Expressive query specification through form customization

Jayapandian, Magesh; Jagadish, H. V.

doi:10.1145/1352431.1352483

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…The assumption of this project is a large number of structured data is completely hidden in unstructured data and to get the targeted information from the document, they use automated information extraction algorithms and fact is that only documents that actually contain the related information and there exist a false positive when documents what the user want to process which do not contain the targeted information when they use information extraction algorithms which is automatic to extract such fields, which may affect the quality of the data. M. Jayapandian and H. Jagadish [3] they defined how to generate the good set of forms by using the automated technique and to maximize the ability, whenever user ask the queries for forms-based interface has to bound both the number of forms generated and the difficulty of any one of the form.…”

Section: Literature Surveymentioning

confidence: 99%

Hybrid Approach for Annotating Unstructured Document

J¹,

Ravikumar²

2015

IJCA

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Annotation is a process of adding the information into the Document which is useful for extracting the information. A large number of organizations now days generate a large amount of data which is always present in the textual format. But such collections of textual document which contains a large amount of structured information which is completely hidden in the unstructured information. Information extraction algorithm is too costly because it always works on the top of the text and it does not provide the necessary structured information. In our paper, we present a method to generate the structured attribute by identifying the documents which contain the information of interest and this information in future useful for querying the database. The major contribution of this paper, we propose the algorithm, where it identifies the structured attribute which is present in the document by combining both the query workload and the content of the text document. Our Experiment result shows that our technique gives the better results compared to the methods which only relay on the content of the document and only on the query workload.

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Section: Literature Surveymentioning

confidence: 99%

Hybrid Approach for Annotating Unstructured Document

J¹,

Ravikumar²

2015

IJCA

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“…Existing database clients and tools make great efforts to help developers design and generate the query forms [2].They provide visual interfaces for developers to create or customize query forms. This system allows end-users to customize the existing query form at runtime.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Query Processing and Optimization in Relational Complex Databases with Keyword Search

Raj¹,

Haroon²

2014

IOSRJCE

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Dynamic queries are a novel approach to information seeking that may enable users to cope with information overload. They allow users to see an overview of the database, rapidly explore and conveniently filter out unwanted information. Users fly through information spaces by incrementally adjusting a query while continuously viewing the changing results. The main drawback of a form-based query interface is that it is restrictive. Modern scientific databases and web databases maintain large and heterogeneous data. These realworld databases contain over hundreds or even thousands of relations and attributes. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users on those databases. So a Dynamic Query Form (DQF) system was proposed. Dynamic queries interfaces suggest that they offer a dramatic change from existing methods for querying databases. DQF, a query interface which is capable of dynamically generating query forms for users. Different from traditional document retrieval users in database retrieval are capable of performing different round of actions iteratively by filling in forms and retrieving results based on users desire and conditions at run time. Each iteration consists of two types of user interactions: Query Form Endowment and Query Execution. In Query Form Endowment DQF recommends the user selects the desired form components into the current query form and the form components selected by the user will be in ranked order. In Query Execution the user fills out the current query form and submits a query, DQF executes the query and shows the results and the user provides the feedback about the query results. F-measure value can be used for measuring the goodness of a query form. A comparison between the Customized query form and Dynamic query form can be generated. As an enhancement, the database querying can be formalized by combining the keyword search and forms. Here at query time, a user with a question to be answered issues standard keyword search queries; but instead of returning tuples, the system returns forms relevant to the question. This paper lacks the addressing of multi-criteria decision making. So skyline query concept is used for satisfying the multi-criteria decision making.

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“…Other techniques such as query autocompletion [16] assist users to form structured queries by suggesting possible structures or terms based on the already entered user's sub-query. Forms are the most typical interface used to query information in a database through a pre-defined template, which can be optionally modified [12]. FreeQ offers similar expressivity as the interfaces mentioned above, but with much more flexibility.…”

Section: Related Workmentioning

confidence: 99%

FreeQ

Demidova

Zhou

Nejdl

2012

Proceedings of the 21st International Conference on World Wide Web

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Freebase is a large-scale open-world database where users collaboratively create and structure content over an open platform. Keyword queries over Freebase are notoriously ambiguous due to the size and the complexity of the dataset. To this end, novel techniques are required to enable naive users to express their informational needs and retrieve the desired data. FreeQ offers users an interactive interface for incremental query construction over a large-scale dataset, so that the users can find desired information quickly and accurately.

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Expressive query specification through form customization

Cited by 4 publications

References 7 publications

Hybrid Approach for Annotating Unstructured Document

Hybrid Approach for Annotating Unstructured Document

Dynamic Query Processing and Optimization in Relational Complex Databases with Keyword Search

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