The document discusses research that revisits the graph structure of the web using a new large crawl from Common Crawl. It finds that the web has become more dense and connected over time, with the largest strongly connected component growing significantly. While previous research found power laws for in- and out-degrees, this data does not fit power laws and instead has heavy-tailed distributions. The shape of the bow-tie structure also depends on the specific crawl used. The authors provide the new crawl data and analysis to enable further research on the evolving structure of the web graph.
At Data-centric Architecture Forum 2020 Thomas Cook, our Sales Director of AnzoGraph DB, gave his presentation "Knowledge Graph for Machine Learning and Data Science". These are his slides.
A pipeline of reading, parsing, optimizing, and storing a log file to parquet.
This script uses the Python pandas library, utilizing the efficient Apache Parquet format for a big speed up and efficient storage.
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023AccuraCast
Slides from AccuraCast MD, Farhad Divecha's presentation at Brighton SEO.
In his talk, Farhad shared 10 must-have GA4 reports for SEO, showed how to set them up via GA4 and/or GTM, and explained insights to be gained from those reports, and actions that SEOs can take from those insights.
GA4 reports featured in the talk include some ready-to-use reports already present in GA4, and a number of GA4 explorations specifically designed for SEO analysis.
Most of the reports require little to no technical knowledge, but do require a basic understanding of visitor analytics, SEO, and basic familiarity with GA4.
At Data-centric Architecture Forum 2020 Thomas Cook, our Sales Director of AnzoGraph DB, gave his presentation "Knowledge Graph for Machine Learning and Data Science". These are his slides.
A pipeline of reading, parsing, optimizing, and storing a log file to parquet.
This script uses the Python pandas library, utilizing the efficient Apache Parquet format for a big speed up and efficient storage.
10 Must-HAve GA4 Reports for SEO - Brighton SEO Apr 2023AccuraCast
Slides from AccuraCast MD, Farhad Divecha's presentation at Brighton SEO.
In his talk, Farhad shared 10 must-have GA4 reports for SEO, showed how to set them up via GA4 and/or GTM, and explained insights to be gained from those reports, and actions that SEOs can take from those insights.
GA4 reports featured in the talk include some ready-to-use reports already present in GA4, and a number of GA4 explorations specifically designed for SEO analysis.
Most of the reports require little to no technical knowledge, but do require a basic understanding of visitor analytics, SEO, and basic familiarity with GA4.
[BrightonSEO 2022] Unlocking the Hidden Potential of Product Listing PagesAreej AbuAli
E-commerce websites’ product listing pages contain untapped hidden potential. This talk is all about unlocking the magic of your listing pages by making the most out of filters and internal linking. Instead of being fixated on those landing page head terms, let’s turn our attention to the indexability of long-tail pages with high conversion. Whether you work in e-commerce or not, we’ll also cover how to embed yourself within Tech teams and analyse impactful changes.
How to approach SEO in a world where Google has moved from strings and keywords to things, topics and entities. Dixon JOnes is the CEO of InLinks, who have build a proprietory NLP algorithm and Knowledge Graph designed for the SEO Industry.
Simple guidelines for your online presence and marketing, utilizing basics of digital marketing, as well as the main ideas behind antifragility and asymmetry .
The main online marketing strategy discussed is establishing yourself (company) as an authority/expert in your field. You do this very well and consistently such that people want to work with you (customers, investors, collaborators, etc.).
The main tool for establishing your presence is creating useful content that demonstrates your expertise. The main focus is on timeless topics to have time work with you, not against you.
Good luck!
How to Use Search Intent to Dominate Google DiscoverFelipe Bazon
In this talk you will learn how search intent can help you benefit from the growing popularity of Google Discover. You’ll get actionable tips, a case study example and exclusive data from SEMrush.
Javascript, SEO and Dollhouses by - #5HoursofTechnicalSEO @SEMrushKristina Azarenko
In this session, Kristina Azarenko will share the best practices for using JavaScript on a website so that it stays SEO-friendly (and can be found on Google). Kristina will also show real-life examples of when JS implementation went wrong and the tools to discover it.
Google Lighthouse is super valuable but it only checks one page at a time.
Hamlet will show you how to get it to check all pages of a site, and how to run automated Lighthouse checks on-demand at scheduled intervals and from automated tests.
