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What is an Ontology
 
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Description of an ontology and its benefits. Please contact [email protected] for more information.
Views: 145149 SpryKnowledge
Linking Text Mining Efforts to Semantic Web
 
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http://togotv.dbcls.jp/20130629.html http://www.slideshare.net/jindong/pubannotation-ontocloudlodqa NBDC / DBCLS BioHackathon 2013 was held in Tokyo, Japan. Main focus of this BioHackathon is semantic interoperability and standardization of bioinformatics data and Web services. The participants discussed, explored and developed web applications and interoperability (DDBJ/UniProt, SADI, TogoGenome, Schema.org etc.), generation and standardization of RDF data (Open Bio* tools, SIO, FALDO, Identifiers.org etc.), text-mining, NLP and ontology mapping (LODQA, BioPortal, NanoPublication etc.), quality assessment of SPARQL endpoints (availability, contents, CORS etc.) and standardization of RDF data in specific domains. On the first day of the BioHackathon (Jun. 23), public symposium of the BioHackathon 2013 was held at Tokyo Skytree Space 634. In this talk, Jin-Dong Kim makes a presentation entitled "Linking Text Mining Efforts to Semantic Web".
Views: 524 togotv
Semantic Web, combining the Web with artificial intelligence
 
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[Research on Semantic Web, combining the Web with artificial intelligence] Takahira Yamaguchi's research group is studying the Semantic Web, which combines the Web and artificial intelligence. In the Semantic Web, software can be made to understand the meaning of Web pages, by adding headings called metadata to Web pages. The key technology for achieving this next-generation Semantic Web is called ontologies. Q. To put it simply, ontologies are like electronic dictionaries that enable software to understand the meaning of words. This research has been pursued not in the Internet field, but independently of the Internet, in the field of artificial intelligence. Yamaguchis group has developed a tool for semi-automatic construction from text to ontology, and released it as an open source program. Q. When such ontologies are constructed, they can be used to achieve Q&A systems using analysis engines, which are not possible with the current Internet. Suppose a user asks, for example, What is the average price of a condo in Tokyo? Were developing a system where the answer can be calculated using data and ontologies to give a reply automatically. In addition, Yamaguchis group is researching Semantic Robot Services. These combine the Semantic Web and robots, so several robots can collaborate while considering various things. Q. At present, the Internet is used mainly by searching, but as the next stage of processing, I think theres a lot of routine work; for example, when certified accountants do a variety of accounting processes. If all routine work could be done by the next-generation Internet, then specialists could concentrate on more advanced work. Wed like to create that sort of world. Q. It is said that the Semantic Web will take 5-10 years to become practical. But since last fall, theres been a major trend in this direction, and Yahoo has introduced the basic technologies for the Semantic Web in its search engine. Our students are working on next-generation Internet services by looking at such trends. A Service Innovation Course started at Keio Universitys Graduate School this year, and Yamaguchis group aims for students to suggest future Web services that anticipate the next-generation Web. The current generation of young people, who have grown up with the Web, are expected to become involved in education and research on service innovation.
An Introduction to the Semantic Web
 
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To learn more, visit www.cambridgesemantics.com
Views: 22900 Cambridge Semantics
Ontology Based Information Retrieval Model Semantic Web Projects
 
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Contact Best Phd Topic Visit us: http://phdtopic.com/
Views: 280 Phdtopic com
Neural Network Based Multi- Agent Semantic Web Content Mining
 
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Semantic Web Tutorial 5/14: The Turtle Format
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 21189 Noureddin Sadawi
AR Mining for Semantic Web
 
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This is a demo video of Association Rule Mining for Semantic Web developed as my final year project in Engineering! Hope y'al like it
Views: 13 Leon D'souza
Web mining 1
 
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Views: 284 hardi rafat
OSCAR: text mining for chemistry
 
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OSCAR produces semantic annotation of chemistry documents. It uses natural-language processing to identify terms related to chemistry, which allows fast and efficient extraction of chemistry information. http://www.omii.ac.uk/wiki/OSCAR
Views: 354 omiiuk
The Text and Data mining functionalities of the PoolParty Semantic Suite
 
