NLDB (Natural Language Database) 2015


Notes:

  • Natural language interface to databases (NLIDB)

Resources:

  • nldb.org .. international conference on natural language and information systems

References:

See also:

NLDB (Natural Language Database) 2014


The TypeCraft Natural Language Database: Annotating and Incorporating Urdu S Muzaffar, P Behera, GN Jha, L Hellan… – Indian Journal of …, 2015 – indjst.org Abstract The authors present one of the important Indo-Aryan languages ie Urdu on the TypeCraft platform, which is an online, multilingual, and corpus-based, natural language database and a documentary platform for natural languages. Previously, the platform has Cited by 1 Related articles All 2 versions

Natural Language Database Interface APR Kundu, APP Gholap, APS Mane – ijarcce.com Abstract: Databases have become ubiquitous. Almost all IT applications are storing and retrieving information from databases. Retrieving information from the database requires knowledge of technical languages such as Structured Query Language (SQL). However Related articles All 2 versions

Aneesah: A Conversational Natural Language Interface to Databases K Shabaz, JD O’Shea, KA Crockett… – Proceedings of the World …, 2015 – iaeng.org Abstract–This paper presents the design and development of a novel Natural Language Interface to Database (NLIDB). The developed prototype is called Aneesah the NLIDB, which is capable of allowing users to interactively/conversely access desired information Cited by 1 Related articles

Investigating PRECISE: Implementing a portable natural language interface to databases N Everling – 2015 – diva-portal.org Abstract A natural language interface to a database (NLIDB) lets a user query a database using a natural language. PRECISE (Popescu et al., 2003) is a formal model for a portable SQL NLIDB which interprets a question by pairing sentence tokens to database attributes Related articles

Semantic representations for knowledge modeling of a Natural Language Interface to Databases using ontologies JJ González, R Florencia, HJ Fraire… – International …, 2015 – search.proquest.com Abstract Despite the large number of Natural Language Interfaces to Databases (NLIDB) that have been implemented, they do not guarantee to provide a correct response in 100% of the queries. In this paper, we present a way of semantically modeling the elements that Related articles All 6 versions

A Survey: Natural Language Interface to Databases J Patel, J Dave – pdfs.semanticscholar.org Abstract-Information plays an important role in our everyday life and databases are widely used for storing and retrieving information. Database technology is having major impact in the world of computing. To access the information from database one need to have

Natural Language (English) To MongoDB Interface MD Gadekar, BM Jadhav, AS Shaikh… – International Journal of …, 2015 – ijarcet.org … India, Mobile No +919764383487 NLDBI system. Consequently we discuss the overall system architecture of the natural language database interfaces, some implementation details and experimental results. A.Word Pair Mining … Cited by 1 Related articles

Top-K Ranking Documents Extraction Using Semantic Annotation Interface K Abhinay, IK Pradeep – pdfs.semanticscholar.org … documents extraction with some other query interfaces environment techniques. VII.REFERENCES [1]. Harjit Singh, “Providing Inferential Capability to Natural Language Database Interface”, IJECSE, Vol.1, N0.3, pp. 1634 – 1639, 2012. [2]. Mrs. Neelu Nihalani, Dr. Sanjay …

Do we need Operating Systems for Living Well in the Digital Age-or a more human worldview? D Wilcox – 2015 – mediablends.com … Living Labs. The Labs will be local pilots in which we’ll experiment with methods like persona-based workshops, social network and asset mapping, crowdsourcing ideas and a natural language database of how-to stories. The …

A Survey of Natural Language Query Builder Interface to Database KD Deepshikha – International Journal, 2015 – pdfs.semanticscholar.org … So a system is to be improved which make the user to access the database using their native language. This paper is an introduction to the natural language interface to databases (NLIDBS) and merits and demerits of NLIDB. …

Analysis of Some Database Schemas Used to Evaluate Natural Language Interfaces to Databases R Florencia-Juárez, ML Morales-Rodríguez – Design of Intelligent …, 2015 – Springer … Most research work about the development of Natural Language Interface to Databases (NLIDB) has been focused on the study of the interpretation and translation from natural language queries to SQL queries. … Natural language interface to databases Database schema. … Related articles All 2 versions

