This document provides an overview and summary of a presentation about the PoolParty semantic platform. The presentation covers the following key points in 3 sentences:
The presentation provides an overview of the PoolParty semantic platform and its components for creating and managing taxonomies and knowledge graphs, linking data sources, and integrating knowledge graphs into applications via API. It demonstrates how PoolParty allows unstructured and structured data to be combined by extracting entities from text based on knowledge graphs. The presentation highlights new features of PoolParty 5 including improved entity extraction, disambiguation capabilities, deep integration with content management systems, a web crawler to extract terms from websites, and expanded ontology management.
PoolParty is a world-leading semantic technology platform focusing on standards-based management of taxonomies and ontologies.
Its outstanding text mining capabilities based on controlled vocabularies open up new options for masterdata and information management.
Try out a powerful thesaurus management system and entity extractor. See how easily knowledge models can be generated with PoolParty, and learn how linked open data can enrich your own thesaurus. Get an impression how simple it is to publish a knowledge model as linked open data and test our text mining component.
PoolParty Thesaurus Server (PPT) is an advanced software platform to manage enterprise metadata and linked data based on semantic knowledge models (taxonomies, thesauri, ontologies and knowledge graphs). PPT´s metadata management is based on W3C´s Semantic Web standards RDF, SKOS and OWL and is combined with text mining and linked data mapping technologies. PoolParty´s API (based on W3C´s SPARQL standard) allows the integration of semantic technologies with other systems like search engines, CMS, DMS, web shops or Wikis. In addition, PoolParty Enterprise Server offers outstanding facilities based on PoolParty Extractor that allow text mining over large document collections.
PoolParty knowledge modeling approach combines best-of-breed approaches of the semantic web (text corpus analysis, entity extraction, linked data enrichment, SKOS thesaurus management). This enables thesaurus managers to build, maintain and publish even the largest and most complex knowledge models built on top of RDF Schema and SKOS.
Application scenarios
web-based thesaurus-, vocabulary- and taxonomy-management based on open standards;
(semi-)automatic annotation and categorisation of documents with high precision;
thesaurus- and linked data publishing on the web and on the intranet (Sharepoint, Confluence etc.) as a basis to build semantic mash-ups;
data integration from different sources (structured and unstructured) based on flexible metadata models;
See why PoolParty is the most efficient thesaurus management tool on planet earth. See how to integrate PoolParty semantic technologies with SharePoint, Confluence or Drupal. With PoolParty Semantic Integrator complex queries can be executed: Combine text search with the power of knowledge graphs!
The slideset used to conduct an introduction/tutorial
on DBpedia use cases, concepts and implementation
aspects held during the DBpedia community meeting
in Dublin on the 9th of February 2015.
(slide creators: M. Ackermann, M. Freudenberg
additional presenter: Ali Ismayilov)
Presentation by M. Kaltenböck of Semantic Web Company given at the Linked Open Data MeetUp Mannheim on 23 February 2014 on: Semantic Information Management using PoolParty 4 - explaining PoolParty Semantic Suite with features and applications and real world use cases...
Towards digitizing scholarly communicationSören Auer
Slides of the VIVO 2016 Conference keynote: Despite the availability of ubiquitous connectivity and information technology, scholarly communication has not changed much in the last hundred years: research findings are still encoded in and decoded from linear, static articles and the possibilities of digitization are rarely used. In this talk, we will discuss strategies for digitizing scholarly communication. This comprises in particular: the use of machine-readable, dynamic content; the description and interlinking of research artifacts using Linked Data; the crowd-sourcing of multilingual
educational and learning content. We discuss the relation of these developments to research information systems and how they could become part of an open ecosystem for scholarly communication.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
PoolParty is a world-leading semantic technology platform focusing on standards-based management of taxonomies and ontologies.
Its outstanding text mining capabilities based on controlled vocabularies open up new options for masterdata and information management.
Try out a powerful thesaurus management system and entity extractor. See how easily knowledge models can be generated with PoolParty, and learn how linked open data can enrich your own thesaurus. Get an impression how simple it is to publish a knowledge model as linked open data and test our text mining component.
PoolParty Thesaurus Server (PPT) is an advanced software platform to manage enterprise metadata and linked data based on semantic knowledge models (taxonomies, thesauri, ontologies and knowledge graphs). PPT´s metadata management is based on W3C´s Semantic Web standards RDF, SKOS and OWL and is combined with text mining and linked data mapping technologies. PoolParty´s API (based on W3C´s SPARQL standard) allows the integration of semantic technologies with other systems like search engines, CMS, DMS, web shops or Wikis. In addition, PoolParty Enterprise Server offers outstanding facilities based on PoolParty Extractor that allow text mining over large document collections.
