Group items tagged

"KBpedia is a computable knowledge structure that combines six (6) public knowledge bases - Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL - into an integrated whole. The knowledge graph that organizes this computable framework is the KBpedia Knowledge Ontology (KKO). KBpedia is the entirety of the combined knowledge bases; KKO is the schema by which these combined sources are made coherent.[1]"

"EKOSS (Engineering/Environmental Knowledge Ontology-based Semantic Search) has been developed for sharing expert knowledge using semantic web technologies. The website provides a collaborative knowledge sharing environment where knowledge experts can submit advertisements of the knowledge resources that they have developed, such as research papers, databases and computer simulation models. "

"KBpedia is a comprehensive knowledge structure for promoting data interoperability and knowledge-based artificial intelligence, or KBAI. The KBpedia knowledge structure combines six (6) public knowledge bases - Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL - into an integrated whole. KBpedia's upper structure, or knowle"

We want to be the leading organization in knowledge management and knowledge technologies in Austria. We want to be among the leading industry-based and application-oriented research institutions in knowledge management and knowledge technologies in Europe.

"Cognonto is an IT consulting boutique specializing in semantic technologies, knowledge graphs, and knowledge-based artificial intelligence. We are the developers of, and have unique expertise in, the knowledge structure KBpedia and its use in machine learning and data interoperability. Cognonto principals are scientists and acknowledged experts in knowledge representation, natural language understanding, and distributed knowledge sharing."

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.

The latest project by Stephen Wolfram is defined as the first "computational knowledge engine", something capable of answering factual question for you. The Wolfram engine is described as "a proprietary system based on fields of knowledge, containing terabytes of curated data and millions of lines of algorithms to represent real-world knowledge as we know it".

Knowledge Hives has been risen in the research community where contributing to the open source was a very common practice. We understand that in order to support the coming of third generation of the Internet (Web 3.0) a host of open source software needs to become widely accessible. Apart from our contribution to open source solutions delivered by others, a part of the mission of Knowledge Hives is to continue the research and development efforts of the Corrib.org group that has delivered many open source projects based on the research on the Web 3.0. In addition to publishing our own open source solutions and contributing to the existing open source projects, especially from the Corrib.org group, we provide commercial support that allows to leverage the potential of the open source software in more demanding environments, e.g., enterprises or large organizations.

the complete (non-proprietary) content of the Cyc knowledge base is being made available to the research community (for research-only purposes) under a ResearchCyc license. Yes, Cyc, the world's largest and most complete general knowledge base and commonsense reasoning engine, is at your disposal!

YAGO is a huge semantic knowledge base, derived from Wikipedia and WordNet. YAGO knows more than 2 million entities (e.g. persons, organizations, cities), and 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%.

LinkedGeoData is an effort to add a spatial dimension to the Web of Data / Semantic Web. LinkedGeoData uses the information collected by the OpenStreetMap project and makes it available as an RDF knowledge base according to the Linked Data principles. It interlinks this data with other knowledge bases in the Linking Open Data initiative.

YAGO is a huge semantic knowledge base. Currently, YAGO knows more than 2 million entities (like persons, organizations, cities, etc.). It knows 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%. YAGO is part of the YAGO-NAGA project at the Max-Planck Institute for Informatics in Saarbrücken/Germany.

OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWIG for text documents.

The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered.

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.

YAGO2 is a huge semantic knowledge base, derived from Wikipedia, WordNet and GeoNames. Currently, YAGO2 has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities.

Flora-2 is an advanced object-oriented knowledge representation and reasoning system. It is a dialect of F-logic with numerous extensions, including meta-programming in the style of HiLog, logical updates in the style of Transaction Logic, and defeasible reasoning. Applications include intelligent agents, Semantic Web, knowledge-bases networking, ontology management, integration of information, security policy analysis, and more.

"YAGO2s is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO2s has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities."

Knowledge Organization Systems/Services (KOS) model the underlying semantic structure of a domain. Embodied as Web-based services, they can facilitate resource discovery and retrieval. They act as semantic road maps and make possible a common orientation by indexers and future users (whether human or machine).

OntoWiki is a tool providing support for agile, distributed knowledge engineering scenarios. OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWIG for text documents.