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Towards heterogeneous keyword search
Proceedings of the ACM Turing 50th Celebration Conference - China, 2017Keyword 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, Jianguo Wang, Chuitian Rong
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IEEE Transactions on Knowledge and Data Engineering, 2015
It is common that the objects in a spatial database (e.g., restaurants/hotels) are associated with keyword(s) to indicate their businesses/services/features. An interesting problem known as Closest Keywords search is to query objects, called keyword cover, which together cover a set of query keywords and have the minimum inter-objects distance.
Deng, Ke +3 more
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It is common that the objects in a spatial database (e.g., restaurants/hotels) are associated with keyword(s) to indicate their businesses/services/features. An interesting problem known as Closest Keywords search is to query objects, called keyword cover, which together cover a set of query keywords and have the minimum inter-objects distance.
Deng, Ke +3 more
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Fast multiple keyword searching
1992A 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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Web Search Using Dynamic Keyword Suggestion
International Journal of Computers and Applications, 2007Web search has become an essential task for most people. As the Web grows rapidly, effective searches have grown increasingly important. Most of us, however, have experienced frustration in trying to search for something on the Web. In existing keyword-based Web search, the user has to come up with keywords for a query, and a search engine passively ...
Y. Park, B.S. Kim
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2001
The World Wide Web (WWW), also known as the Web, was introduced in 1992 at the Center for European Nuclear Research (CERN) in Switzerland [28]. What began as a means of facilitating data sharing in different formats among physicists at CERN is today a mammoth, heterogeneous, non-administered, distributed, global information system that is ...
George Chang +3 more
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The World Wide Web (WWW), also known as the Web, was introduced in 1992 at the Center for European Nuclear Research (CERN) in Switzerland [28]. What began as a means of facilitating data sharing in different formats among physicists at CERN is today a mammoth, heterogeneous, non-administered, distributed, global information system that is ...
George Chang +3 more
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Oblivious Conjunctive Keyword Search
2006We study the problem of keyword search in which a server contains various multimedia contents and a user of server wishes to retrieve some multimedia item containing specific keywords without revealing to the server which item it is. Recently, Ogata and Kurosawa introduced an interesting keyword search scheme called oblivious keyword search by using ...
Hyun Sook Rhee +3 more
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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., 2003Decentralized 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.
K. Nakauchi +3 more
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Keyword based searching in social networks
2016 SAI Computing Conference (SAI), 2016The main purpose of analyzing the social network data is to observe the behaviors and trends that are followed by people. How people interact with each other, what they usually share, what are their interests on social networks, so that analysts can focus on new trends for the provision of those aspects which are of great interest for people so in this
Khurram Mahmood +3 more
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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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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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2016
In this thesis, 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 ...
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In this thesis, 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 ...
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