PoolParty knowledge modeling approach combines best-of-breed approaches of the semantic web (text corpus analysis, entity extraction, linked data enrichment, SKOS thesaurus management). This enables thesaurus managers to build, maintain and publish even the largest and most complex knowledge models built on top of RDF Schema and SKOS.
Application scenarios
web-based thesaurus-, vocabulary- and taxonomy-management based on open standards;
(semi-)automatic annotation and categorisation of documents with high precision;
thesaurus- and linked data publishing on the web and on the intranet (Sharepoint, Confluence etc.) as a basis to build semantic mash-ups;
data integration from different sources (structured and unstructured) based on flexible metadata models;
See why PoolParty is the most efficient thesaurus management tool on planet earth. See how to integrate PoolParty semantic technologies with SharePoint, Confluence or Drupal. With PoolParty Semantic Integrator complex queries can be executed: Combine text search with the power of knowledge graphs!
The slideset used to conduct an introduction/tutorial
on DBpedia use cases, concepts and implementation
aspects held during the DBpedia community meeting
in Dublin on the 9th of February 2015.
(slide creators: M. Ackermann, M. Freudenberg
additional presenter: Ali Ismayilov)
Presentation by M. Kaltenböck of Semantic Web Company given at the Linked Open Data MeetUp Mannheim on 23 February 2014 on: Semantic Information Management using PoolParty 4 - explaining PoolParty Semantic Suite with features and applications and real world use cases...
Towards digitizing scholarly communicationSören Auer
Slides of the VIVO 2016 Conference keynote: Despite the availability of ubiquitous connectivity and information technology, scholarly communication has not changed much in the last hundred years: research findings are still encoded in and decoded from linear, static articles and the possibilities of digitization are rarely used. In this talk, we will discuss strategies for digitizing scholarly communication. This comprises in particular: the use of machine-readable, dynamic content; the description and interlinking of research artifacts using Linked Data; the crowd-sourcing of multilingual
educational and learning content. We discuss the relation of these developments to research information systems and how they could become part of an open ecosystem for scholarly communication.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
Within the course, we will present Linked Data as a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the past years, leading to the creation of a global data space that contains many billions of assertions – the Web of Linked Data.
Big Linked Data - Creating Training CurriculaEUCLID project
This presentation includes an overview of the basic rules to follow when developing training and education curricula for Linked Data and Big Linked Data
Presented for managers & researchers at The Global One Health Initiative of the Ohio State University, Africa Regional Branch in Addis Ababa, Ethiopia (April 24th 2019)
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageOntotext
Many issues are faced by scholars, book researchers, museum directors who try to find the underlying connection between resources. Scholars in particular continuously emphasizes the role of digital humanities and the value of linked data in cultural heritage information systems.
Talk delivered at YOW! Developer Conferences in Melbourne, Brisbane and Sydney Australia on 1-9 December 2016.
Abstract: Governments collect a lot of data. Data on air quality, toxic chemicals, laws and regulations, public health, and the census are intended to be widely distributed. Some data is not for public consumption. This talk focuses on open government data — the information that is meant to be made available for benefit of policy makers, researchers, scientists, industry, community organisers, journalists and members of civil society.
We’ll cover the evolution of Linked Data, which is now being used by Google, Apple, IBM Watson, federal governments worldwide, non-profits including CSIRO and OpenPHACTS, and thousands of others worldwide.
Next we’ll delve into the evolution of the U.S. Environmental Protection Agency’s Open Data service that we implemented using Linked Data and an Open Source Data Platform. Highlights include how we connected to hundreds of billions of open data facts in the world’s largest, open chemical molecules database PubChem and DBpedia.
WHO SHOULD ATTEND
Data scientists, software engineers, data analysts, DBAs, technical leaders and anyone interested in utilising linked data and open government data.
This invited keynote at the Social Computing Track at WI-IAT21 gives an introduction to Knowledge Graphs and how they are built collaboratively by us. It gives also presents a brief analysis of the links in Wikidata.
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...Jeff Z. Pan
Tutorial on "Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge Graphs" presented at the 4th Joint International Conference on Semantic Technologies (JIST2014)
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Metadata enriching and discovery at Solent University Library Getaneh Alemu
Metadata enriching and discovery at Solent University Library / Getaneh Alemu
In today’s challenging financial environment, we at Solent are convinced that access, usage, impact and return on investment in library resources are ever more important. At Solent, 90% of the resources budget goes onto digital resources (e-books, e-journals and databases), and usage drives everything. We place particular emphasis on the function of the cataloguing and metadata part of our work. Metadata plays an important role to ensuring print and electronic resources are discoverable and usable by users as well as supporting the circulation, acquisition and interlibrary loan functions of a library (Alemu & Stevens, 2015; Haynes, 2018; Gartner, 2016; Zeng & Qin, 2016). “Metadata plays a critical role in the function of any discovery service. Search, relevancy ranking, faceted refinement, and recording grouping function (FRBR) all respond to the metadata present” (Han & Weathers, 2016, p, 276 in Varnum, 2016).