He'll also cover how to set performance budgets, how to get alerts when budgets are exceeded, and how to aggregate page reports using BigQuery and Google Data Studio.
SEO low hanging Fruit - Identifying High Impact Opportunities Fast #SEOforUkr...Aleyda Solís
Learn how to identify high-impact SEO opportunities in your SEO Process fast, going through common scenarios that you can use to maximize your SEO results.
[MozCon 2019] Fixing the Indexability Challenge: A Data-Based FrameworkAreej AbuAli
[MozCon 2019] How do you turn an unwieldy 2.5 million-URL website into a manageable and indexable site of just 20,000 pages? Areej will share the methodology and takeaways used to restructure a job aggregator site which, like many large websites, had huge problems with indexability and the rules used to direct robot crawl. This talk will tackle tough crawling and indexing issues, diving into the case study with flow charts to explain the full approach and how to implement it.
Profiter de Google Discover - SEO Camp Day Lorraine 2019Aymen Loukil
Google Discover représente plus que 800 millions d'utilisateurs actifs par mois. Une opportunité de trafic organique qualifié à ne pas rater. Découvrez dans cette présentation :
- Importance de Google Discover
- Comment ça fonctionne
- Comment optimiser / créer des contenus pour y apparaitre
- Etudier votre audience et créer des personae
- Astuces et opportunités
How to construct your own SEO a b split tests (for free) - BrightonSEO July 2021Chris Green
A core skill of SEO is being curious and keeping an open mind. For years though, conducting split tests has been next-to impossible which means many of the "big questions" couldn't be accurately tested. But now the barrier to SEO Split testing is lower than ever, so low in fact Chris will show you how to build your own basic testing setup (for free).
You can find Chris on Twitter @chrisgreenseo
LOD , Linked Open Data 에 대한 소개 자료 입니다. LOD는 공공 데이터를 제공, 공유, 재활용하기 위한 또 하나의 방법이며 오픈 데이터(Open Data) 를 위한 하나의 방법으로 웹을 기반으로 데이터를 공유하여 재활용하고자 방법이며 기술이고 데이터입니다.
SEO In 2022: Google Discover and Microsite SERPs - (SEMrush Webinar)Evolving SEO
My presentation for the SEMrush webinar with Aleyda Solis and Mordy Oberstein on the Biggest Developments in SEO in 2021 and what to do about them in 2022. I focused on Google Discover and Google's SERP 'Microsites'.
Automate The Technical SEO Stuff by Michael Van Den Reym
In this talk, Michael will show you how to automate technical SEO tasks. You will learn how to schedule and compare crawls to spot technical errors faster, how to use RPA to speed up technical SEO audits and how to automatically optimize images. You will get inspired to execute technical SEO better and faster.
Log File Analysis: The most powerful tool in your SEO toolkitTom Bennet
Slide deck from Tom Bennet's presentation at Brighton SEO, September 2014. Accompanying guide can be found here: http://builtvisible.com/log-file-analysis/
Image Credits:
https://www.flickr.com/photos/nullvalue/4188517246
https://www.flickr.com/photos/small_realm/11189803763/
https://www.flickr.com/photos/florianric/7263382550
http://fotojenix.wordpress.com/2011/07/08/weekly-photo-challenge-old-fashioned/
Thriving as an SEO Specialist: Frameworks & Tips to Manage Complex SEO ProcessesAleyda Solís
How to successfully manage an SEO process? Is about having Influence to earn support, Be fast and agile and Be consistent and error free. I explain how in this presentation!
Trying to establish a more consistent SEO structure within your organization?
Wish every SEO fire had a more standardized, easy-to-follow solution?
We know – no two days in SEO are the same.
However, it’s surprisingly easy to find a consistent approach that provides meaningful impact.
And – it works whether you're in-house, an agency, or a freelance consultant.
Watch this webinar and learn the 4-step process that will help you tackle SEO challenges head-on as they arise.
This 4-Step SEO Waltz takes you through:
Visibility
Diagnostics
Iteration
Monitoring
Jamie Indigo and Michelle Race from Deepcrawl walks you through a four-step process that helps you meet SEO challenges head-on as they arise and stop SEO fires before they start.
SEO professionals still view the SEO process as a complex dance, but it could be a simple and practical framework for addressing challenges in various forms.
