Web Data Extraction from Query Result Pages Based on Visual and Content Features

A rapidly increasing number of Web databases are now become accessible via
their HTML form-based query interfaces. Query result pages are dynamically generated
in response to user queries, which encode structured data and are displayed for human
use. Query result pages usually contain other types of information in addition to query
results, e.g., advertisements, navigation bar etc. The problem of extracting structured data
from query result pages is critical for web data integration applications, such as comparison
shopping, meta-search engines etc, and has been intensively studied. A number of approaches
have been proposed. As the structures of Web pages become more and more complex, the
existing approaches start to fail, and most of them do not remove irrelevant contents which
may a®ect the accuracy of data record extraction. We propose an automated approach for
Web data extraction. First, it makes use of visual features and query terms to identify data
sections and extracts data records in these sections. We also represent several content and
visual features of visual blocks in a data section, and use them to ¯lter out noisy blocks.
Second, it measures similarity between data items in di®erent data records based on their
visual and content features, and aligns them into di®erent groups so that the data in the
same group have the same semantics. The results of our experiments with a large set of
Web query result pages in di®erent domains show that our proposed approaches are highly
e®ective.

Trickle Out Africa website

Includes free business directory of 4000 social and environmental enterprises across 19 countries of Eastern and Southern Africa. Also profiles over 20 cases studies across Zambia, Kenya, South Africa and Mozambique.

Weighing China’s export basket: The domestic content and technology intensity of Chinese exports

In this paper we use new, detailed, and comprehensive linked firm-transaction data to measure the domestic content and technology intensity of Chinese exports over the period 2000–2007. We evaluate the extent of value-added in China’s exports, using a modification of a method proposed by Hummels et al. (2001) which takes into account the prevalence of processing firms. In addition, we provide new estimates of the skill-and technology-intensity of China’s exports. Our estimates of value-added suggest that the domestic content of China’s exports increased from only 53% to about 60% over the period 2003–2006. Our cross-firm analysis reveals that processing exporters have value-added shares approximately 50% lower than non-processing exporters, even after accounting for ownership, location, and industry. We also show that Chinese exports have become increasingly sophisticated, largely driven by skill and technology improvement within industries.

A conceptualization of the determinants of small business website adoption

As evidence mounts on the importance of small businesses and the opportunities presented by website adoption globally, it becomes important to understand the key issues that determine website adoption. However, the extant literature relating to small business website adoption is fragmented and fails to provide an understanding of what determines adoption.Therefore the key contribution of this article to current knowledge is the development of a conceptualization, supported by the literature, that will provide an interpretation of what determines small business website adoption. Critically, this is the first article to incorporate the important role that the small business marketing context plays within Internet technology adoption. The article develops nine hypotheses, which relate to the critical interactions and integration, within and between four determinant groupings underpinning the conceptualization.The nine hypotheses will guide and direct future research towards generating an empirically based understanding of what determines small business website adoption.

An exploration of small business Website optimization: Enablers, influencers and an assessment approach

The literature reveals a need for more integrated research contributions to small business Internet adoption and theoretical development. There is also a need for these developments to relate more closely to effective, or optimized, use of web applications in business processes and growth. To address this, and building upon recent integrated theoretical developments, the aim of this study is to explore the determinants and outcomes relating to small business Website optimization. Five determining variables isolated from recent theoretical developments relate to small business Website adoption outcomes. Utilizing an optimization rating instrument with these variables a methodological approach produced four key findings. From these findings we develop an optimization model and focus important contributions as propositions. These propositions provide a new understanding of the enablers and influencers of small business Website optimization and a basis for research to develop further insights in this area.

Prisons Memory Archive

Between 2006 and 2007, the Prisons Memory Archive (PMA) filmed participants, including former prisoners, prison staff, teachers, chaplains, visitors, solicitors and welfare workers back inside the Maze/Long Kesh Prison and Armagh Gaol. They shared the memory of the time spent in these prisons during the period of political violence from 1970 - 2000 in Northern Ireland, commonly known as the Troubles. Underpinning the overall methodology is co-ownership of the material, which gives participants the right to veto as well as to participate in the processes of editing and exhibiting their stories, so prioritising the value of co-authorship of their stories. The PMA adopted life-story interviewing techniques with the empty sites stimulating participants’ memory while they walked and talked their way around the empty sites. A third feature is inclusivity: the archive holds stories from across the full spectrum of the prison experience. A selection of the material, with accompanying context and links is available online www.prisonsmemoryarchive.com

Further Information:

The protocols of inclusivity, co-ownership and life-story telling make this collection significant as an initiative that engages with contemporary problems of how to negotiate narratives about a conflicted past in a society emerging out of violence. Inclusivity means that prison staff, prisoners, governors, chaplains, tutors and visitors have participated, relating their individual and collective experiences, which sit side by side on the PMA website. Co-ownership addresses the issues of ethics and sensitivity, allowing key constituencies to be involved. Life-story telling, based on oral history methodologies allows participants to be the authors of their own stories, crucial when dealing with sensitive issues from a violent past. The website hosts a selection of excerpts, e.g. the Armagh Stories page shows excerpts from 15 participants, while the Maze and Long Kesh Prison page offers interactive access to 24 participants from that prison. Using an interactive documentary structure, the site offers users opportunities to navigate their own way through the material and encourages them to hear and see the ‘other’, central to attempts at encouraging dialogue in a divided society. Further, public discussions have been held after screening of excerpts with community groups in the following locations - Belfast, Newtownabbey, Derry, Armagh, Enniskillen, London, Cork, Maynooth, Clones, and Monaghan. Extracts have been screened at international academic conferences in Valencia, Australia, Tartu, Estonia, Prague, and York. A dataset of the content, with description and links, is available for REF purposes.