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This webinar introduces PoolParty Semantic Suite, the main software product of Semantic Web Company (SWC), one of the leading providers of graph-based metadata, search, and analytic solutions. PoolParty is a world-class semantic technology suite that offers sharply focused solutions to your knowledge organization and content business. PoolParty is the most complete semantic middleware on the global market. You can use it to enrich your information with valuable metadata to link your business and content assets automatically. This webinar focuses on the text-mining and entity- / text extraction capability of PoolParty Semantic Suite that is used for: • support of the continuous modelling of industrial knowledge graphs (as a supervised learning system) • for entity linking and data integration • for classification and semantic annotation mechanisms • and thereby for downstream applications like semantic search, recommender systems or intelligent agents The webinar presents and explains these features in the PoolParty software environment, shows demos based on real world use cases and finally showcases 3rd party integrations (e.g. into Drupal CMS).
Views: 162 AIMS CIARD
Semantic Web Page Create Tutorial - Part 1
 
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A semantic detail naturally describes its meaning to each the browser and the developer. Examples of non-semantic elements: div and span - Tells nothing about its content. Examples of semantic elements: form, table, and img - Clearly defines its content.
Views: 197 Hacking Tips&Tricks
Webinar: "Introduction to Semantic Technologies with OWL Reasoning"
 
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This is a recording from the online webinar on May 7th, 2015. During the webinar we: - provide you with an introduction on semantic technologies; - show how to build an ontology and how to reference other ontologies; - explain how to define annotations and how to import/export standard OWL/RDF ontologies; - explain what SPARQL is and how to query your ontology using SPARQL. To learn more about Semantic Technology, visit our Techblog: http://techblog.cognitum.eu/ To learn more about Fluent Editor, visit our website: http://www.cognitum.eu/semantics/FluentEditor/
Views: 3346 cognitumeu
Semantic Web Tutorial 1/14: Introduction - What is the Semantic Web
 
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My web page: www.imperial.ac.uk/people/n.sadawi
Views: 72004 Noureddin Sadawi
Design Mining the Web
 
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This seminar by Apropose, Inc., Chief Scientist Ranjitha Kumar is part of the Design at Large lecture series organized by CSE Prof. Scott Klemmer, and hosted by the Qualcomm Institute. The billions of pages on the Web today provide an opportunity to understand design practice on a truly massive scale: each page comprises a concrete example of visual problem solving, creativity, and aesthetics. In recent years, data mining and knowledge discovery have revolutionized the Web, driving search engines and recommender systems that are used by millions of people every day. However, data mining traditionally focuses on the content of Web pages, ignoring how that content is presented. What can we learn from miningdesign? This talk presents design mining for the Web, and presents a scalable platform for Web design mining called Webzeitgeist. Webzeitgeist consists of a repository of pages processed into data structures that facilitate large-scale design knowledge extraction. With Webzeitgeist, users can find, understand, and leverage visual design data in Web applications. I will demonstrate how software tools built on top of Webzeitgeist can be used to dynamically curate design galleries, search for design alternatives, retarget content between page designs, and even predict the semantic role of page elements from design data. As more and more creative work is done digitally and shared in the cloud, Webzeitgeist provides a concrete illustration of how design mining principles can be applied to benefit content creators and consumers. To learn more, visit webzeitgeist.stanford.edu.
Views: 1600 Calit2ube
Making the Semantic Web Accessible to the Casual User
 