Portquis: A Portable Natural Language Query Interface QA Al-Radaideh, AR Hamdan, MP Hamzah… – researchgate.net … July 1978. [4] SJ Kaplan, “Designing A Portable Natural Language Database Query System”. ACM Transactions on Database Systems. … [5] M. Bates, MG Moser and D. Stallard, . “The IRUS Transportable Natural Language Database Interface”, Expert Database System, pp. … Related articles

A Rule Based Graphical User Interface to Relational Database using NLP AR Sontakke, A Pimpalkar – interaction – ijser.in … 327–330. [12] Rangel, Rodolfo and Joaquín Pérez, O. and Juan Javier González, B. and Gelbukh, Alexander and Sidorov, Grigori and Rodríguez, M.(2005), “A Domain Independent Natural Language Interface to Databases Capable of Processing Complex Queries”,MICAI 2005 … Cited by 1

An end-to-end conversational second-screen application for TV program discovery PZ Yeh, D Ramachandran, B Douglas… – AI …, 2015 – go.galegroup.com … (3) A large-scale commonsense knowledge-base (1) that serves as the target output of linguistic processing and supports SQL query generation. (4) Techniques from natural language interface to databases (NLIDB) (Popescu, Etzioni, and Kautz 2003) to transform the output of … Cited by 2 Related articles All 4 versions

A survey on question answering systems with classification A Mishra, SK Jain – Journal of King Saud University-Computer and …, 2015 – Elsevier … area. The rest of of this paper is organized as follows: section 2 presents related work on QASs beginning from early days of research in the form Natural Language Interface to Databases (NLIDB) to open domain QASs over text. … Cited by 3 Related articles

A dialogue system for telugu, a resource-poor language MC Sravanthi, K Prathyusha, R Mamidi – International Conference on …, 2015 – Springer … responses. These templates are used to perform other tasks. [2] Pro- posed an approach to build natural language interface to databases (NLIDB) using semantic frames based on Computational Paninian Grammar. Context … Cited by 3 Related articles All 2 versions

Handbook Of Natural Language Processing And Machine Translation Pdf MT Pdf – pdfs.semanticscholar.org … Mark D. Handbook of Natural Language Processing and Machine Translation, Joseph Olive. Processing (NLP) emerged and Natural Language Interface to Databases KEYWORDS: Machine Translation, Semantic, Pattern, Query, Lexical, Linguistic. …

An Annotation Scheme for English Language using Paninian Framework AJ Amita – ijiset.com … Second, to build technological advance intelligent computer system such as natural language interface to databases, speech recognition systems, computer aided design systems, text analysis, understanding system, man-machine interfaces, machine translation systems, and … Cited by 1 Related articles

Ideas on how the Centre for Ageing Better can start to engage with digital technology D Wilcox – 2015 – mediablends.com … Solicit and publish real stories from the field on what’s working, as a taster of later systems that might be set up – for example a natural language database like Care’N’Share or something like FabNHSStuff. Invite further ideas using a simple online system like Uservoice. …

Big Data and Big Data Analytics for Holistic Enterprise Development B Akhgar – isconference.ir … Page 13. Big Data Analytics • Crowdsourcing -Use of collective human effort to provide analysis • Text Analytics -Machine translation of text -Natural Language Database Queries Page 14. Big Data Analytics • Sentiment Analysis -Combination of natural language processing, text … Related articles All 2 versions

Advances in Artificial Intelligence WS Expertensysteme – pdfs.semanticscholar.org … 237 Alan Fedoruk and Ralph Deters Page 4. Table of Contents XI Natural Language An Efficient Compositional Semantics for Natural-Language Database Queries with Arbitrarily-Nested Quantification and Negation . . . . . …

A User-Friendly Query Interface Based on Best Position Algorithm for Distributed Databases C Ugwu, M Abuh – 2015 – researchgate.net … query, rather just at the click of a mouse button. Keywords: User-Friendly Query Interface (UQI), Natural Language Interface to Databases, Best Position Algorithm (BPA). African Journal of Computing & ICT Reference Format: C … Related articles All 2 versions

Automated Knowledge Provider System with Natural Language Query Processing P Mukherjee, B Chakraborty – IETE Technical Review, 2015 – Taylor & Francis … 873–82. View all references]. Karande and Patil developed their system called natural language database interface (NLDBI) as in [1111. ND Karande, and GA Patil, “Natural language database interface for selection of data using grammar and parsing,” World Acad. Sci., Eng. … Related articles

