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An Empirical Study of Effective and Versatile Keyword Query Search

Tejashree R. Shinde, Prof. Sanchika A. Bajpai
2015 International Journal of Engineering Research and  
In this information searching is done with the help of keyword which is known as query keyword and searching is called as keyword searching.  ...  A huge amount of research work focusing on the keyword searching, retrieval and query processing has been done in the relational database.  ...  field and all my colleagues for providing help and support in my work.  ... 
doi:10.17577/ijertv4is050573 fatcat:ogylhz7p6rh7blto7nszeatjuu

Duplication Free Minimal Keyword Search in Graph using Top-K Algorithm

Miss. Payal P. Thakur, Prof. Borkar N. R.
2017 IJARCCE  
Keyword search over a graph searches for a subgraph that contains a set of query keywords.  ...  By reducing the number of sub-trees to be explored in the graph significantly, the search methods based on the distinct root semantics can process keyword queries over a large volume of data more efficiently  ...  Due to the fact that many types of data can be represented by graphs, keyword search over graphs has received much attention in recent years.  ... 
doi:10.17148/ijarcce.2017.6525 fatcat:4rqebebx4fdodlmv26oa5qze5q

Efficient Schema Based Keyword Search in Relational Databases

Myint Myint Thein
2012 International Journal of Computer Science Engineering and Information Technology  
Keyword search in relational databases allows user to search information without knowing database schema and using structural query language (SQL).  ...  The performance evaluation of the proposed algorithms is conducted on IMDB and DBLP datasets and also compared with existing algorithms.  ...  In candidate network generation p, it generates a set of CNs over schema graph G s . The set of CNs shall be sound or complete free upon the maximal size.  ... 
doi:10.5121/ijcseit.2012.2602 fatcat:5evbdh6hobfg7klqtqmq5zebky

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

Soumen Chakrabarti
2004 Lecture Notes in Computer Science  
Toward More Expressive Search Search systems for unstructured textual data have improved enormously since the days of boolean queries over title and abstract catalogs in libraries.  ...  Databases and XML: To be sure, the large gap between the user's information need and the expressed query is well-known.  ...  Free-form keyword search in ER graphs raises many interesting issues, including the query language, the definition of a "document" in response to a query, how to score a document which may be distributed  ... 
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  
Toward More Expressive Search Search systems for unstructured textual data have improved enormously since the days of boolean queries over title and abstract catalogs in libraries.  ...  Databases and XML: To be sure, the large gap between the user's information need and the expressed query is well-known.  ...  Free-form keyword search in ER graphs raises many interesting issues, including the query language, the definition of a "document" in response to a query, how to score a document which may be distributed  ... 
doi:10.1007/978-3-540-30115-8_3 fatcat:5skzgqkx3zdarbkszlhsndvu4a

Graph-driven Exploration of Relational Databases for Efficient Keyword Search

Roberto De Virgilio, Antonio Maccioni, Riccardo Torlone
2014 International Conference on Extending Database Technology  
The approaches to keyword search over relational data usually rely on a two-step strategy in which, first, tree-shaped answers are built by connecting tuples matching the given keywords and, then, potential  ...  Keyword-based search is becoming the standard way to access any kind of information and it is considered today an important add-on of relational database management systems.  ...  CNs must be complete (i.e., involving all the keywords in the query) and duplicate-free. Duplicate elimination relies on graph isomorphisms, which requires a high computational cost.  ... 
dblp:conf/edbt/VirgilioMT14 fatcat:7kjukzgqqremlopdmts57haqga

Graph-based keyword search in heterogeneous data sources [article]

Mhd Yamen Haddad
2021 arXiv   pre-print
We model our underlying data as graphs and, given a set of search terms, our algorithm nds links between them within and across the heterogeneous datasets included in the graph.  ...  We draw inspiration from prior work on keyword search in structured and unstructured data, which we extend with the data heterogeneity dimension, which makes the keyword search problem computationally  ...  Acknowledgements The authors would like to thank: Helena Galhardas and Julien Leblay who contributed to previous versions on this work [5, 7] and Tayeb Merabti for his support in the development and  ... 
arXiv:2009.04283v2 fatcat:vgxcfnpqurdkja25f6bxsudyee

Efficient XML Keyword Search: From Graph Model to Tree Model [chapter]

Yong Zeng, Zhifeng Bao, Tok Wang Ling, Guoliang Li
2013 Lecture Notes in Computer Science  
Keyword search, as opposed to traditional structured query, has been becoming more and more popular on querying XML data in recent years.  ...  A nature question is whether we need to abandon the efficient XML tree search methods and invent new, but less efficient search methods for XML graph.  ...  Users are free from learning the query language and XML schema by simply using some keywords to query the XML data. It attracts a lot of research efforts recently [9, 7, 13, 14, 2] .  ... 
doi:10.1007/978-3-642-40285-2_5 fatcat:gsrzysm5jbfmxakksj234uuul4