Metadata aides acquisition – the more we know about a resource, the more likely we acquire the right one. Metadata also aides usage – as undiscoverable resources do not get used. To this end, we are early adopters of RDA and FRBR. Currently, we are also part of the Jisc Hub Discovery where we share our bibliographic data. This short paper argues that metadata that is enriched, linked, open and filtered drives usage of resource (Alemu, 2014).
Presented at CIG (MDG) Conference 2020
Metadata and Discovery - Online, 7-11 September 2020
PoolParty Semantic Suite - Solutions for Sustainable DevelopmentMartin Kaltenböck
Presentation of the webinar: PoolParty for Sustainable Development - the Climate Tagger - taking place on 5 November 2015. More information and other presentations to be found here: http://bit.ly/1NpTcGT.
Recording of the webinar: https://www.youtube.com/watch?v=3GxtFfLL1ps.
See how taxonomies and thesauri serve as a core element of a linked data strategy and how large knowledge graphs can be built around it. Based on semantic web standards like SKOS, OWL, and SPARQL, enterprises can develop highly agile data integration platforms.
Within the course, we will present Linked Data as a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the past years, leading to the creation of a global data space that contains many billions of assertions – the Web of Linked Data.
Big Linked Data - Creating Training CurriculaEUCLID project
This presentation includes an overview of the basic rules to follow when developing training and education curricula for Linked Data and Big Linked Data
Presented for managers & researchers at The Global One Health Initiative of the Ohio State University, Africa Regional Branch in Addis Ababa, Ethiopia (April 24th 2019)
Build Narratives, Connect Artifacts: Linked Open Data for Cultural HeritageOntotext
Many issues are faced by scholars, book researchers, museum directors who try to find the underlying connection between resources. Scholars in particular continuously emphasizes the role of digital humanities and the value of linked data in cultural heritage information systems.
Talk delivered at YOW! Developer Conferences in Melbourne, Brisbane and Sydney Australia on 1-9 December 2016.
Abstract: Governments collect a lot of data. Data on air quality, toxic chemicals, laws and regulations, public health, and the census are intended to be widely distributed. Some data is not for public consumption. This talk focuses on open government data — the information that is meant to be made available for benefit of policy makers, researchers, scientists, industry, community organisers, journalists and members of civil society.
We’ll cover the evolution of Linked Data, which is now being used by Google, Apple, IBM Watson, federal governments worldwide, non-profits including CSIRO and OpenPHACTS, and thousands of others worldwide.
Next we’ll delve into the evolution of the U.S. Environmental Protection Agency’s Open Data service that we implemented using Linked Data and an Open Source Data Platform. Highlights include how we connected to hundreds of billions of open data facts in the world’s largest, open chemical molecules database PubChem and DBpedia.
WHO SHOULD ATTEND
Data scientists, software engineers, data analysts, DBAs, technical leaders and anyone interested in utilising linked data and open government data.
This invited keynote at the Social Computing Track at WI-IAT21 gives an introduction to Knowledge Graphs and how they are built collaboratively by us. It gives also presents a brief analysis of the links in Wikidata.
Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge ...Jeff Z. Pan
Tutorial on "Linked Data and Knowledge Graphs -- Constructing and Understanding Knowledge Graphs" presented at the 4th Joint International Conference on Semantic Technologies (JIST2014)
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Metadata enriching and discovery at Solent University Library Getaneh Alemu
Metadata enriching and discovery at Solent University Library / Getaneh Alemu
In today’s challenging financial environment, we at Solent are convinced that access, usage, impact and return on investment in library resources are ever more important. At Solent, 90% of the resources budget goes onto digital resources (e-books, e-journals and databases), and usage drives everything. We place particular emphasis on the function of the cataloguing and metadata part of our work. Metadata plays an important role to ensuring print and electronic resources are discoverable and usable by users as well as supporting the circulation, acquisition and interlibrary loan functions of a library (Alemu & Stevens, 2015; Haynes, 2018; Gartner, 2016; Zeng & Qin, 2016). “Metadata plays a critical role in the function of any discovery service. Search, relevancy ranking, faceted refinement, and recording grouping function (FRBR) all respond to the metadata present” (Han & Weathers, 2016, p, 276 in Varnum, 2016).
Metadata aides acquisition – the more we know about a resource, the more likely we acquire the right one. Metadata also aides usage – as undiscoverable resources do not get used. To this end, we are early adopters of RDA and FRBR. Currently, we are also part of the Jisc Hub Discovery where we share our bibliographic data. This short paper argues that metadata that is enriched, linked, open and filtered drives usage of resource (Alemu, 2014).