Discover how you can use the steps, pillars, and methods for more effective SEO project management within your company.
[BrightonSEO 2022] Unlocking the Hidden Potential of Product Listing PagesAreej AbuAli
E-commerce websites’ product listing pages contain untapped hidden potential. This talk is all about unlocking the magic of your listing pages by making the most out of filters and internal linking. Instead of being fixated on those landing page head terms, let’s turn our attention to the indexability of long-tail pages with high conversion. Whether you work in e-commerce or not, we’ll also cover how to embed yourself within Tech teams and analyse impactful changes.
How to approach SEO in a world where Google has moved from strings and keywords to things, topics and entities. Dixon JOnes is the CEO of InLinks, who have build a proprietory NLP algorithm and Knowledge Graph designed for the SEO Industry.
Simple guidelines for your online presence and marketing, utilizing basics of digital marketing, as well as the main ideas behind antifragility and asymmetry .
The main online marketing strategy discussed is establishing yourself (company) as an authority/expert in your field. You do this very well and consistently such that people want to work with you (customers, investors, collaborators, etc.).
The main tool for establishing your presence is creating useful content that demonstrates your expertise. The main focus is on timeless topics to have time work with you, not against you.
Good luck!
How to Use Search Intent to Dominate Google DiscoverFelipe Bazon
In this talk you will learn how search intent can help you benefit from the growing popularity of Google Discover. You’ll get actionable tips, a case study example and exclusive data from SEMrush.
Javascript, SEO and Dollhouses by - #5HoursofTechnicalSEO @SEMrushKristina Azarenko
In this session, Kristina Azarenko will share the best practices for using JavaScript on a website so that it stays SEO-friendly (and can be found on Google). Kristina will also show real-life examples of when JS implementation went wrong and the tools to discover it.
Google Lighthouse is super valuable but it only checks one page at a time.
Hamlet will show you how to get it to check all pages of a site, and how to run automated Lighthouse checks on-demand at scheduled intervals and from automated tests.
He'll also cover how to set performance budgets, how to get alerts when budgets are exceeded, and how to aggregate page reports using BigQuery and Google Data Studio.
SEO low hanging Fruit - Identifying High Impact Opportunities Fast #SEOforUkr...Aleyda Solís
Learn how to identify high-impact SEO opportunities in your SEO Process fast, going through common scenarios that you can use to maximize your SEO results.
[MozCon 2019] Fixing the Indexability Challenge: A Data-Based FrameworkAreej AbuAli
[MozCon 2019] How do you turn an unwieldy 2.5 million-URL website into a manageable and indexable site of just 20,000 pages? Areej will share the methodology and takeaways used to restructure a job aggregator site which, like many large websites, had huge problems with indexability and the rules used to direct robot crawl. This talk will tackle tough crawling and indexing issues, diving into the case study with flow charts to explain the full approach and how to implement it.
Profiter de Google Discover - SEO Camp Day Lorraine 2019Aymen Loukil
Google Discover représente plus que 800 millions d'utilisateurs actifs par mois. Une opportunité de trafic organique qualifié à ne pas rater. Découvrez dans cette présentation :
- Importance de Google Discover
- Comment ça fonctionne
- Comment optimiser / créer des contenus pour y apparaitre
- Etudier votre audience et créer des personae
- Astuces et opportunités
How to construct your own SEO a b split tests (for free) - BrightonSEO July 2021Chris Green
A core skill of SEO is being curious and keeping an open mind. For years though, conducting split tests has been next-to impossible which means many of the "big questions" couldn't be accurately tested. But now the barrier to SEO Split testing is lower than ever, so low in fact Chris will show you how to build your own basic testing setup (for free).
You can find Chris on Twitter @chrisgreenseo
LOD , Linked Open Data 에 대한 소개 자료 입니다. LOD는 공공 데이터를 제공, 공유, 재활용하기 위한 또 하나의 방법이며 오픈 데이터(Open Data) 를 위한 하나의 방법으로 웹을 기반으로 데이터를 공유하여 재활용하고자 방법이며 기술이고 데이터입니다.
SEO In 2022: Google Discover and Microsite SERPs - (SEMrush Webinar)Evolving SEO
My presentation for the SEMrush webinar with Aleyda Solis and Mordy Oberstein on the Biggest Developments in SEO in 2021 and what to do about them in 2022. I focused on Google Discover and Google's SERP 'Microsites'.