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Google Tech Talks June, 26 2008 ABSTRACT The Semantic Web presents the vision of a distributed, dynamically growing knowledge base founded on formal logic. Common users, however, seem to have problems even with the simplest Boolean expression. So how can we help users to query a web of logic that they do not seem to understand? One frequently proposed solution to address this problem is the use of natural language (NL) for knowledge specification and querying. We propose to regard formal query languages and NL as two extremes of a continuum, where semistructured languages lie somewhere in the middle. To evaluate what degree of structuredness casual users prefer, we introduce four query interfaces, each at a different point in the continuum, and evaluate the users' preference and their query performance in a study with 48 subjects. The results of the study reveal that while the users dislike the constraints of a fully structured formal query language they also seem at a loss with the freedom of a full NLP approach. This suggests that restricted query languages will be preferred by casual users because of their guidance effect, mirroring findings from social science theory on human activity in general. Speaker: Prof. Bernstein Abraham Bernstein is a full Professor at the Department of Information Technology (Institut für Informatik) of the University of Zurich. He conducts research on various aspects of supporting dynamic (intra- and inter-) organizational processes. His work draws from both social science (organizational psychology/sociology) and technical (computer science, artificial intelligence) foundations. Before coming to Zurich he was an Assistant Professor, at the Information Systems Department in New York University's Stern School of Business, and received a Ph.D. at MIT's Sloan School of Management, where he worked with Prof. Thomas W. Malone at the Center for Coordination Science.
Views: 27069 GoogleTechTalks
Mining the Social Web - Installing the Virtual Machine
 
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A screencast that teaches you how to install a powerful social web mining toolbox in less than 5 minutes. (Uploaded 28 July 2013) Suggestions for improvement (or any comments at all) are very much appreciated. If this screencast helps you, please leave positive feedback.
Views: 2901 Matthew Russell
SECC Semantic-Web Hackathon Competition WEBINAR - 20 March 2014
 
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Online session to provide overview of SALE platform architecture, technical details and example usage scenarios. The session will discuss the competition stages, eligibility conditions, evaluation criteria, and awards. Follow SECC on Facebook / Twitter / Linkedin Facebook:https://www.facebook.com/SECC.Egypt Twitter: http://twitter.com/SECC_Egypt Linkedin: https://bit.ly/2on6X0R #SECC #Knowledge #ITIDA #ICT #Egypt #IT
Views: 443 SECC Egypt
misy 4390 chapter 5 on text and web mining.flv
 
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lecture on text mining and web mining
Views: 2025 Kakoli Bandyopadhyay
Sentiment Analysis in 4 Minutes
 
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Link to the full Kaggle tutorial w/ code: https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words Sentiment Analysis in 5 lines of code: http://blog.dato.com/sentiment-analysis-in-five-lines-of-python I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ The Stanford Natural Language Processing course: https://class.coursera.org/nlp/lecture Cool API for sentiment analysis: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 97389 Siraj Raval
PoolParty Semantic Classifier - Bringing Machine Learning, NLP and Knowledge Graphs together
 
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PoolParty Semantic Suite (https://www.poolparty.biz/) combines technologies based on Semantic Web, NLP, and Machine Learning. From version 6.2, users benefit from the Semantic Classifer, which is based on ML (Deep Learning, SVM, Bayes, ...) making use of semantically enriched training documents. This fusion of technologies, which is called 'Semantic AI', delivers higher F1 scores (precision and recall) than ML based on simple text input. In this video we discuss several AI technologies and how they are currently linked to each other.
International Journal of Web & Semantic Technology (IJWesT)
 
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International Journal of Web & Semantic Technology (IJWesT) ISSN : 0975 - 9026 ( Online ) 0976- 2280 ( Print ) http://www.airccse.org/journal/ijwest/ijwest.html Scope & Topics International journal of Web & Semantic Technology (IJWesT) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of web & semantic technology. The growth of the World-Wide Web today is simply phenomenal. It continues to grow rapidly and new technologies, applications are being developed to support end users modern life. Semantic Technologies are designed to extend the capabilities of information on the Web and enterprise databases to be networked in meaningfulways. Semantic web is emerging as a core discipline in the field of Computer Science & Engineering from distributed computing, web engineering, databases, social networks, Multimedia, information systems, artificial intelligence, natural language processing, soft computing, and human-computer interaction. The adoption of standards like XML, Resource Description Framework and Web Ontology Language serve as foundation technologies to advancing the adoption of semantic technologies. Topics of Interest Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to • Semantic Query & Search • Semantic Advertising and Marketing • Linked Data, Taxonomies • Collaboration and Social Networks • Semantic Web and Web 2.0/AJAX, Web 3.0 • Semantic Case Studies • Ontologies (creation , merging, linking and reconciliation) • Semantic Integration, Rules • Data Integration and Mashups • Unstructured Information • Developing Semantic Applications • Semantics for Enterprise Information Management (EIM) • Knowledge Engineering and Management • Semantic SOA (Service Oriented Architectures) • Database Technologies for the Semantic Web • Semantic Web for e-Business, Governance and e-Learning • Semantic Brokering, Semantic Interoperability, Semantic Web Mining • Semantic Web Services (service description, discovery, invocation, composition) • Semantic Web Inference Schemes • Semantic Web Trust, Privacy, Security and Intellectual Property Rights • Information discovery and retrieval in semantic web; • Web services foundation, Architectures and frameworks. • Web languages & Web service applications. • Web Services-driven Business Process Management. • Collaborative systems Techniques. • Communication, Multimedia applications using web services • Virtualization • Federated Identity Management Systems • Interoperability and Standards • Social and Legal Aspect of Internet Computing • Internet and Web-based Applications and Services Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] or [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Views: 100 IJWEST JOURNAL
Semantic Web - Semantic Data Generator with Fortunata Part II
 