Presented at CIG (MDG) Conference 2020
Metadata and Discovery - Online, 7-11 September 2020
PoolParty Semantic Suite - Solutions for Sustainable DevelopmentMartin Kaltenböck
Presentation of the webinar: PoolParty for Sustainable Development - the Climate Tagger - taking place on 5 November 2015. More information and other presentations to be found here: http://bit.ly/1NpTcGT.
Recording of the webinar: https://www.youtube.com/watch?v=3GxtFfLL1ps.
See how taxonomies and thesauri serve as a core element of a linked data strategy and how large knowledge graphs can be built around it. Based on semantic web standards like SKOS, OWL, and SPARQL, enterprises can develop highly agile data integration platforms.
This talk was given at SEMANTiCS 2014 in Leipzig. It gives an overview how to develop an enterprise linked data strategy around controlled vocabularies based on SKOS. It discusses how knowledge graphs based on SKOS can extended step by step due to the needs of the organization.
Information Extraction and Linked Data CloudDhaval Thakker
In the media industry there is a great emphasis on providing descriptive metadata as part of the media assets to the consumers. Information extraction (IE) is considered an important tool for metadata generation process and its performance largely depend on the knowledge base it utilizes. The advances in the “Linked Data Cloud” research provide a great opportunity for generating such knowledge base that benefit from the participation of wider community. In this talk, I will discuss our experiences of utilizing Linked Data Cloud in conjunction with a GATE-based IE system.
Linked Data has become a broadly adopted approach for information management and data management not only by government organisations but also more and more by various industries.
Enterprise linked data tackles several challenges like the improvement of information retrieval tools or the integration of distributed data silos. Enterprises understand better and better why their information management should not be limited by organisational boundaries but should rather consider to integrate and link information from different spheres like the public internet, government organisations, professional information providers, customers and even suppliers.
On the other hand, enterprise IT architects still tend to pull down the shutters wherever possible. The continuation of the success of the Semantic Web doesn't seem to be limited by technical barriers anymore but rather by people's mindsets of intranets being strictly cut off from other information sources.
In this talk I will throw new light on the reasons why metadata is key for professional information management, and why W3C's semantic web standards are so important to reduce costs of data management through economies of scale. I will discuss from a multi-stakeholder perspective several use cases for the industrialization of semantic technologies and linked data.
Slides for the presentation of PoolParty Semantic Suite (http://www.poolparty.biz) at the PiLOD conference (http://www.pilod.nl) in Hilversum, the Nethertlands on 25th of June 2014 by Martin Kaltenböck - as part of the presentation of Linked Open Data at Wolters Kluwer - together with Christian Dirschl of WKD
See some common myths, discover the various open source enterprise search packages available and see some case studies on how open source software has helped organisations build effective search.
Lecture at the advanced course on Data Science of the SIKS research school, May 20, 2016, Vught, The Netherlands.
Contents
-Why do we create Linked Open Data? Example questions from the Humanities and Social Sciences
-Introduction into Linked Open Data
-Lessons learned about the creation of Linked Open Data (link discovery, knowledge representation, evaluation).
-Accessing Linked Open Data
Figshare for institutions - Jisc Digifest 2016Jisc
In May 2015 the EPSRC policy framework on research data came into effect. Salford University partnered with figshare to not only answer the mandate but to enhance the visibility of the research generated at the institution. All public facing research outputs are freely available to the wider public at salford.figshare.com.
Learn more about University of Salford’s approach and get a high level overview of the latest figshare functionality.
The European Innovation Partnership on Water Online MarketplaceMartin Kaltenböck
Presentation about the 'The European Innovation Partnership (EIP) on Water Online Marketplace (http://www.eip-water.eu)' taking place on 09.02.2016 in the course of the EIP Water annual conference in Leeuwarden, The Nethetlands.
Similar to PoolParty 5.0 - Five more reasons to lean on a world-class semantic platform (20)
How Enterprise Architecture & Knowledge Graph Technologies Can Scale Business...Semantic Web Company
Organising data, for most of us, means Excel spreadsheets and folders upon folders. Knowledge graph technology, however, organises data in ways similar to the brain – through context and relations. By connecting your data, you (and also machines) are able to gain context within your knowledge, helping you to make informed decisions based on all of the information you already have.
So, how can enterprises benefit from this and scale?
PwC Sr. Research Fellow for Emerging Tech, Alan Morrison, and Sebastian Gabler, Head of Sales of Semantic Web Company tackle the importance of Enterprise Knowledge Graphs and how these technologies scale business efficiency.
