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Answering Why-Not Questions on Spatial Keyword Top-k Queries

by Lei Chen, Xin Lin, Haibo Hu, Christian S. Jensen, Jianliang Xu
"... Abstract—Large volumes of geo-tagged text objects are avail-able on the web. Spatial keyword top-k queries retrieve k such objects with the best score according to a ranking function that takes into account a query location and query keywords. In this setting, users may wonder why some known object ..."
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Abstract—Large volumes of geo-tagged text objects are avail-able on the web. Spatial keyword top-k queries retrieve k such objects with the best score according to a ranking function that takes into account a query location and query keywords. In this setting, users may wonder why some known object

Collective spatial keyword querying

by Xin Cao, Gao Cong, Christian S. Jensen, Beng Chin Ooi - In SIGMOD , 2011
"... With the proliferation of geo-positioning and geo-tagging, spatial web objects that possess both a geographical location and a textual description are gaining in prevalence, and spatial keyword queries that exploit both location and textual description are gaining in prominence. However, the queries ..."
Abstract - Cited by 53 (11 self) - Add to MetaCart
, the queries studied so far generally focus on finding individual objects that each satisfy a query rather than finding groups of objects where the objects in a group collectively satisfy a query. We define the problem of retrieving a group of spatial web ob-jects such that the group’s keywords cover the query

Lightweight Spatial Conjunctive Query Answering using Keywords ⋆

by Thomas Eiter, Thomas Krennwallner, Patrik Schneider
"... Abstract. With the advent of publicly available geospatial data, ontology-based data access (OBDA) over spatial data has gained increasing interest. Spatiorelational DBMSs are used to implement geographic information systems (GIS) and are fit to manage large amounts of data and geographic objects su ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
such as points, lines, polygons, etc. In this paper, we extend the Description Logic DL-Lite with spatial objects and show how to answer spatial conjunctive queries (SCQs) over ontologies—that is, conjunctive queries with point-set topological relations such as next and within—expressed in this language

Summarizing Answer Graphs Induced by Keyword Queries

by Yinghui Wu, Shengqi Yang, Mudhakar Srivatsa, Arun Iyengar, Xifeng Yan
"... Keyword search has been popularly used to query graph data. Due to the lack of structure support, a keyword query might generate an excessive number of matches, referred to as “answer graphs”, that could include different relationships among keywords. An ignored yet important task is to group and su ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Keyword search has been popularly used to query graph data. Due to the lack of structure support, a keyword query might generate an excessive number of matches, referred to as “answer graphs”, that could include different relationships among keywords. An ignored yet important task is to group

Answering aggregate keyword queries on relational databases using minimal group-bys

by Bin Zhou, Jian Pei - In EDBT , 2009
"... Keyword search has been recently extended to relational databases to retrieve information from text-rich attributes. However, all the existing methods focus on finding individual tuples matching a set of query keywords from one table or the join of multiple tables. In this paper, we motivate a novel ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
novel problem of aggregate keyword search: finding minimal group-bys covering a set of query keywords well, which is useful in many applications. We develop two interesting approaches to tackle the problem, and further extend our methods to allow partial matches. An extensive empirical evaluation using

olog Keywords:

by Grey Relational Analysis, Grey Clustering Analysis
"... Hierarchical clustering analysis Geographical information system Medical resource Deng proposed grey clustering analysis (GCA) in 1987. Later, Jin presented a new method in 1993, called cluster refers to a group of objects that are clustered according to some rule. Clusters thus by nature have a cer ..."
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., 2004). The speed of development of GIS has been especially fast. Different definitions of GIS exist in the foreign literature. Smith, Menon, Star, and Estes (1987) defined the GIS as a database system in which most data are spatially in-dexed, and on which a set of procedures are operated to answer

Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems

by Ramaswamy Hariharan, Bijit Hore, Chen Li, Sharad Mehrotra
"... Location-based information contained in publicly available GIS databases is invaluable for many applications such as disaster response, national infrastructure protection, crime analysis, and numerous others. The information entities of such databases have both spatial and textual descriptions. Like ..."
Abstract - Cited by 46 (3 self) - Add to MetaCart
. Likewise, queries issued to the databases also contain spatial and textual components, for example, “Find shelters with emergency medical facilities in Orange County,” or “Find earthquake-prone zones in Southern California.” We refer to such queries as spatial-keyword queries or SK queries for short

Distributed Spatial Keyword Querying on Road Networks

by Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan, Zheng Yong
"... Spatial-keyword queries on road networks are receiving in-creasing attention with the prominence of location-based services. There is a growing need to handle queries on road networks in distributed environments because a large net-work is typically distributed over multiple machines and it will imp ..."
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and it will improve query throughput. However, all the existing work on spatial keyword queries is based on a centralized setting. In this paper, we develop a distributed solution to answering spatial keyword queries on road networks. Exam-ple queries include “find locations near a supermarket and a hospital

Keyword search in spatial databases: towards searching by document.

by Dongxiang Zhang , Yeow Meng Chee , Anirban Mondal , Anthony K H Tung #4 , Masaru Kitsuregawa - In ICDE, , 2009
"... Abstract-This work addresses a novel spatial keyword query called the m-closest keywords (mCK) query. Given a database of spatial objects, each tuple is associated with some descriptive information represented in the form of keywords. The mCK query aims to find the spatially closest tuples which ma ..."
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Abstract-This work addresses a novel spatial keyword query called the m-closest keywords (mCK) query. Given a database of spatial objects, each tuple is associated with some descriptive information represented in the form of keywords. The mCK query aims to find the spatially closest tuples which

Evaluation of Spatial Keyword Queries with Partial Result Support on Spatial Networks

by Ji Zhang, Wei-shinn Ku, Xiao Qin
"... Abstract—Numerous geographic information system applications need to retrieve spatial objects which bear user specified keywords close to a given location. For example, users can search for hotels in a certain city with preferred features and amenities by using hotel reservation websites. In this re ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
. In this research, we present efficient approaches to answer spatial keyword queries on spatial networks. In particular, we systematically introduce formal definitions of Spatial Keyword k Nearest Neighbor (SKkNN) and Spatial Keyword Range (SKR) queries. Then, we present the framework of a spatial keyword query
Results 1 - 10 of 239