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This video show the use of Fortunata Framework (created for the UAM and UPM university). It function is simplify the creation of Web Page with Semantic data. Here I show a little example, creating a wiki of the example and inserting the code for the generate the pages's OWL and RDF files.
PoolParty Semantic Suite - From Text Mining to Linked Data
 
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This webinar (held on November 6, 2013) gives an overview over the latest release of PoolParty Semantic Suite. PoolParty 4 provides some ultimate features in order to create and maintain knowledge graphs at the lowest possible cost. Knowledge graphs like taxonomies, thesauri and ontologies build the basis for PoolParty's integrated high-quality text mining. PoolParty combines the best of three worlds: knowledge modeling, text mining and linked data. PoolParty is standards based: W3C's Semantic Web offers a large variety of linked data to be reused in enterprise systems. See PoolParty's Linked Data Harvester in action! This webinar offers insights into the huge potential semantic technologies are able to provide to enterprise applications. Attendees will see a variety of real-world applications based on PoolParty Semantic Suite: linked data integration, semantic matchmaking, dynamic semantic publishing, and semantic search. PoolParty has been integrated in to a list of Enterprise Content Management Systems like SharePoint 2013, Atlassian Confluence, Drupal, FirstSpirit or WordPress. See how users will benefit from semantic technologies when embedded into their accustomed environment. See how Linked Data Warehousing supports information integration of heterogeneous data sources. We will show how linked data graphs (like Geonames, DBpedia, ...), RDFized documents and interlinked thesauri can be pooled and used to execute complex queries.
iServe Semantic Web Service Registry
 
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We provide a brief guide through the service registry iServe and some of its query capabilities.
Views: 326 SOA4AllProject
Natural Language Processing (NLP) & Text Mining Tutorial Using NLTK | NLP Training | Edureka
 
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** NLP Using Python: - https://www.edureka.co/python-natural-language-processing-course ** This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and much more along with a demo on each one of the topics. The following topics covered in this video : 1. The Evolution of Human Language 2. What is Text Mining? 3. What is Natural Language Processing? 4. Applications of NLP 5. NLP Components and Demo Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV --------------------------------------------------------------------------------------------------------- Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ --------------------------------------------------------------------------------------------------------- - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed. This course is for anyone who works with data and text– with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience. -------------------------- Who Should go for this course ? Edureka’s NLP Training is a good fit for the below professionals: From a college student having exposure to programming to a technical architect/lead in an organisation Developers aspiring to be a ‘Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Text Mining Techniques 'Python' professionals who want to design automatic predictive models on text data "This is apt for everyone” --------------------------------- Why Learn Natural Language Processing or NLP? Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users. NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data. --------------------------------- For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 25954 edureka!
Final Year Projects | Semantic Web service discovery using natural language processing techniques
 
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Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 613 Clickmyproject
AI and Semantic Web to power realtime customer insights
 
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Customers and Environments are evolving rapidly. Consumer behavior and expectations are getting influenced every second in this age of instant living. Social influences are determining this flux to a large extent. Corporations can leverage extremely powerful tools such as AI and Semantic web to decode the changing behavior and adapt their products, services and promotions on a real time basis.
Views: 96 xurmotech
sOnr Web Mining for Confluence - PoolParty Tutorial #23
 