A Domain and Language Construct based Mapping to Convert Natural Language Query to SQL A Malik, R Rishi – International Journal of Computer …, 2015 – search.proquest.com … Natural language database systems make use of syntactic knowledge and knowledge about the actual database in order to properly relate natural … [15] ZSZAAAISE-F. Faraj A. EI-Mouadib, Gneric Interactive Natural Language Interface to Databases (GINLIDB), International … Related articles All 5 versions

An Arabic Natural Language Interface System for a Database of the Holy Quran KN ElSayed – Citeseer … Its name is Generic Interactive Natural Language Interface to Databases (GINLIDB). … [3] M. Tyagi, ” Natural Language Interface to Databases: A Survey”, International Journal of Science and Research (IJSR), Volume 3 Issue 5, pp. 1443-1445, May, 2014. … Related articles All 2 versions

Computer supported formal concept analysis to explore the evolution of patent litigation AJC Trappey, LWL Chen… – … Cooperative Work in …, 2015 – ieeexplore.ieee.org … Fig. I. An example of a concept lattice. B. Text mining K6 X X Text mining is referred to as a type of data mining used for knowledge-based data analysis. Text mining derives previously unknown and potentially useful information from a natural language database. … Cited by 2 Related articles

Where’s best to evolve ideas on tech for Living Well-a hub or a network? D Wilcox – 2015 – mediablends.com … Integrate any online activity with face-to-face meetings and other methods in a consultation plan.5. Solicit and publish real stories from the field on what’s working, as a taster of later systems that might be set up – for example a natural language database like [Care’N’Share](http …

Meta–Contents of Design Creativity: Extraction of the Key Concepts that Form the Sense of Design Y Nagai, DW Junaidy – … of The Third …, 2015 – denywilly.staff.telkomuniversity.ac.id … design. The evaluation items had three categories: preference, given conformability, and sense of excitement or fun. Verbalized protocols (discourses) were analyzed using a concept dictionary and natural language database. To … Cited by 2 Related articles All 6 versions

Natural language to SQL generation for semantic knowledge extraction in social web sources KJ Sathick, A Jaya – Indian Journal of Science and Technology, 2015 – search.proquest.com … ND Karande, and GA Patil describes about14 “Natural Language Database Interface for Selection of Data Using Grammar and Parsing”, the authors proposed the NLDBI system considers selection of data and performing primitive queries onto database and join operation with … Cited by 8 Related articles All 8 versions

An Exhaustive Study on NLIDB Systems and their Challenges N Sangeeth, R Rejimoan – ijcaer.com … The result obtained from database is send to the response generator which then provides the result set to the users. Generic Interactive Natural Language Interface to Databases (GINLIDB) [4] consists of linguistic handling and SQL construction components. … Cited by 1 Related articles All 2 versions

Improved question answering system Using semantic search and indexing S Kalaivani – 2015 – shodhganga.inflibnet.ac.in … NE – Named entity NER – Named entity recognition NL – Natural language NLIDB – Natural language interface to databases QUERIX – Natural language interface to query ontologies based on clarification dialogs NLP – Natural language processing … All 2 versions

Natural language interface to database using modified co-occurrence matrix technique A Mohite, V Bhojane – Pervasive Computing (ICPC), 2015 …, 2015 – ieeexplore.ieee.org … necessary. REFERENCES [1] I. Androutsopoulos, GD Richie, P. Thanisch “Natural Language Interface to Databases – An Introduction”. Journal of Natural Language Engineering, Cambridge University Press. 1(1), 1995, pp 29-81. … Related articles

Management of the Metadata Pool of University Archive F Yang, L Shen – Advances in Education Sciences Volume 10 – researchgate.net … ACM Transactions on Information Systems, 14 (4), 421–470, 1996. [4] Boonjing, V. & Hsu, C., A New Feasible Natural Language Database Query Method. International Journal on Artificial Intelligence Tools, 20 (10), pp. 1–8, 2006. …

Computer Applications in Information Retrieval and Writing for Technology Transfer W Leigh, M Berry – Computers and Computer Applications in …, 2015 – books.google.com … A desirable attribute of natural language database question- answering systems is “cooperativeness’.” This term denotes the be- haviour which answers the query “How many articles are about alternative energy sources?” not with “5” but with “There are only 5, but this database … Related articles

