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Page 155 of Journal of Research and Practice in Information Technology Vol. 9, Issue 4 [page]

1977 Journal of Research and Practice in Information Technology  
The paper describes the user’s view of the Query/Update language provided, and then describes the techniques used in implementing it.  ...  The Query/Update language consists of a set of commands designed for manipulating the sets of authors, titles and keywords and the relationships between them.  ... 

The effect of bilingual term list size on dictionary-based cross-language information retrieval

D. Demner-Fushman, D.W. Oard
2003 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the  
queries that are expressed in another.  ...  Supplemental techniques for named entity translation were found to be useful with even the largest lexicons.  ...  Acknowledgments The authors would like to thank Terry Zhao for tagging named entities in Chinese queries. This work has been supported in part by DARPA cooperative agreement N660010028910.  ... 
doi:10.1109/hicss.2003.1174250 dblp:conf/hicss/Demner-FushmanO03 fatcat:qdkngvr7ljf2lecaop4olfaspe

Text Mining: Techniques, Applications and Issues

Ramzan Talib, Muhammad Kashif, Shaeela Ayesha, Fakeeha Fatima
2016 International Journal of Advanced Computer Science and Applications  
This paper briefly discuss and analyze the text mining techniques and their applications in diverse fields of life.  ...  Rapid progress in digital data acquisition techniques have led to huge volume of data. More than 80 percent of today's data is composed of unstructured or semi-structured data.  ...  Natural languages have lots of complications in itself that create problem in text refinement methods and the identification of entity relationship.  ... 
doi:10.14569/ijacsa.2016.071153 fatcat:y7owr443uneqhj457ops34m3xa

Breaking Through the Syntax Barrier: Searching with Entities and Relations [chapter]

Soumen Chakrabarti
2004 Lecture Notes in Computer Science  
New algorithms will combine probabilistic evidence from diverse features to produce responses that are not URLs or pages, but entities and their relationships, or explanations of how multiple entities  ...  The database community has been traditionally uncomfortable with the imprecise nature of queries inherent in IR.  ...  Searching Relational Data with NL Queries In this section and the next ( §3.5), we will assume that information extraction and alias analysis have led to a reasonably clean entity-relationship (ER) graph  ... 
doi:10.1007/978-3-540-30116-5_3 fatcat:nb5u3uc2tfaxrdyxsvyeu6c76u

Breaking Through the Syntax Barrier: Searching with Entities and Relations [chapter]

Soumen Chakrabarti
2004 Lecture Notes in Computer Science  
New algorithms will combine probabilistic evidence from diverse features to produce responses that are not URLs or pages, but entities and their relationships, or explanations of how multiple entities  ...  The database community has been traditionally uncomfortable with the imprecise nature of queries inherent in IR.  ...  Searching Relational Data with NL Queries In this section and the next ( §3.5), we will assume that information extraction and alias analysis have led to a reasonably clean entity-relationship (ER) graph  ... 
doi:10.1007/978-3-540-30115-8_3 fatcat:5skzgqkx3zdarbkszlhsndvu4a

Implementation of the Prometheus Taxonomic Model: A Comparison of Database Models and Query Languages and an Introduction to the Prometheus Object-Oriented Model

Cédric Raguenaud, Martin R. Pullan, Mark F. Watson, Jessie B. Kennedy, Mark F. Newman, Peter J. Barclay, Cedric Raguenaud
2002 Taxon  
The new model, the Prometheus Object-Oriented Model (POOM) and its query language Prometheus Object-Oriented Language (POOL), are discussed in relation to the requirements of taxonomic data and the Prometheus  ...  POOM provides the ability to represent the semantics of relationships between data. This allows us to build the type of graph structures that are found in taxonomic hierarchies.  ...  ACKNOWLEDGEMENTS We wish to acknowledge the constructive comments of Walter Berendsohn and Marc Geoffroy in their review of this paper.  ... 
doi:10.2307/1554970 fatcat:4bz4kafqinhf3hsfjyx4j52ps4

KBot: a Knowledge graph based chatBot for natural language understanding over linked data

Addi Ait-Mlouk, Lili Jiang
2020 IEEE Access  
Secondly, we propose a machine learning approach based on intent classification and natural language understanding to understand user intents and generate SPARQL queries.  ...  With the rapid progress of the semantic web, a huge amount of structured data has become available on the web in the form of knowledge bases (KBs).  ...  ACKNOWLEDGEMENT This research is funded by Umeå University in Sweden on federated database research  ... 
doi:10.1109/access.2020.3016142 fatcat:d5jjftfr4bgxpfp5d7opmemviy

A Concise Survey on Datasets, Tools and Methods for Biomedical Text

R. Johnsi, G. Bharadwaja Kumar, Tulasi Prasad Sariki
2022 International Journal of Applied Engineering Research  
In today's advancement of the digital world, a huge amount of Biomedical information in the form of text data is accessible from research articles as well as blogs.  ...  This survey aims to bring out comprehensive tools, technologies, available Biomedical resources, algorithms and challenges faced in Biomedical text mining tasks.  ...  The partial-match approach ranks the closeness of the query in the pages relevant to the user using a natural language query or a vector-space model.  ... 
doi:10.37622/ijaer/17.3.2022.200-217 fatcat:2cw7f572rjfqvbnbrpq7gc75ue