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SONR IS A TOOL FOR MARKET OBSERVERS AND TREND SCOUTS (http://www.sonr-webmining.com/). With sOnr, you will keep track of everything that happens in a domain or industry of your interest. SONR IS BASED ON SEMANTIC TECHNOLOGIES. It is embedded in Atlassian Confluence, a highly useful collaboration platform. This architectural approach supports teams of market observers to extract relevant information from news services, blogs, and short messages automatically. SONR HELPS TO EXCHANGE IDEAS AND TO STRUCTURE KNOWLEDGE. A built-in semantic search engine is one of its core elements. Automatic agents crawl the web and the intranet. Collaborative features leverage the value of your findings! USERS WILL BENEFIT FROM - enterprise-readiness, - highly precise search results, - collaborative knowledge management, - a coffee break while sOnr is mining the web
Final Year Projects | Web usage mining to improve the design of an e-commerce
 
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Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-778-1155 +91 958-553-3547 +91 967-774-8277 Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected] chat: http://support.elysiumtechnologies.com/support/livechat/chat.php
Views: 1984 myproject bazaar
Extract Structured Data from unstructured Text (Text Mining Using R)
 
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A very basic example: convert unstructured data from text files to structured analyzable format.
Views: 12109 Stat Pharm
An Ontology Based Text Mining Framework for R&D Project Selection
 
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An Ontology Based Text Mining Framework for R&D Project Selection ieee project in java
Views: 359 satya narayana
Why Semantic Knowledge Graphs matter
 
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PoolParty 5 (http://www.poolparty.biz/) - Five more reasons to lean on a world-class semantic platform. For many organisations it has become obvious that knowledge graphs and taxonomies are key elements in order to solve several issues in information and data management. Nevertheless, various methods to develop and maintain those are being discussed and it often remains unclear which of them should be applied. The PoolParty approach (http://www.poolparty.biz/see-how-it-works/) envisages an initial simple taxonomy (based on SKOS) to become more and more extended over time, e.g. by the application of ontologies, rules, graph mappings and linked data harvesting. This gradual approach has turned out to be a more practicable way for most industries in contrast to start with sophisticated ontologies first. This slidedeck also provides a comprehensive overview over the new features of PoolParty version 5. Apart from minor improvements and fixes, users of PoolParty 5 benefit from the following new features and major improvements: . Highly precise entity extraction . Deep integration with Confluence, SharePoint & Drupal . Fully integrated web crawler . Refined look & feel, and . Full-blown ontology management & semantic reasoning. Find live demos of linked data applications based on PoolParty Semantic Platform. For example, a semantic search application, which is fully based on an RDF graph store and the standards-based query language SPARQL.
Views: 976 Helmut Blumauer
02 Semantic Web Basis Architekturen
 
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Komplettes Video: http://bit.ly/i3dOov Zweite Vorlesung zu URI, XML, XML-Schema Dr. Harald Sack Vorlesung Semantic Web Technologien 2010/11 Hasso-Plattner-Institut Universität Potsdam
Views: 588 Yovisto
PoolParty 6.0 - The Most Complete Semantic Middleware on the Market
 
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PoolParty 6.0 (https://www.poolparty.biz/poolparty-6-0-release/) as enterprise software platform means: a rich set of semantic services at your fingertips! Key Improvements in release 6.0: more agile data integration, high-precision text mining, configurable semantic search and graph-based analytics dashboards. PoolParty’s new features also include a broad range of extensions and improvements in the areas of linked data, knowledge engineering and text mining.
Towards the semantic web of science - P. Murray-Rust
 
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The development of CIF has allowed IUCr journals to capture the structured semantic content of research articles to a very high degree. Hyperlinking between components of the scholarly article (the text, structural data model, experimental data) provides a sound technical basis for mining, validating and reusing scientific data with the help of high-volume robotic tools.
Web parsing, Web Scraping, Data Mining
 
