) 459 The activity of exploring a collection of documents takes place when there ...
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Efficient Clustering Technique for Information Retrieval in Data Mining
... for information retrieval which focuses on revealing the structure of document collections is discussed, summarizing their content and presenting this content to a human user in a compact ...
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