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Towards heterogeneous keyword search

Proceedings of the ACM Turing 50th Celebration Conference - China, 2017
Keyword search is a widely popular mechanism for query processing that alleviates users from understanding complex data structures and learning query languages. Existing keyword search systems are designed and tuned for one specific data model. In big data era, data is usually resident in heterogeneous data sources including unstructured data, semi ...
Chunbin Lin   +2 more
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Keyword Search on Spatial Databases

2008 IEEE 24th International Conference on Data Engineering, 2008
Many applications require finding objects closest to a specified location that contains a set of keywords. For example, online yellow pages allow users to specify an address and a set of keywords. In return, the user obtains a list of businesses whose description contains these keywords, ordered by their distance from the specified address.
Ian De Felipe   +2 more
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A Survey on XML Keyword Search

2011
Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web and much work has been done in this domain. Specifically, With the increasing application of XML in web, the study on XML keyword search has been gaining growing attention of the researchers.
Zongqi Tian, Jiaheng Lu, Deying Li 0001
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Geo-Social Keyword Search

2015
In this paper, we propose Geo-Social Keyword (GSK) search, which enables the retrieval of users, points of interest (POIs), or keywords that satisfy geographic, social, and/or textual criteria. We first introduce a general GSK framework that covers a wide range of real-world tasks, including advertisement, context-based search, and market analysis ...
Ritesh Ahuja   +3 more
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Keyword-Centric Community Search

2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019
Community search that finds only the communities pertaining to the query input has been widely studied from simple graphs to attributed graphs. However, a significant limitation of previous studies is that they all require the input of query nodes, which makes it difficult for users to specify exact queries if they are unfamiliar with the queried graph.
Zhiwei Zhang 0002   +4 more
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Keyword search in relational databases

Knowledge and Information Systems, 2010
This paper surveys research on enabling keyword search in relational databases. We present fundamental characteristics and discuss research dimensions, including data representation, ranking, efficient processing, query representation, and result presentation.
Jaehui Park, Sang-goo Lee
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Score normalization for keyword search

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
In this work, keyword search (KWS) is based on a symbolic index that uses posteriorgram representation of the speech data. For each query, sum-to-one normalization or keyword specific thresholding is applied to the search results. The effect of these methods on the proposed KWS system is investigated.
Leda Sari, Murat Saraclar
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Peer-to-peer keyword search using keyword relationship

CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings., 2003
Decentralized and unstructured peer-to-peer (P2P) networks such as Gnutella are attractive for Internet-scale information retrieval and search systems because they require neither any centralized directory nor any centralized management of overlay network topology and data placement.
Kiyohide Nakauchi   +3 more
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Using proxies for OOV keywords in the keyword search task

2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013
We propose a simple but effective weighted finite state transducer (WFST) based framework for handling out-of-vocabulary (OOV) keywords in a speech search task. State-of-the-art large vocabulary continuous speech recognition (LVCSR) and keyword search (KWS) systems are developed for conversational telephone speech in Tagalog. Word-based and phone-based
Guoguo Chen   +4 more
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Fast multiple keyword searching

1992
A new multiple keyword searching algorithm is presented as a generalization of a fast substring matching algorithm based on an n-gram technique. The expected searching time complexity is shown to be O((N/m+ml) log lm) under reasonable assumptions about the keywords together with the assumption that the text is drawn from a stationary ergodic source ...
Jong Yong Kim, John Shawe-Taylor
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