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In this video we will look through opportunities for integrating PHP and Human Emulator functional.
Views: 6633 webemulator
How to use the iGlue semantic web database part1 - Facetted search
 
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How to use the iGlue semantic web database part1 - Facetted search
Views: 2036 iglueteam
Ontology in Data Mining
 
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For free academic projects, please visit www.freeacademicprojects.com, just register and get your project with free* of cost. * Conditions Apply Call us on +9140 64512789 To get the projects list we have logon to http://www.freeacademicprojects.com/ To like our facebook page follow this link https://www.facebook.com/freeacademicprojects To like our Company please follow this link https://www.facebook.com/srujanatechnologies
Ontology Application Management (OAM) Framework User Tutorial Part II
 
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Ontology Application Management (OAM) Framework User Tutorial Part II Part II : Database to Ontology Mapping & Semantic Search System more information and download documents here : http://lst.nectec.or.th/oam/ Special thanks to Dr.Thepcahi Supnithi and Dr.Marut Buranarach.
Views: 2638 wirapong chansanam
The Semantic Web's Place in Academic Medicine and Research
 
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The potential of the semantic web continues to garner great attention in a variety of fields as the web and connections between data continue to evolve. In this video, Mark Musen, M.D., Ph.D. of Stanford University School of Medicine discusses what the semantic web is, how it is currently used - and will be used - in clinical care, research, patient empowerment, and education.
Views: 301 AAMCtoday
Text Analytics and Text Mining Explained by OdinText
 
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Text Analytics Explained. Anderson Analytictics, developers of Next Generation Text Analytics software platform OdinText explain Text Analytics and the power of text mining, as well as the difference between first generation text analytics software from IBM SPSS, SAS Text, Attensity and Clarabridge compared to the OdinText Next Generation Text Analytics approach to text and data mining. http://www.OdinText.com
Views: 26513 OdinText
A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob  |  Edureka
 
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( Machine Learning Training with Python: https://www.edureka.co/python ) This video on the Sentiment Analysis in Python is a quick guide for the one who is getting started with Sentiment Analysis. Second Part: https://youtu.be/27P268Q7pE0 Check out our playlist for more videos: http://bit.ly/2taym8X Subscribe to our channel to get video updates. Hit the subscribe button above. #MachineLearningUsingPython #MachineLearningTraning #SentimentAnalysis #PythonEdureka How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience. After completing this Machine Learning Certification Training using Python, you should be able to: Gain insight into the 'Roles' played by a Machine Learning Engineer Automate data analysis using python Describe Machine Learning Work with real-time data Learn tools and techniques for predictive modeling Discuss Machine Learning algorithms and their implementation Validate Machine Learning algorithms Explain Time Series and it’s related concepts Gain expertise to handle business in future, living the present - - - - - - - - - - - - - - - - - - - Why learn Machine Learning with Python? Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning. Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 13409 edureka!
Semantic Web for Developers
 
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All links mentioned can be found here: http://www.slideshare.net/semwebcompany/webinar-semantic-web-for-developers How to build smart applications on top of linked data and semantic technologies: This is the videocast of a webinar given by the Semantic Web Company in March 2013
From SKOS Over SKOS-XL to Custom Ontologies
 
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This webinar is about PoolParty Semantic Suite (http://www.poolparty.biz/), especially about features included by releases 5.2 and 5.3. See how taxonomy management based on SKOS can be extended with SKOS-XL, all based on W3C's Semantic Web standards. See how SKOS-XL can be combined with ontologies like FIBO. PoolParty's built in reference corpus analysis based on powerful text mining helps to continuously extend taxonomies. Its built-in co-occurence analysis supports taxonomists with the identification of candidate concepts. PoolParty Semantic Integrator can be used for deep data analytics tasks and semantic search. See how this can be integrated with various graph databases and search engines.
Integration with IKS FISE to bring Semantic Web Technology to GOSS iCM
 
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This video demonstrates a prototype of integration between GOSS iCM and IKS FISE which enables semantic information about related people, places and organizations to be added to articles created with GOSS iCM and published as RDFa. It also shows how the same information can be added to a triple store which responds to SPARQL queries.
Views: 80 GOSSInteractive