Learn about:
• Application-centric development to data-centric approaches
• How enterprise architects learn how to benefit from knowledge graphs: use cases
• Learn which use cases fit well to which type of graph, and which technologies are involved
• Understand how RDF helps with data integration.
• What is AI-assisted entity linking?
• Understand data virtualisation vs. materialisation
- Learn to understand what knowledge graphs are for
- Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies)
- Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods.
- Understand knowledge graphs as a basis for data integration in companies
- Understand knowledge graphs as tools for data governance and data quality management
- Implement and further develop knowledge graphs in companies
- Query and visualize knowledge graphs (including SPARQL and SHACL crash course)
- Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision
- Develop digital assistants and question and answer systems based on semantic knowledge graphs
- Understand how knowledge graphs can be combined with text mining and machine learning techniques
- Apply knowledge graphs in practice: Case studies and demo applications
Deep Text Analytics - How to extract hidden information and aboutness from textSemantic Web Company
- Deep Text Analytics (DTA) is an application of Semantic AI
- DTA fuses methods and algorithms taken from language modeling, corpus linguistics, machine learning, knowledge representation and the semantic web result into Deep Text Analytics methods
- Main areas of use cases for DTA are Information retrieval, NLU, Question answering, and Recommender Systems
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemSemantic Web Company
Knowledge graphs and graph-based data in general are becoming increasingly important for addressing various data management challenges in industries such as financial services, life sciences, healthcare or energy.
At the core of this challenge is the comprehensive management of graph-based data, ranging from taxonomy to ontology management to the administration of comprehensive data graphs along with a defined governance framework. Various data sources are integrated and linked (semi) automatically using NLP and machine learning algorithms. Tools for securing high data quality and consistency are an integral part of such a platform.
PoolParty 7.0 can now handle a full range of enterprise data management tasks. Based on agile data integration, machine learning and text mining, or ontology-based data analysis, applications are developed that allow knowledge workers, marketers, analysts or researchers a comprehensive and in-depth view of previously unlinked data assets.
At the heart of the new release is the PoolParty GraphEditor, which complements the Taxonomy, Thesaurus, and Ontology Manager components that have been around for some time. All in all, data engineers and subject matter experts can now administrate and analyze enterprise-wide and heterogeneous data stocks with comfortable means, or link them with the help of artificial intelligence.
Unified views of business-critical information across all customer-facing processes and HR-related tasks are most relevant for decision makers.
In this talk we present a SharePoint extension that supports the automatic linking of unstructured content like Word documents with structured information from other databases, such as statistical data. As a result, decision makers have knowledge portals based on linked data at their fingertips.
While the importance of managed metadata and Term Store is clear to most SharePoint architects, the significance of a semantic layer outside of the content silos has not yet been explored systematically.
We will present a four-layered content architecture and will take a close look on some of the aspects of the semantic layer and its integration with SharePoint:
- Keeping Term Store and the semantic layer in sync
- Automatic tagging of SharePoint content
- Use of graph databases to store tags
- Entity-centric search & analytics applications
Metadata is most often stored per data source, and therefore it is meaningless outside of the silo. In this presentation, we will give a live demo of a SharePoint extension that makes use of an explicit semantic layer based on standards. This approach builds the basis to start linking data across the silos in a most agile way.
The resulting knowledge graph can start on a small scale, to develop continuously and to grow with the requirements. In this presentation we will give an example to illustrate how initially disconnected HR-related data (CVs in SharePoint; statistical data from labour market; skills and competencies taxonomies; salary spreadsheets) gets linked automatically, and is then made available through an extensive search & analytics application.
Slides based on a workshop held at SEMANTiCS 2018 in Vienna. Introduces a methodology for knowledge graph management based on Semantic Web standards, ranging from taxonomies over ontologies, mappings, graph and entity linking. Further topics covered: Semantic AI and machine learning, text mining, and semantic search.
Semantic Artificial Intelligence is the fusion of various types of AI, incl. symbolic AI, reasoning, and machine learning techniques like deep learning. At the same time, Semantic AI has a strong focus on data management and data governance. With the 'wedding' of various AI techniques new promises are made, but also fundamental approaches like 'Explainable AI (XAI)', knowledge graphs, or Linked Data are more strongly focused.
Bringing Machine Learning and Knowledge Graphs Together
Six Core Aspects of Semantic AI:
- Hybrid Approach
- Data Quality
- Data as a Service
- Structured Data Meets Text
- No Black-box
- Towards Self-optimizing Machines
The PoolParty Semantic Classifier is a component of the Semantic Suite, which makes use of machine learning in combination with Knowledge Graphs.
We discuss the potential of the fusion of machine learning, neuronal networks, and knowledge graphs based on use cases and this concrete technology offering.
We introduce the term 'Semantic AI' that refers to the combined usage of various AI methods.
Machines learn better with Semantics!