Automate The Technical SEO Stuff by Michael Van Den Reym
In this talk, Michael will show you how to automate technical SEO tasks. You will learn how to schedule and compare crawls to spot technical errors faster, how to use RPA to speed up technical SEO audits and how to automatically optimize images. You will get inspired to execute technical SEO better and faster.
Log File Analysis: The most powerful tool in your SEO toolkitTom Bennet
Slide deck from Tom Bennet's presentation at Brighton SEO, September 2014. Accompanying guide can be found here: http://builtvisible.com/log-file-analysis/
Image Credits:
https://www.flickr.com/photos/nullvalue/4188517246
https://www.flickr.com/photos/small_realm/11189803763/
https://www.flickr.com/photos/florianric/7263382550
http://fotojenix.wordpress.com/2011/07/08/weekly-photo-challenge-old-fashioned/
Thriving as an SEO Specialist: Frameworks & Tips to Manage Complex SEO ProcessesAleyda Solís
How to successfully manage an SEO process? Is about having Influence to earn support, Be fast and agile and Be consistent and error free. I explain how in this presentation!
Trying to establish a more consistent SEO structure within your organization?
Wish every SEO fire had a more standardized, easy-to-follow solution?
We know – no two days in SEO are the same.
However, it’s surprisingly easy to find a consistent approach that provides meaningful impact.
And – it works whether you're in-house, an agency, or a freelance consultant.
Watch this webinar and learn the 4-step process that will help you tackle SEO challenges head-on as they arise.
This 4-Step SEO Waltz takes you through:
Visibility
Diagnostics
Iteration
Monitoring
Jamie Indigo and Michelle Race from Deepcrawl walks you through a four-step process that helps you meet SEO challenges head-on as they arise and stop SEO fires before they start.
SEO professionals still view the SEO process as a complex dance, but it could be a simple and practical framework for addressing challenges in various forms.
Discover how you can use the steps, pillars, and methods for more effective SEO project management within your company.
Graphs, Edges & Nodes - Untangling the Social WebJoël Perras
Many of the most popular web applications today deal with highly organized and structured data that represent entities, and the relationships between these entities. LinkedIn can tell you how many degrees of separation there are between yourself and the CEO of Samsung, Facebook can figure out people that you might already know, Digg can recommend article submissions that you might like, and LastFM suggests music based on your current listening habits.
We’ll take a look at the basic theory behind how some of these features can be implemented (no computer science degree required!), and then dig in to a few practical implementations using PHP & and a relational database, as well as with Redis. Lastly, we’ll take a quick look at the current landscape of graph-based datastores that simplify many of these operations.
A graph is a data structure composed of vertices/dots and edges/lines. A graph database is a software system used to persist and process graphs. The common conception in today's database community is that there is a tradeoff between the scale of data and the complexity/interlinking of data. To challenge this understanding, Aurelius has developed Titan under the liberal Apache 2 license. Titan supports both the size of modern data and the modeling power of graphs to usher in the era of Big Graph Data. Novel techniques in edge compression, data layout, and vertex-centric indices that exploit significant orders are used to facilitate the representation and processing of a single atomic graph structure across a multi-machine cluster. To ensure ease of adoption by the graph community, Titan natively implements the TinkerPop 2 Blueprints API. This presentation will review the graph landscape, Titan's techniques for scale by distribution, and a collection of satellite graph technologies to be released by Aurelius in the coming summer months of 2012.
Web Page Recommendation Using Web MiningIJERA Editor
On World Wide Web various kind of content are generated in huge amount, so to give relevant result to user web recommendation become important part of web application. On web different kind of web recommendation are made available to user every day that includes Image, Video, Audio, query suggestion and web page. In this paper we are aiming at providing framework for web page recommendation. 1) First we describe the basics of web mining, types of web mining. 2) Details of each web mining technique.3)We propose the architecture for the personalized web page recommendation.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Slides of the presentation by Hugh Williams of OpenLink Software in the course of the LOD2 webinar: Virtuoso Universal Server on 20.12. 2011 - for more information please see: http://lod2.eu/BlogPost/webinar-series
Slides from a webinar on webware presented by Mike Qaissaunee and Gordon F. Snyder, Jr. (both of nctt.org). The webinar was hosted by MATEC NetWorks (http://www.matecnetworks.org/) and delivered via Elluminate. Visit MATEC NetWorks to watch the webinar.