Enabling an Enterprise Data Management Ecosystem using Change Data Capture with Amazon Neptune

Bradley R. Bebee, Rahul Chander, Ankit Gupta, Ankesh Khandelwal, Sainath Mallidi, Michael Schmidt, Ronak Sharda, Bryan B. Thompson, Prashant Upadhyay
2019 International Semantic Web Conference  
On top of this stack, we demonstrate Neptune's approach to integrated querying across the data graph and the keyword search cluster.  ...  database into a backing Elasticsearch search index, in order to provide efficient full-text search over the graph data.  ...  Discuss and demonstrate Neptune's CDC mechanism for synchronization between graph and keyword search systems.  ... 
dblp:conf/semweb/BebeeCGKM0STU19 fatcat:2ck5jtwzizbdxfo22ue54xo2xe

Search and Navigation in Relational Databases [article]

Richard Wheeldon, Mark Levene, Kevin Keenoy
2003 arXiv   pre-print
We present a new application for keyword search within relational databases, which uses a novel algorithm to solve the join discovery problem by finding Memex-like trails through the graph of foreign key  ...  We present examples using the DBLP data set.  ...  Concluding Remarks We have presented DbSurfer -a system for keyword search and navigation through relational databases.  ... 
arXiv:cs/0307073v1 fatcat:473pqpk5rnez3d4ewpcdlzlyrq

Keyword Search over RDF: Is a Single Perspective Enough?

Christos Nikas, Giorgos Kadilierakis, Pavlos Fafalios, Yannis Tzitzikas
2020 Big Data and Cognitive Computing  
used keyword-based search paradigm.  ...  They key finding of the task-based evaluation is that users not familiar with RDF (a) managed to complete the information-seeking tasks (with performance very close to that of the experienced users), and  ...  Acknowledgments: We thank all participants of the user study for dedicating time on the evaluation and providing valuable feedback.  ... 
doi:10.3390/bdcc4030022 fatcat:vs65iimfvrhfvmxe7myik4lhye

Data-based research at IIT Bombay

Soumen Chakrabarti, Ganesh Ramakrishnan, Krithi Ramamritham, Sunita Sarawagi, S. Sudarshan
2013 SIGMOD record  
It provided us an exciting platform to carry out research on large-scale information extraction and integration while grappling with the noise and redundancy that is so prevelant over Web data.  ...  For more information about the group, please visit: http://www.cse.iitb.ac.in/infolab RANKING IN GRAPH DATA MODELS Graph data models are ubiquitous in semistructured search.  ... 
doi:10.1145/2481528.2481536 fatcat:uqtzjzpnbfaj5fzhabliyvybu4

Entity-Centric Search for Enterprise Services [chapter]

Marcus Roy, Ingo Weber, Boualem Benatallah
2013 Lecture Notes in Computer Science  
Motivated by the search behavior of users, we propose an iterative keyword search based on entities. The entities are part of a knowledge base, whose content stems from model-driven engineering.  ...  However, building an effective search has been a challenge: Information Retrieval (IR) methods struggle with the brevity of text in API descriptions, whereas semantic search technologies require domain  ...  In order to make this information usable for an entity ranking, we first abstract meta-data models and data models into type graphs and entity graphs; with entities referring to data objects and types  ... 
doi:10.1007/978-3-642-45005-1_28 fatcat:4xx6zc6vjrbnnodiepicqtq4q4

WikiAnalytics

Andrey Balmin, Emiran Curtmola
2010 Procceedings of the 13th International Workshop on the Web and Databases - WebDB '10  
The user starts with a keyword search query that finds a superset of the result records, and then browses clusters of records deciding which are and are not relevant.  ...  To address these limitations, we propose a system, referred to herein as WIKIANALYTICS, that utilizes a novel search paradigm in order to derive tables of precise and complete results from Wikipedia infobox  ...  Although most of Wikipedia is free text, it also contains a large amount of structured information in tables, lists, categories, and infoboxes.  ... 
doi:10.1145/1859127.1859134 dblp:conf/webdb/BalminC10 fatcat:i2wcpnittrbslb224h6soz2mcy

Flexible Query Answering over Graph-modeled Data

Antonio Maccioni
2015 Proceedings of the 2015 ACM SIGMOD on PhD Symposium - SIGMOD '15 PhD Symposium  
The lack of familiarity that users have with information systems has led to different flexible methods to access data (keyword search, faceted search, similarity search, etc.).  ...  We consider structured and semi-structured sources that can be modeled through graph databases.  ...  EASE [15] computes keyword search over indexed and graph-modeled semi-structured, structured and unstructured data source.  ... 
doi:10.1145/2744680.2744686 dblp:conf/sigmod/Maccioni15 fatcat:2kaz5umrqrhexohcoi5cu46u6m
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