See how taxonomy management and the maintenance of knowledge graphs benefit from machine learning and corpus analysis, and how, in return, machine learning gets improved when using semantic knowledge models for further enrichment.
A quick introduction to taxonomies, and how they relate to ontologies and knowledge graph. See how they can serve as part of a semantic layer in your information architecture. Learn which use cases can be developed based on this.
PoolParty GraphSearch - The Fusion of Search, Recommendation and AnalyticsSemantic Web Company
See how Cognitive Search works when based on Semantic Knowledge Graphs.
We showcase the latest developments and new features of PoolParty GraphSearch:
- Navigate a semantic knowledge graph
- Ontology-based data access (OBDA)
- Search over various search spaces: Ontology-driven facets including hierarchies
- Sophisticated autocomplete including context information
- Custom views on entity-centric and document-centric search results
- Linked data: put various tagging services such as TRIT or PoolParty Extractor in series and benefit from comprehensive semantic enrichment
- Statistical charts to explain results from unified data repositories quickly
- Plug-in system for various recommendation and matchmaking algorithms
This talk discusses how companies can apply semantic technologies to build cognitive applications. It examines the role of semantic technologies within the larger Artificial Intelligence (AI) technology ecosystem, with the aim of raising awareness of different solution approaches.
To succeed in a digital and increasingly self-service-oriented business environment, companies can no longer rely solely on IT professionals. Solutions like the PoolParty Semantic Suite utilize domain experts and business users to shape the cognitive intelligence of knowledge-driven applications.
Cognitive solutions essentially mimic how the human brain works. The search for cognitive solutions has challenged computer scientists for more than six decades. The research has matured to the extent that it has moved out of the laboratory and is now being applied in a range of knowledge-intensive industries.
There is no such thing as a single, all-encompassing “AI technology.” Rather, the large global professional technology community and software vendors are continuously developing a broad set of methods and tools for natural language processing and advanced data analytics. They are creating a growing library of machine learning algorithms to enhance the automated learning capabilities of computer systems. These emerging technologies need to be customized or combined with complementary solutions as semantic knowledge graphs, depending on the use case.
A hybrid approach to cognitive computing, employing both the statistical and knowledge base models, will have a critical influence on the development of applications. Highly automated data processing based on sophisticated machine-learning algorithms must give end user the option to independently modify the functioning of smart applications in order to overcome the disadvantages associated with ‘black-box’ approaches.
This talk will give an overview over state-of-the-art smart applications, which are becoming a fusion of search, recommendation, and question-answer machines. We will cover specific use cases in focused knowledge domains, and we will discuss how this approach allows for AI-enabled use cases and application scenarios that are currently highly prioritized by corporate and digital business players.
In this engaging, 1-hour webinar (hosted by http://www.poolparty.biz and http://www.mekon.com), you will learn how to tailor information chunks to readers’ unique needs. We will talk about:
- Benefits and principles of granular structured content, and how to start preparing your own content for this new architecture.
- Best practices for linking structured content to standards-based taxonomies, and some pitfalls to avoid
- The underlying semantic architecture that you can work toward for a truly mature and scalable approach to linking content and data
- Key use cases that you can apply to your own organization
See how you can configure your linked data eco-system based on PoolParty's semantic middleware configurator. Benefit from Shadow Concept Extraction by making implicit knowledge visible. Combine knowledge graphs with machine learning and integrate semantics into your enterprise information systems.
Technical Deep Dive: Learn more about the most complete Semantic Middleware on the market. See how to integrate semantic services into your Enterprise Information Systems.
Taxonomies and Ontologies – The Yin and Yang of Knowledge ModellingSemantic Web Company
See how ontologies and taxonomies can play together to reach the ultimate goal, which is the cost-efficient creation and maintenance of an enterprise knowledge graph. The knowledge modelling methodology is supported by approaches taken from NLP, data science, and machine learning.
This talk addresses two questions: “How can the quality of taxonomies be defined?” and “How can it be measured?” See how quality criteria vary depending on how a taxonomy is applied, such as automatic content classification in ecommerce or a knowledge graph for data integration in enterprises. Distinguish between formal quality, structural properties, content coverage, and network topology. Investigate the advantages of standards-based and machine-processable SKOS taxonomies to be able to measure the quality of taxonomies automatically, as well as several tools and techniques for quality assessment.
Consistency is crucial to a good user experience. Designers go to great lengths to create and test consistent visual designs. The structural design of an information environment, which is of equal importance to a good user experience, is too often ignored. Blumauer presents a “four-layered content architecture” for making sense of any information environment by clearly distinguishing between the content, metadata, and semantic layers and the navigation logic. He discusses several use cases for a taxonomy-driven user experience such as personalization or dynamically created topic pages.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
2. About this webinar
The power of
knowledge
graphs
Better Together:
Unstructured and
Structured Data
1
3
2
PoolParty
Platform:
Overview
4
PoolParty 5:
What’s new?