GeoMapFish allows to build rich and extensible WebGIS in an easy and flexible way. It has been developed to fulfill the needs of various actors in the geospatial environment, might it be public, private or academic actors.
This is the presentation of the User-Group that took place in March 2021.
GPT4 versus BERT: Which Foundation Model is better for Web Data Integration?Chris Bizer
The Web contains vast amounts of structured data in the form of HTML tables, schema.org annotations, as well as datasets accessible via data repositories. The automated integration of data from larger numbers of Web data sources is a long-standing research challenge as the integration requires dealing with several tricky tasks such as schema matching, entity matching, and data indexing for retrieval. Most state-of-the-art methods for these tasks rely on variants of the BERT transformer model fine-tuned using significant amounts of task-specific training data. In the talk, Christian Bizer will critically review BERT-based data integration methods and question their robustness concerning out-of-distribution entities. He will compare the performance of BERT-based methods with results of GPT-4-based data integration methods and will argue that GPT-4-based methods are more training data efficient and more robust concerning unseen entities.
Integrating Product Data from the Semantic Web using Deep Learning TechniquesChris Bizer
The adoption of schema.org annotations on the Web has sharply increased over the last years with hundreds of thousands of websites annotating information about products, events, local businesses, reviews, and job postings within their pages. In the talk, Christian Bizer will discuss the integration of schema.org product data from large numbers of websites for the use cases of building product knowledge graphs as well as comparing product prizes across e-shops. The key challenge for this integration is to determine which webpages describe the same product. Christian Bizer will demonstrate how this challenge can be handled by deriving a large pool of training data from schema.org annotations and using this data to train transformer-based product matchers. He will discuss how the matchers exploit the richness of the training data available for widely sold head products using multi-task learning but can also excel on matching long-tail products using contrastive pre-training as well as cross-language learning.
Using the Semantic Web as Training Data for Product MatchingChris Bizer
Talk at the OpenKG Forum co-located with JIST2019 about using schema.org annotations from the Web for training product matchers.
See also:
http://webdatacommons.org/largescaleproductcorpus/v2/
http://jist2019.openkg.cn/index.php/openkgasia-forum/
JIST2019 Keynote: Completing Knowledge Graphs using Data from the Open WebChris Bizer
Current research on knowledge graph completion focuses on employing graph embeddings for the task of link prediction. But knowledge graph completion is more than link prediction and tasks such as adding formerly unknown long-tail entities to the graph, extending the schema of the graph with additional properties, and completing and updating numeric values are equally important tasks. In the talk, Christian Bizer will review recent results on using data from large numbers of independent websites to accomplish these tasks. He will focus on two types of web content – relational HTML tables and semantic annotations within HTML pages – and will discuss the potential of these types of content for set completion, schema extension, and fact checking, as well as their utility as training data for matching textual entity descriptions.
Schema.org Annotations and Web Tables: Underexploited Semantic Nuggets on the...Chris Bizer
Slideset of the keynote talk given by Christian Bizer at the Language Data and Knowledge (LDK 2019) conference in Leipzig, Germany
Abstract of the talk:
Millions of websites have started to annotate data describing products, local business, events, jobs, places, recipes, and reviews within their HTML pages using the schema.org vocabulary. These annotations are widely used by search engines to render rich snippets within search results. Surprisingly, the annotations are hardly used by the research community. In the talk, Christian Bizer investigates the potential of schema.org annotations for being used as training data for tasks such as entity matching, information extraction, and sentiment analysis. Web pages that offer semantic annotations often also contain additional structured data in the form of HTML tables. In the second part of the talk, Christian Bizer discusses the interplay of semantic annotations and web tables for information extraction as well as the general potential of relational HTML tables for complementing knowledge bases such as DBpedia, focusing on the discovery of formerly unknown long tail entities as well as the extraction of n-ary relations.