Classification of Attributes in a Natural Language Query into Different SQL Clauses A Palakurthi, R SM, AR Akula, R Mamidi – RECENT ADVANCES IN – aclweb.org … Faraj A. El-Mouadib, Zakaria Suliman Zubi, Ahmed A. Almagrous, I. El-Feghi 2009. Generic interactive natural language interface to databases (GINLIDB). … Xiaofeng Meng and Shan Wang. 2001 Nchiql: The chinese natural language interface to databases. … Related articles All 9 versions

An intelligent system for information extraction from relational database using HMM N Sangeeth, R Rejimoan – Soft Computing Techniques and …, 2015 – ieeexplore.ieee.org … Cambridge, Massachusetts Final Report. BBN Report No 2378, 1972. [5] Faraj A. EI-Mouadib, Zakaria S. Zubi, AhmedA. Almagrous, Irdess S. and El- Feghi “Generic Interactive Natural Language Interface to Databases (GINLIDB)”, international journal of computers 2009. …

Accommodating Complex Chained Prepositional Phrases in Natural Language Query Interface to an Event-Based Triplestore E Emami – 2015 – scholar.uwindsor.ca Page 1. University of Windsor Scholarship at UWindsor Electronic Theses and Dissertations 2015 Accommodating Complex Chained Prepositional Phrases in Natural Language Query Interface to an Event-Based Triplestore Elham Emami University of Windsor … Related articles

TiQi: answering unstructured natural language trace queries P Pruski, S Lohar, W Goss, A Rasin… – Requirements …, 2015 – Springer Cited by 2 Related articles All 3 versions

Translating database queries to English for enhancing database education WJ Holton – 2015 – smartech.gatech.edu … In particular, it addresses a problem central to this task: how to automatically translate database queries into natural language descriptions, which from this point on will be interchangably refered to as paraphrasing database queries. … Related articles

Identification of relations from IndoWordNet for Indian languages using Support Vector Machine M Garg, B Sinha, S Chandra – 2015 International Conference …, 2015 – ieeexplore.ieee.org … Precision, recall and F-score depict the performance of our experiment. Although, IndoWordNet database is a small database in comparison to other web based engine database, eventually this limits us to utilize the full resource benefit of such a rich natural language database. … Cited by 1 Related articles

Potential impact of certain inappropriate experimental design procedures in information systems research C Loucopoulos, R Pavur – 2015 – ijcim.th.org … 243-261. 15. Sub, KS and Jenkins, AM, 1992, “A Page 9. Comparison of Linear Keyword and Restricted Natural Language Data Base Interfaces for Novice Users”, @ Information Systems Research, 3, 3, 252-272. “The Problem … Related articles All 2 versions

Natural Language Access to Data: It Takes Common Sense! C Condoravdi, K Richardson, V Sikka… – 2015 AAAI Spring …, 2015 – researchgate.net … is Swiss. Other Capabilities In this section we show other ways in which reasoning is essential for natural language database access. disambiguating queries: The query sequence Get a client with a debt. It should be high will yield companies with high debts. … Related articles All 3 versions

A Natural Language Query Builder Interface for Structured Databases Using Dependency Parsing R Kokare, K Wanjale – IJMSC-International Journal of Mathematical …, 2015 – mecs-press.org … 0975 – 8887),Vol 82, No5, November 2013. [10] Ashish Kumar, Kunwar Singh, “Natural Language Interface to Databases: Development Techniques”, Elixir International Journal, 2013. [11] Martins, M. Almeida, and NA Smith … Related articles

Question Processing for Arabic Question Answering System HM Al Chalabi – 2015 – bspace.buid.ac.ae … propose themselves within a dialog with the user. Early on, in the 1970s, the famous area for QA that engrossed researchers to submit their applications was natural language database and front-ends. QA in human-machine … Related articles

A Novel Approach Towards Building a Generic, Portable and Contextual NLIDB System AR Akula – 2015 – web2py.iiit.ac.in Page 1. A Novel Approach Towards Building a Generic, Portable and Contextual NLIDB System Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science (by Research) in Computer Science and Engineering by Arjun Reddy Akula 200802002 … Cited by 1 Related articles

L2S: Transforming Natural Language Questions into SQL Queries DT Hoang, M Le Nguyen… – Knowledge and Systems …, 2015 – ieeexplore.ieee.org Page 1. L2S: Transforming natural language questions into SQL queries Duc Tam Hoang Faculty of Information Technology, VNU University of Engineering and Technology, Vietnam National University, Hanoi tamhd1990@gmail.com … Related articles