What’s next?
The Linked Data Path
5
3. About
Semantic Web Company founded in 2001
25 experts in linked data technologies
PoolParty Platform launched in 2009
Serving customers from all over the world
EU- & US-based consulting services
Andreas Blumauer, MScIT
CEO of Semantic Web Company
Find me/us on:
https://www.linkedin.
com/in/andreasblumauer
https://ablvienna.wordpress.
com/
http://www.slideshare.net/
semwebcompany
https://twitter.com/
semwebcompany
4. Our network: Customers & Partners
Some of our Customers
● Credit Suisse
● Boehringer Ingelheim
● Roche
● Wolters Kluwer
● BMJ Publishing Group
● Canadian Broadcasting Corporation (CBC)
● World Bank Group
● Inter-American Development Bank (IADB)
● International Atomic Energy Agency (IAEA)
● The Pokémon Company
● Healthdirect Australia
● Ministry of Finance (A)
● Wood Mackenzie
● Red Bull Media House
● Council of the E.U.
● TC Media
● American Physical Society
● Education Services Australia
● Pearson
● Norwegian Directorate of Immigration
● REEEP
● Techtarget
Finance / Automotive / Publisher / Health Care / Public Administration / Energy / Education
Selected Partners
● EBCONT
● EPAM Systems
● iQuest
● PwC
● Tenforce
● OpenLink Software
● Ontotext
● MarkLogic
● Gravity Zero
● Altotech
● Wolters Kluwer
● Taxonomy Strategies
● Digirati
We all have one goal in mind: Make machines smart
enough so that they can help us to find those needles
in the haystack, which are really relevant to us.
6. The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Norway France Austria Canada
doc
Norway France Austria Canada
doc
Show me all
documents about
European countries
Traditional approach Graph-based approach
doc doc doc
7. The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
Europe,
France
Europe,
Austria
America,
Canada
doc
Norway France Austria Canada
doc
Show me all
documents about
European countries
Europe
Traditional approach Graph-based approach
doc doc doc
8. The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
Europe,
France
Europe,
Austria
America,
Canada
doc
Norway France Austria Canada
doc
Show me all
documents about
European countries
Europe
Traditional approach Graph-based approach
Show me all
documents about EU
member countries
doc doc doc
9. Norway France Austria Canada
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
EU,
Europe,
France
EU,
Europe,
Austria
America,
Canada
doc doc doc doc doc
Show me all
documents about
European countries
Europe
Traditional approach Graph-based approach
Show me all
documents about EU
member countries
EU
10. Norway France Austria Canada
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
French,
EU,
Europe,
France
EU,
Europe,
Austria
French,
America,
Canada
doc doc doc doc doc
Show me all
documents about
European countries
Europe
Traditional approach Graph-based approach
Show me all
documents about EU
member countries
French-
speaking?
French-
speaking
EU
11. Norway France Austria Canada
The power of knowledge graphs:
Agility, flexibility, complexity
doc doc doc
Europe,
Norway
French,
EU,
Europe,
France
EU,
Europe,
Austria
French,
America,
Canada
doc doc doc doc doc
Show me all
documents about
European countries
Europe
Traditional approach Graph-based approach
Show me all
documents from EU
member countries
French-
speaking?
French-
speaking
EU
Metadata per
document
1. No or little network effects
2. No reuse of metadata
3. Metadata resides in silos
4. Data quality hard to measure
5. Not machine-readable
Knowledge about
metadata
1. Explicit knowledge models
2. Reusable and measurable
3. Metadata is machine-processable
4. Standards-based metadata
5. Linkable metadata opens silos
12. Information integration:
Healthdirect Australia
Over 120 information partners and sources
Great variety of category and metadata systems
One central vocabulary hub:
Australian Health Thesaurus (AHT)
Single point of access incl. harmonized search facets:
http://www.healthdirect.gov.au/
15. PoolParty core components
Bain Capital is a venture capital
company based in Boston, MA.
Since inception it has invested in
hundreds of companies including
AMC Entertainment, Brookstone,
and Burger King. The company was
co-founded by Mitt Romney.
16. See how it works:
PoolParty components & workflows
works on
basis for
● reference taxonomies
● linked data sources
● text reference corpora
enrich
basis for
Taxonomist/
Ontologist
Developer
● Confluence, WordPress
SharePoint, Drupal, ...
