Zhe Research Group Agile Knowledge Engineering and Semantic Web (AKSW) is hosted by the Chair of Business Information Systems (BIS) of the Institute of Computer Science (IfI) / University of Leipzig as well as the Institute for Applied Informatics (InfAI).
Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web
Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications
Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques
The Rhizomik initiative is inspired by the rhizome metaphor when working with knowledge from a scientific, technological but also philosophical point of view. This metaphor has accompanied us in our research about knowledge in many different fields, fundamentally Semantic Web, Human-Computer Interaction, Web Science, Complex Systems and Cognitive Science.
Open Data Registry (ODR) links together the data enterprises and consumers need to make better decisions about how to make, buy and use goods. Built upon linked open data standards, ODR provides a secure registry and access protocol for enterprises to safely share supply chain data with apps for computation, so they can innovate more sustainable products for their customers.
The NeuroCommons project seeks to make all scientific research materials - research articles, knowledge bases, research data, physical materials - as available and as usable as they can be. We do this by fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine easily and meaningfully, enabling semantically precise queries that span multiple information sources.
inked data describes a method of publishing structured data so that it can be interlinked and become more useful. It builds upon standard Web technologies such as HTTP and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers. This enables data from different sources to be connected and queried.[1]
KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.
Our lab focuses on research and applications of Semantic Computing, Text Mining, Linked Data, Natural Language Processing (NLP), Intelligent Information Systems, and related technologies. We are committed to providing free, open source software and open research data to the community.
The Semantic Web is really unleashing a revolution of new abilities! Smart data, which are meaningful to computers, are enabling a technology shift that leads to a better trade-off between flexibility and simplicity.
GoodRelations is the most powerful vocabulary for publishing all of the details of your products and services in a way friendly to search engines, mobile applications, and browser extensions. By adding a bit of extra code to your Web content, you make sure that potential customers realize all the great features and services and the benefits of doing business with you, because their computers can extract and present this information with ease.
we are developing SenticNet, a publicly available semantic and affective resource for opinion mining and sentiment analysis, built by means of sentic computing. By providing the semantics and sentics (that is, the cognitive and affective information) associated with over 14,000 concepts, SenticNet represents one of the most comprehensive semantic resources for the development of affect-sensitive applications in fields such as social data mining, ...
Science has fully entered a new mode of operation. E-science, defined as a combination of science, informatics, computer science, cyberinfrastructure and information technology is changing the way all of these disciplines do both their individual and collaborative work.
"Semantic Web Services, like conventional web services, are the server end of a client-server system for machine-to-machine interaction via the World Wide Web. Semantic services are a component of the semantic web because they use markup which makes data machine-readable in a detailed and sophisticated way (as compared with human-readable HTML which is usually not easily "understood" by computer programs)."
"The Sentikator is a computer linguistic engine designed to calculably recognize, analyze and quantify emotions and content in texts. It allows extracting sentiment out of news, analyst recommendations, social media data, transcripts, press releases, broker news, factsheets, weather forecasts and many other sources. Sentiment extraction is highly reliable and disseminated data is preprocessed so that implementation into existing or new financial applications is easily possible. The Sentikator gives valuable insights to emotions"
The Semantic Measures Library (SML) is an open source Java library dedicated to semantic measures computation and analysis.
Tools based on the SML are also provided through the SML-Toolkit, a command line software giving access to some of the functionalities of the library.