Identification of tetramethylarsonium in rice grains with elevated arsenic content

Tetramethylarsonium has for the first time been identified in a commercially grown food product, rice, constituting up to 5.8% of the total arsenic in the rice.

Arsenic influence on genetic variation in grain trace-element nutrient content in Bengal delta grown rice

It has previously been shown that across different arsenic (As) soil environments, a decrease in grain selenium (Se), zinc (Zn), and nickel (Ni) concentrations is associated with an increase in grain As. In this study we aim to determine if there is a genetic element for this observation or if it is driven by the soil As environment. To determine the genetic and environmental effect on grain element composition, multielement analysis using ICP-MS was performed on rice grain from a range of rice cultivars grown in 4 different field sites (2 in Bangladesh and 2 in West Bengal). At all four sites a negative correlation was observed between grain As and grain Ni, while at three of the four sites a negative correlation was observed between grain As and grain Se and grain copper (Cu). For manganese, Ni, Cu, and Se there was also a significant genetic interaction with grain arsenic indicating some cultivars are more strongly affected by arsenic than others.

Geographical variation in total and inorganic arsenic content of polished (white) rice

An extensive data set of total arsenic analysis for 901 polished (white) grain samples, originating from 10 countries from 4 continents, was compiled. The samples represented the baseline (i.e., notspecifically collected from arsenic contaminated areas), and all were for market sale in major conurbations. Median total arsenic contents of rice varied 7-fold, with Egypt (0.04 mg/kg) and India (0.07 mg/kg) having the lowest arsenic content while the U.S. (0.25 mg/kg) and France (0.28 mg/kg) had the highest content. Global distribution of total arsenic in rice was modeled by weighting each country's arsenic distribution by that country's contribution to global production. A subset of 63 samples from Bangladesh, China, India, Italy, and the U.S. was analyzed for arsenic species. The relationship between inorganic arsenic contentversus total arsenic contentsignificantly differed among countries, with Bangladesh and India having the steepest slope in linear regression, and the U.S. having the shallowest slope. Using country-specific rice consumption data, daily intake of inorganic arsenic was estimated and the associated internal cancer risk was calculated using the U.S. Environmental Protection Agency (EPA) cancer slope. Median excess internal cancer risks posed by inorganic arsenic ranged 30-fold for the 5 countries examined, being 0.7 per 10,000 for Italians to 22 per 10,000 for Bangladeshis, when a 60 kg person was considered.

Cooking rice in a high water to rice ratio reduces inorganic arsenic content

Total arsenic and arsenic speciation was performed on different rice types (basmati, long-grain, polished ([white] and wholegrain [brown]) that had undergone various forms of cooking. The effect of rinse washing, low volume (2.5 : 1 water : rice) and high volume (6 : 1 water : rice) cooking, as well as steaming, were investigated. Rinse washing was effective at removing circa. 10% of the total and inorganic arsenic from basmati rice, but was less effective for other rice types. While steaming reduced total and inorganic arsenic rice content, it did not do so consistently across all rice types investigated. Low volume water cooking did not remove arsenic. High volume water : rice cooking did effectively remove both total and inorganic arsenic for the long-grain and basmati rice (parboiled was not investigated in high volume cooking water experiment), by 35% and 45% for total and inorganic arsenic content, respectively, compared to uncooked (raw) rice. To reduce arsenic content of cooked rice, specifically the inorganic component, rinse washing and high volume of cooking water are effective.

High Percentage Inorganic Arsenic Content of Mining Impacted and Nonimpacted Chinese Rice

Two approaches were undertaken to characterize the arsenic (As) content of Chinese rice. First, a national market basket survey (n = 240) was conducted in provincial capitals, sourcing grain from China's premier rice production areas. Second, to reflect rural diets, paddy rice (n = 195) directly from farmers fields were collected from three regions in Hunan, a key rice producing province located in southern China. Two of the sites were within mining and smeltery districts, and the third was devoid of large-scale metal processing industries. Arsenic levels were determined in all the samples while a subset (n = 33) were characterized for As species, using a new simple and rapid extraction method suitable for use with Hamilton PRP-X100 anion exchange columns and HPLC-ICP-MS. The vast majority (85%) of the market rice grains possessed total As levels <150 ng g(-1). The rice collected from mine-impacted regions, however, were found to be highly enriched in As, reaching concentrations of up to 624 ng g(-1). Inorganic As (As(i)) was the predominant species detected in all of the speciated grain, with As(i) levels in some samples exceeding 300 ng g(-1). The As(i) concentration in polished and unpolished Chinese rice was successfully predicted from total As levels. The mean baseline concentrations for As(i) in Chinese market rice based on this survey were estimated to be 96 ng g(-1) while levels in mine-impacted areas were higher with ca. 50% of the rice in one region predicted to fail the national standard.