● search engine
● database
is user ofContent
Manager
enrich
annotate
basis for
analyzesuses API
17. PoolParty core components
Create and maintain
taxonomies and knowledge
graphs
“URIfication” of all types of things
Linking and mapping between
taxonomies and various graphs
Access and integrate knowledge
graphs via API (Read/Write)
Support of collaborative
workflows around taxonomy
management
RDFization of text
Extraction of ‘things’ (entities)
from text based on graphs
Extraction of (free) terms and
phrases from any kind of text
Categorization of documents
Ultra-fast auto completion based
on controlled vocabularies
Integrated with highly scalable
graph databases
Integration layer to improve
content and collaboration systems
Existing integrations with
SharePoint, Drupal, Confluence
Provision of user-dialogues to
support semi-automatic tagging
URI-based Semantic Indexing
Faceted search based on
taxonomies
Content recommender services
22. Complex Queries based on Linked Data
SELECT DISTINCT ?personname ?picture ?countryname ?hdi ?picture
WHERE
{
?person skos:prefLabel ?personname .
?country skos:prefLabel ?countryname .
?person a dbpedia:Person .
?country a dbpedia:Country .
?person skos:related ?country .
?country <http://dbpedia.org/property/hdi> ?hdi .
FILTER ( ?hdi < 0.6)
OPTIONAL
{
?person foaf:depiction ?picture .
}
} ORDER BY DESC(?hdi)
I want to explore medical
research trends in relation
to regional prosperity.
23. Organizing data in graphs and using links
Graph nervous_system_diseases-abstracts
Graph en.dbpedia.org
Graph www.nlm.nih.gov/mesh
Graph www.geonames.org
24. PoolParty Semantic Integrator
System Architecture
Classified documents +
Linked taxonomies +
Knowledge graphs
● Dynamic filter criterias
● BI-like interface
● Large scale RDF store
● Fully RDF compatible
● All queries via SPARQL
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26. Five more reasons to get started with
PoolParty. Try it out now!
Get your PoolParty 5
Thesaurus Server &
Entity Extractor trial:
http://www.poolparty.biz/test-demo/
28. Why Disambiguation is important?
Example
Brian Johnson (born 5
October 1947) is an English
singer and songwriter.
Since 1980, he has been
the lead singer of Australian
rock band AC/DC, with
whom he was inducted into
the Rock and Roll Hall of
Fame in 2003.
Brian Johnson (born
December 7, 1990) is an
American professional
baseball pitcher in the
Boston Red Sox
organization. Johnson was
part of the No. 1 recruiting
class by Baseball America
at the University of Florida
Brian
Johnson?
Brian Johnson
Brian Johnson
29. Brian Johnson in the news
● http://www.pressherald.com/2015/02/08/on-baseball-low-flying-johnson-on-red-sox-radar/
● http://bosoxinjection.com/2015/01/24/red-sox-prospect-brian-johnson-undervalued-asset/
● http://www.blocku.com/2015/2/8/8002765/early-look-at-utah-footballs-2016-recruiting-class
● http://www.ksl.com/?nid=635&sid=33335577
● http://www.nydailynews.com/entertainment/music/ac-dc-singer-teleprompter-grammys-opening-article-1.2107723
● http://ultimateclassicrock.com/acdc-bon-scott-final-show/
32. Deep integration with
SharePoint, Drupal & Confluence
Semi-automatic tagging, semantic
search integration, content
recommendation - all based on
your own enterprise vocabularies!
37. Refined look & feel
Refined look & feel improves user
experience and usability. Enjoy
working with PoolParty!
38. Full-blown ontology management &
semantic reasoning
From SKOS taxonomies to full-
blown ontologies:
PoolParty supports various levels of
knowledge modeling
39. From Simple SKOS to
large knowledge graphs
your data,
e.g. Excel
your
docs
Generate 1st
version of SKOS
taxonomy
Edit,extend &
curate
taxonomy
Extend schema,
apply ontologies,
use SKOS-XL
Link and map
between
taxonomies
and LD graphs
- Taxonomy Editing
- Collaborative workflows
- Free term extraction
- Tag recommender
- Quality Checker
- Reuse of existing
vocabularies
- Corpus Analysis
- Excel import
- XML import
- Linked data harvester
your CMS
- Reuse existing ontologies
- Create custom schemes
- Apply SKOS-XL
- Apply ontologies on your
SKOS taxonomy
- Automatic mapping between
taxonomies
- Linked Data frontend
- Link to other LD graphs, e.g.
DBpedia or Geonames
40. What’s next - the “Linked Data Path”
1
Build capacities for internal
knowledge about linked data
4 Develop
Knowledge Models
2
Identify & understand strategic
dimension of linked data
3
Define crisp &
feasible use cases
5 Put aspect of 'reusability of
information' in the Centre
7 Implementation of the use
cases with focus on learning
curve of knowledge carrier
6
Focus on central
use case: integrated views
on business objects
8
Communicate the strategic
dimension
of linked data