Results 251 to 260 of about 263,204 (290)
Some of the next articles are maybe not open access.
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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 ...
openaire +2 more sources
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 ...
openaire +2 more sources
Keyword Graph: Answering Keyword Search over Large Graphs
2012In this paper, we focus on IR style queries, keyword search, over large disk-resident graphs. Since most existing approaches cache the whole graph and indexing structure in memory, these approaches cannot be applied into large graphs, such as RDF graphs and social networks.
Dong Wang +3 more
openaire +1 more source
Personalizing Keyword Search on RDF Data
2013Despite the vast amount on works on personalizing keyword search on unstructured data (i.e. web pages), there is not much work done handling RDF data. In this paper we present our first cut approach on personalizing keyword query results on RDF data. We adopt the well known Ranking SVM approach, by training ranking functions with RDF-specific training ...
Giannopoulos G., Biliri E., Sellis T.
openaire +1 more source