Link to the conference website:
http://2019.ldk-conf.org/invited-speakers/
Is the Semantic Web what we expected? Adoption Patterns and Content-driven Ch...Chris Bizer
http://iswc2016.semanticweb.org/pages/program/keynote-bizer.html
Semantic Web technologies, such as Linked Data and Schema.org, are used by a significant number of websites to support the automated processing of their content. In the talk, I will contrast the original vision of the Semantic Web with empirical findings about the adoption of Semantic Web technologies on the Web. The analysis will show areas in which data providers behave as envisioned by the Semantic Web community but will also reveal areas in which real-world adoption patterns strongly deviate. Afterwards, I will discuss the challenges that result from the current adoption situation. To address these challenges, I will exemplify entity reconciliation, vocabulary matching, and data quality assessment techniques which exploit all semantic clues that are provided while being tolerant to noise and lazy data providers.
Data Search and Search Joins (Universität Heidelberg 2015)Chris Bizer
The amount of structured data that is published on the Web has increased sharply over the last years. The deluge of available data calls for new search techniques which support users in finding and integrating data from large numbers of data sources. In his talk, Christian Bizer will give an overview of the different types of data search that have been proposed so far: Entity search, table search, constraint and unconstraint search joins. As an example of a system from the last category, he will introduce the Mannheim Search Join Engine which provides for executing unconstraint search joins over different types of Web data including Linked Data, Microdata, Web tables and Wikipedia tables.
Exploring the Application Potential of Relational Web TablesChris Bizer
The Web contains large amounts of HTML tables. Most of these tables are used for layout purposes, but a small subset of the tables is relational, meaning that they contain structured data describing a set of entities. Relational web tables cover a wide range of topics and there is a growing body of research investigating the utility of web table data for applications such as complementing cross-domain knowledge bases, extending arbitrary tables with additional attributes, and translating data values.
Until recently, most of the research around web tables originated from the large search engine companies as they were the only ones having access to large web crawls and thus were able to extract web table corpora from the crawls. This situation has changed in 2012 with the University of Mannheim and in 2014 with the Dresden University of Technology starting to extract web table corpora from the CommonCrawl, a large public web corpus.
In the talk, I will introduce the 2015 version of the Web Data Commons - Web Table Corpus. Afterward, I will give an overview of the different efforts that are currently conducted by my group on exploring the application potential of relational web tables. These efforts include profiling the content of web tables by matching them to cross-domain knowledge bases such as DBpedia, fusing web table data in order to complement cross-domain knowledge bases, and performing SearchJoins between a local table and a web table corpus in order to extend the local table with additional attributes.
Evolving the Web into a Global Dataspace – Advances and ApplicationsChris Bizer
Keynote talk at the 18th International Conference on Business Information Systems, 24-26 June 2015, Poznań, Poland
URL:
http://bis.kie.ue.poznan.pl/bis2015/keynote-speakers/
Abstract:
Motivated by Google, Yahoo!, Microsoft, and Facebook, hundreds of thousands of websites have started to annotate structured data within their pages using markup formats such as Microdata, RDFa, and Microformats. In parallel, the adoption of Linked Data technologies by government agencies, libraries, and scientific institutions has risen considerably. In his talk, Christian Bizer will give an overview of the content profile of the resulting Web of Data. He will showcase applications that exploit the Web of Data and will discuss the challenges of integrating and cleansing data from thousands of independent Web data sources.
Extending Tables with Data from over a Million WebsitesChris Bizer
The slideset describes the Mannheim Search Join Engine and was used to present our submission to the Semantic Web Challenge 2014.
More information about the Semantic Web Challenge:
http://challenge.semanticweb.org/
Paper about the Mannheim Search Join Engine:
http://dws.informatik.uni-mannheim.de/fileadmin/lehrstuehle/ki/pub/Lehmberg-Ritze-Ristoski-Eckert-Paulheim-Bizer-TableExtension-SemanticWebChallenge-ISWC2014-Paper.pdf
Abstract:
This Big Data Track submission demonstrates how the BTC 2014 dataset, Microdata annotations from thousands of websites, as well as millions of HTML tables are used to extend local tables with additional columns. Table extension is a useful operation within a wide range of application scenarios: Image you are an analyst having a local table describing companies and you want to extend this table with the headquarter of each company. Or imagine you are a film lover and want to extend a table describing films with attributes like director, genre, and release date of each film. The Mannheim SearchJoin Engine automatically performs such table extension operations based on a large data corpus gathered from over a million websites that publish structured data in various formats. Given a local table, the SearchJoin Engine searches the corpus for additional data describing the entities of the input table. The discovered data are then joined with the local table and their content is consolidated using schema matching and data fusion methods. As result, the user is presented with an extended table and given the opportunity to examine the provenance of the added data. Our experiments show that the Mannheim SearchJoin Engine achieves a coverage close to 100% and a precision of around 90% within different application scenarios.