Searching Web 2.0 Data Through Entity-Based Aggregation [chapter]

Ekaterini Ioannou, Yannis Velegrakis
2016 Lecture Notes in Computer Science  
Entity searching over Web 2.0 data facilitates the retrieval of relevant information from the plethora of data available in semantic and social web applications.  ...  Recent advances in crawling, information extraction, and data exchange technologies have brought a new era in data management, typically referred to through the term Web 2.0.  ...  Matching issues is the entities of this category can occur from misspellings, abbreviations, acronyms, naming variants, and use of different languages (i.e., multilingualism).  ... 
doi:10.1007/978-3-662-49521-6_7 fatcat:sx54fgvumzddnhlyjhx5x2sehm

Experiments on Robust NL Question Interpretation and Multi-layered Document Annotation for a Cross–Language Question/Answering System [chapter]

Günter Neumann, Bogdan Sacaleanu
2005 Lecture Notes in Computer Science  
This report describes the work done by the QA group of the Language Technology Lab at DFKI, for the 2004 edition of the Cross-Language Evaluation Forum (CLEF).  ...  The overall architecture of the extended system, as well as the results obtained in the CLEF-2004 Monolingual German and Bilingual German/English QA tracks will be presented and discussed throughout the  ...  Acknowledgement The work presented in this paper has been funded by the BMBF project Quetal, FKZ 01 IW C02. Many thanks to Jumamurat Bayjanov and Olga Goldmann for their implementation support.  ... 
doi:10.1007/11519645_41 fatcat:4n7xcuskgngjvpajgv3lxw5wyy

INVocD: Identifier name vocabulary dataset

Simon Butler, Michel Wermelinger, Yijun Yu, Helen Sharp
2013 2013 10th Working Conference on Mining Software Repositories (MSR)  
INVocD is a database of the identifier name declarations and vocabulary found in 60 FLOSS Java projects where the source code structure is recorded and the identifier name vocabulary is made directly available  ...  By recording program entities, their relationships and their associated identifier names, the model records the source code structure and location and relative relationships of the entities containing  ...  The identifier names in INVocD are drawn from a single programming language, and thus permit the investigation of the naming of single programming language entities across projects with the confidence  ... 
doi:10.1109/msr.2013.6624056 dblp:conf/msr/ButlerWYS13 fatcat:lh7cg57yarfaxnbwekv2t2bhbi

NATURAL LANGUAGE INTERFACE FOR QUERYING LINKED DATA USING CASE-BASED REASONING

Hasna Boumechaal, Zizette Boufaida
2021 Indian Journal of Computer Science and Engineering  
Next, we match the identified topic and search criteria to their corresponding entities in the dataset.  ...  With the emergence of Linked Data in RDF format, query systems should execute structured queries in SPARQL.  ...  LOD (Linked Open Data) resources and handle more complex queries.  ... 
doi:10.21817/indjcse/2021/v12i6/211206143 fatcat:mbdlapsqejdc3b4oy324qbyhcy

Recent progress in automatically extracting information from the pharmacogenomic literature

Yael Garten, Adrien Coulet, Russ B Altman
2010 Pharmacogenomics (London)  
' Recent work in biomedical text mining has drawn on techniques developed for natural language processing (NLP), and text mining can be thought of as a subset of NLP.  ...  Techniques from the fields of Natural Language Processing and Machine Learning are typically used to achieve this goal.  ... 
doi:10.2217/pgs.10.136 pmid:21047206 pmcid:PMC3035632 fatcat:7g3jwc4hjfetbb5phmzstzhjeu

AN APPROACH TO EXTENDING QUERY SENTENCE FOR SEMANTIC ORIENTED SEARCH ON KNOWLEDGE GRAPH

TẠ DUY CÔNG CHIẾN
2021 Journal of Science and Technology - IUH  
However, using relational databases do not sufficiently support the semantic orientated search by Structured Query Language (SQL) and the searching speed is slow.  ...  There are many applications related to semantic web, information retrieval, information extraction, and question answering applying ontologies in recent years.  ...  techniques for transforming keyword queries into meaningful SQL queries.  ... 
doi:10.46242/jst-iuh.v50i08.980 fatcat:qwzvlq7d45cqxhhpbma6yf3ava

Enhanced semantic access to the protein engineering literature using ontologies populated by text mining

Rene Witte, Thomas Kappler, Christopher J.O. Baker
2007 International Journal of Bioinformatics Research and Applications  
In this paradigm, an OWL-DL ontology becomes populated with instances detected through natural language processing (NLP).  ...  His work encompasses foundations in computational linguistics, software engineering aspects of natural language processing systems, as well as the application of text mining in diverse areas such as news  ...  Our text mining system needs to (i) detect organism descriptions in natural language texts, (ii) normalize those descriptions (e.g., in case of abbreviations), and (iii) uniquely ground each detected entity  ... 
doi:10.1504/ijbra.2007.015009 pmid:18048198 fatcat:u5ht7swye5bd3kx5nwrljw2cjq
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