Integrating Web Data and Geographic Knowledge into Spatial Databases

Laender, Alberto H. F.; Borges, Karla A.V.; Carvalho, Joyce C.P.; Medeiros, Cláudia Bauzer; Silva, Altigran S. de; Davis, Clodoveu A.

doi:10.4018/9781591403876.ch002

Cited by 3 publications

(3 citation statements)

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“…This includes objects tracking [16], predictive queries [17], range queries [18], kNN queries [19], continuous queries [20], data uncertainty [21], and location privacy [22]. As a consequence, several efforts have focused on creating standard benchmarks for evaluating research on moving objects data [3,[23][24][25][26][27]. As part of creating such benchmarks, generating synthetic moving objects data gained considerable attention in the literature.…”

Section: Related Workmentioning

confidence: 99%

MNTG: An Extensible Web-Based Traffic Generator

Mokbel

Alarabi

Bao

et al. 2013

Advances in Spatial and Temporal Databases

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Section: Related Workmentioning

confidence: 99%

MNTG: An Extensible Web-Based Traffic Generator

Mokbel

Alarabi

Bao

et al. 2013

Advances in Spatial and Temporal Databases

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“…An interesting data integration problem we have addressed is that of integrating Web data and geographical knowledge into spatial databases [16], [32]. In this work, we see the Web as a rich data source that stores daily facts that often involve textual geographic descriptions.…”

Section: Web Data Integrationmentioning

confidence: 99%

Cooperative Research on Web Data Management at UFMG and UFAM - A Brief Report

Laender

Silva

2008

2008 Latin American Web Conference

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The World Wide Web has become a huge repository of data of interest for a variety of application domains. However, the same features that have made the Web so useful and popular also impose important restrictions on the way the data it contains can be manipulated. Particularly, in the traditional Web scenario, there is an inherent difficulty in gaining access to data that is implicitly present in Web pages but is not readily available. The term Web Data Management (WDM) has been used to refer to the study of problems related to fetching, extracting, querying, modeling, storing, transforming, and integrating data available on the Web. These issues have been growing in importance in the scientific community in the last years, as it can be be seen by the considerable space devoted to them in important publication venues. This interest is justified not only by the scientific and technical challenges involved in WDM problems, but also, and specially, by the growing demand from the industry for solving such problems. In this paper, we present a brief report on the WDM cooperative research carried out by the Database Laboratory at the Federal University of Minas Gerais (LBD/UFMG) and the Information Technology Group at the Federal University of Amazonas (GTI/UFAM). The main aim of this research effort is to develop methods and tools for dealing with data available on the Web and in other non-structured sources (e.g., XML documents), thus providing facilities similar to those available in traditional database systems for managing such data.

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“…Local merchants, services, and news are frequently sought [24]. The Web has the potential to provide more efficient local information access for consumers ("find me a nearby restaurant") and tourists ("show me attractions located within 1,000 meters"), but current search tools underuse its potential as a repository of geographic information [7,27,37]. According to Schockaert et al [37], current local search services, such as Google Maps 1 or Yahoo!…”

Section: Introductionmentioning

confidence: 99%

Ontology-driven discovery of geospatial evidence in web pages

et al. 2010

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When users need to find something on the Web that is related to a place, chances are place names will be submitted along with some other keywords to a search engine. However, automatic recognition of geographic characteristics embedded in Web documents, which would allow for a better connection between documents and places, remains a difficult task. We propose an ontology-driven approach to facilitate the process of recognizing, extracting, and geocoding partial or complete references to places embedded in text. Our approach combines an extraction ontology with urban gazetteers and geocoding techniques. This ontology, called OnLocus, is used to guide the discovery of geospatial evidence from the contents of Web pages. We show that addresses and positioning expressions, along with fragments such as postal codes or telephone area codes, provide satisfactory support for local search applications, since they are able to determine approximations to the physical location of services and activities named within Web pages. Our experiments show the feasibility of performing automated address extraction and geocoding to identify locations associated to Web pages. Combining location identifiers with basic addresses improved the precision of extractions and reduced the number of false positive results. Geoinformatica (2011) 15:609-631

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Integrating Web Data and Geographic Knowledge into Spatial Databases

Cited by 3 publications

References 0 publications

MNTG: An Extensible Web-Based Traffic Generator

MNTG: An Extensible Web-Based Traffic Generator

Cooperative Research on Web Data Management at UFMG and UFAM - A Brief Report

Ontology-driven discovery of geospatial evidence in web pages

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