Adoption of the Linked Data Best Practices in Different Topical DomainsChris Bizer
Slides from the presentation of the following paper:
Max Schmachtenberg, Christian Bizer, Heiko Paulheim: Adoption of the Linked Data Best Practices in Different Topical Domains. 13th International Semantic Web Conference (ISWC2014) - RDB Track, pp. 245-260, Riva del Garda, Italy, October 2014.
Paper URL:
http://dws.informatik.uni-mannheim.de/fileadmin/lehrstuehle/ki/pub/SchmachtenbergBizerPaulheim-AdoptionOfLinkedDataBestPractices.pdf
Abstract:
The central idea of Linked Data is that data publishers support applications in discovering and integrating data by complying to a set of best practices in the areas of linking, vocabulary usage, and metadata provision. In 2011, the State of the LOD Cloud report analyzed the adoption of these best practices by linked datasets within different topical domains. The report was based on information that was provided by the dataset publishers themselves via the datahub.io Linked Data catalog. In this paper, we revisit and update the findings of the 2011 State of the LOD Cloud report based on a crawl of the Web of Linked Data conducted in April 2014. We analyze how the adoption of the different best practices has changed and present an overview of the linkage relationships between datasets in the form of an updated LOD cloud diagram, this time not based on information from dataset providers, but on data that can actually be retrieved by a Linked Data crawler. Among others, we find that the number of linked datasets has approximately doubled between 2011 and 2014, that there is increased agreement on common vocabularies for describing certain types of entities, and that provenance and license metadata is still rarely provided by the data sources.
Search Joins with the Web - ICDT2014 Invited LectureChris Bizer
The talk will discuss the concept of Search Joins. A Search Join is a join operation which extends a local table with additional attributes based on the large corpus of structured data that is published on the Web in various formats. The challenge for Search Joins is to decide which Web tables to join with the local table in order to deliver high-quality results. Search joins are useful in various application scenarios. They allow for example a local table about cities to be extended with an attribute containing the average temperature of each city for manual inspection. They also allow tables to be extended with large sets of additional attributes as a basis for data mining, for instance to identify factors that might explain why the inhabitants of one city claim to be happier than the inhabitants of another.
In the talk, Christian Bizer will draw a theoretical framework for Search Joins and will highlight how recent developments in the context of Linked Data, RDFa and Microdata publishing, public data repositories as well as crowd-sourcing integration knowledge contribute to the feasibility of Search Joins in an increasing number of topical domains.
DBpedia - An Interlinking Hub in the Web of DataChris Bizer
Given and overview about the DBpedia project and the role of DBpedia in the Web of Data and outlines the next steps from the Dbpedia project as well as ideas for using DBpedia data within the BBC.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Graph Structure in the Web - Revisited. WWW2014 Web Science Track
1. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 1
Graph Structure in the Web
Revisited
Robert Meusel, Sebastiano Vigna,
Oliver Lehmberg, Christian Bizer
2. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 2
Textbook Knowledge about the Web Graph
Broder et al.: Graph structure in the Web. WWW2000.
used two AltaVista crawls (200 million pages, 1.5 billion links)
Results
Power Laws Bow-Tie
3. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 3
This talk will:
1. Show that the textbook knowledge might
be wrong or dependent on crawling process.
2. Provide you with a large recent Web graph
to do further research.
4. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 4
Outline
1. Public Web Crawls
2. The Web Data Commons Hyperlink Graph
3. Analysis of the Graph
1. In-degree & Out-degree Distributions
2. Node Centrality
3. Strong Components
4. Bow Tie
5. Reachability and Average Shortest Path
4. Conclusion
5. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 5
Public Web Crawls
1. AltaVista Crawl distributed by Yahoo! WebScope 2002
• Size: 1.4 billion pages
• Problem: Largest strongly connected component 4%
2. ClueWeb 2009
• Size: 1 billion pages
• Problem: Largest strongly connected component 3%
3. ClueWeb 2012
• Size: 733 million pages
• Largest strongly connected component 76%
• Problem: Only English pages
6. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 6
The Common Crawl
7. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 7
The Common Crawl Foundation
Regularly publishes Web crawls on Amazon S3.