Towards benevolent sales assistants in retailing scenarios S Janzen, W Maass – International Conference on Applications of Natural …, 2015 – Springer … 66(1), 55–72 (2002)CrossRef. 40. Suchman, LA: Plans and Situated Actions. Cambridge University Press, New York (1987). 41. Suh, KS, Milton Jenkins, A.: A comparison of linear keyword and restricted natural language data base interfaces for novice users. Inform. Syst. Res. … Cited by 1 Related articles

Angle And Context Free Grammar (Acfg) Based Precarious Node Detection And Secure Data Transmission In Manets A VEERASAMY, SRAO MADANE – downloads.hindawi.com Page 1. ANGLE AND CONTEXT FREE GRAMMAR (ACFG) BASED PRECARIOUS NODE DETECTION AND SECURE DATA TRANSMISSION IN MANETS ANITHA VEERASAMY1, SRINIVASA RAO MADANE2 1Research scholar … Related articles

Organic databases HV Jagadish, L Qian, A Nandi – International Journal of …, 2015 – inderscienceonline.com Page 1. 270 Int. J. Computational Science and Engineering, Vol. 11, No. 3, 2015 Copyright © 2015 Inderscience Enterprises Ltd. Organic databases HV Jagadish* Department of Electrical Engineering and Computer Science … Related articles All 5 versions

Temporal logic extension for self-referring, nonexistence, multiple recurrence, and anterior past events ?E ?EKER – Turkish Journal of Electrical Engineering & …, 2015 – journals.tubitak.gov.tr Page 1. Turk J Elec Eng & Comp Sci (2015) 23: 212 – 230 c? TÜB?ITAK doi:10.3906/elk-1208-93 Turkish Journal of Electrical Engineering & Computer Sciences http://journals.tubitak.gov.tr/elektrik/ Research Article Temporal … Cited by 7 Related articles All 7 versions

Learning to Understand Natural Language with Less Human Effort J Krishnamurthy – 2015 – DTIC Document … 9 Page 22. parsing temporal expressions (Lee et al., 2014). For concreteness, this chapter focuses on an imaginary natural language database query application, with input/output of the following form: • Input (language): “what cities are in Texas?” … Related articles All 11 versions

A Bibliography of Publications in International Journal of Computer Processing of Oriental Languages and International Journal of Computer Processing of … NHF Beebe – 2015 – ctan.math.utah.edu Page 1. A Bibliography of Publications in International Journal of Computer Processing of Oriental Languages and International Journal of Computer Processing of Languages Nelson HF Beebe University of Utah Department … All 10 versions

An authoring tool for decision support systems in context questions of ecological knowledge A Ferrández, J Peral, E De Gregorio, J Trujillo… – Ecological …, 2015 – Elsevier Decision support systems (DSS) support business or organizational decision-making activities, which require the access to information that is internally stored. Related articles All 4 versions

Mining latent entity structures C Wang, J Han – Synthesis Lectures on Data Mining and …, 2015 – morganclaypool.com Page 1. Mining Latent Entity Structures Chi Wang Jiawei Han W ANG • HAN M IN IN G L A TE NT E NTIT Y S TR U C TU R E S MO R GAN & CL A YPOO L Jiawei Han, Lise Getoor, Wei Wang, Johannes Gehrke, Robert Grossman, Series Editors … Cited by 2 Related articles All 5 versions

[BOOK] A Descriptive Study of Bengali Words NS Dash – 2015 – books.google.com Page 1. A Descriptive Study of Bengali Words Niladri Sekhar Dash Page 2. A Descriptive Study of Bengali Words Niladri Sekhar Dash # CAMBRIDGE # UNIVERSITY PREss Page 3. CAMBRIDGE UNIVERSITY PRESS Cambridge … Cited by 3 Related articles All 2 versions

Ripple Down Rules for Question Answering S Web – pdfs.semanticscholar.org Page 1. Semantic Web 0 (2015) 1–0 1 IOS Press Ripple Down Rules for Question Answering Editor(s): Christina Unger, Bielefeld University, Germany; Axel-Cyrille Ngonga Ngomo, University of Leipzig, Germany; Philipp Cimiano …