Five crawls available so far:
Crawling Strategy (Spring 2012)
• breadth-first visiting strategy
• at least 71 million seeds from previous crawls and from Wikipedia
Date # Pages
2010 2.5 billion
Spring 2012 3.5 billion
Spring 2013 2.0 billion
Winter 2013 2.0 billion
Spring 2014 2.5 billion
8. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 8
Web Data Commons – Hyperlink Graph
extracted from the Spring 2012 version of the Common Crawl
size
3.5 billion nodes
128 billion arcs
pages originate from 43 million pay-level domains (PLDs)
• 240 million PLDs were registered in 2012 * (18%)
world-wide coverage
* http://www.verisigninc.com/assets/domain-name-brief-oct2012.pdf
9. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 9
Downloading the WDC Hyperlink Graph
http://webdatacommons.org/hyperlinkgraph/
4 aggregation levels:
Extraction code is published under Apache License
• Extraction costs per run: ~ 200 US$ in Amazon EC2 fees
Graph #Nodes #Arcs Size (zipped)
Page graph 3.56 billion 128.73 billion 376 GB
Subdomain graph 101 million 2,043 million 10 GB
1st level subdomain graph 95 million 1,937 million 9.5 GB
PLD graph 43 million 623 million 3.1 GB
10. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 10
Analysis of the Graph
11. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 11
In-Degree Distribution
Broder et al. (2000)
Power law with exponent 2.1
WDC Hyperlink Graph (2012)
Best power law exponent 2.24
12. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 12
In-Degree Distribution
Power law
fitted using
plfit-tool.
Maximum
likelihood
fitting.
Starting
degree:
1129
Best power
law exponent:
2.24
13. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 13
Goodness of Fit Test
Method
• Clauset et al.:
Power-Law Distributions in Empirical Data. SIAM Review 2009.
• p-value < 0.1 power law not a plausible hypothesis
Goodness of fit result
• p-value = 0
Conclusions:
• in-degree does not follow power law
• in-degree has non-fat heavy-tailed distribution
• maybe log-normal?
14. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 14
Out-Degree Distribution
Broder et al.:
Power law
exponent 2.78
WDC:
Best power law
exponent 2.77
p-value = 0
15. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 15
Node Centrality
http://wwwranking.webdatacommons.org
16. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 16
Average Degree
Broder et al. 2000: 7.5
WDC 2012: 36.8
Factor 4.9 larger
Possible explanation: HTML templates of CMS
17. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 17
Strongly Connected Components
Calculated using WebGraph framework on a machine with 1 TB RAM.
Largest SCC
Broder: 27.7%
WDC: 51.3 %
Factor 1.8 larger
18. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 18
The Bow-Tie Structure of Broder et al. 2000
Balanced size of IN and OUT: 21%
Size of LSCC: 27%
19. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 19
The Bow-Tie Structure of WDC Hyperlinkgraph 2012
IN much larger than OUT: 31% vs. 6%
LSCC much larger: 51%
20. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 20
Zhu et al. WWW2008
The Chinese web looks like a tea-pot.
21. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 21
Reachability and Average Shortest Path
Broder et al. 2000
Pairs of pages connected by
path: 25%
Average shortest path: 16.12
WDC Webgraph 2012
Pairs of pages connected by
path: 48%
Average shortest path: 12.84
22. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 22
Conclusions
1. Web has become more dense and more connected
• Average degree has grown significantly in last 13 years (factor 5)
• Connectivity between pairs of pages has doubled
2. Macroscopic structure
• There is large SCC of growing size.
• The shape of the bow-tie seems to depend on the crawl
3. In- and out-degree distributions do not follow power laws.
23. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 23
Questions?
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WebDataCommons.org also offers:
1. Corpus of 17 billion RDFa, Microdata, Microformats statements
2. Corpus of 147 million relational HTML tables
24. Graph Structure of the Web – Meusel/Vigna/Lehmberg/Bizer – WWW 2014 (Version: 4.2.2014) – Slide 24