A metamodel is a precise definition of the constructs and rules needed for creating semantic models...an attempt at describing the world around us for a particular purpose.
With this Web page, we are opening some aspects of hakia R&D to the view of our users. We undertook highly specific research tasks solely dedicated to the advancement of the core-competency in Web search. The main challenge is to make science work in a co
This Special Issue of JIME will feature nine papers by invited, internationally renowned authors who have previously written about the effect of technology on education, learning and scholarship. Their interests and writing span distance education, higher
As human language is a primary mode of knowledge transfer, a growing integration of language technology tools into semantic web applications is to be expected. Language technology tools will be essential in scaling up the semantic web by providing automat
This Thinking XML column shows how to combine metadata collected from multiple XML source documents into a single Resource Description Framework (RDF) model for effective querying. In this follow-up to his previous installment that introduced how to use X
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated information processing. However, because of the Semantic Web's distributed natur
The Resource Description Framework (RDF) is a W3C standard for describing Web resources, such as the title, author, modification date, content, and copyright information of a Web page. What is RDF? RDF stands for Resource Description Framework RDF is
"The idea is to help computers become learning machines, not just pattern matchers and calculators"..."This is the first non-sarcastic reference to Web 3.0 I’ve seen in the wild”
Information vs Knowledge To a machine, knowledge is comprehended information (aka new information produced through the application of deductive reasoning to exiting information). To a machine, information is only data, until it is processed and compr
“The Semantic Web is a project that intends to create a universal medium for information exchange by putting documents with computer-processable meaning (semantics) on the World Wide Web.” "Google's very broad take on Web 3.0...enables you to use you
Er teilt die Wörter, die man auf Webseiten finden kann, folgendermaßen ein: "Da gibt erstens jene, die für den Leser geschrieben werden, damit er den Inhalt versteht, und zweitens die Wörter, die als Link hervorgehoben werden. Sie liefern meist eine Begründung dafür, warum man darauf klicken sollte. Drittens gibt es Wörter, mit denen die Menschen eine Seite für sich selbst beschreiben." Diese letzte Kategorie ist semantisch sehr interessant, weil sie so etwas wie eine selbst gewählte Erinnerungshilfe ist. Die Menschen beschreiben das Dokument mit Worten, die sich auf den Inhalt beziehen und die ausgesucht werden, nachdem ein Text gelesen verstanden wurde.
with during the event, ranked by the measured strengths of the interactions. On top of that, the system provides an interactive web-based visualization that allows users to browse their ego networks across all supported systems, exploring the interplay of face-to-face time, on-line friendships and shared interest. The system also provides simple forms of recommendation, by suggesting the closure of social triangles that span the supported networks: for example, if attendee A has spent face-to-face time with attendee B, the system can point her to the profile of a third attendee C who is a Facebook friend of both A and B, and hasn’t met A yet at the event.
TeSSI® (Terminology Supported Semantic Indexing) is a state-of-the-art tool that improves upon the existing search and retrieval tools by extracting the meaning out of medical free text and placing the resulting medical ‘concepts’ in the document ind
This discussion of XML and semantics kicks off a column by Uche Ogbuji on knowledge management aspects of XML, including metadata, semantics, Resource Description Framework (RDF), Topic Maps, and autonomous agents. Approaching the topic from a practical p
This Thinking XML column shows how to combine metadata collected from multiple XML source documents into a single Resource Description Framework (RDF) model for effective querying. In this follow-up to his previous installment that introduced how to use X
The introduction of semantics on the web will lead to a new generation of services based on content rather than on syntax. |:| Effective semantic search engines will provide means for successful searches avoiding the heavy burden experimented by users in
This post is part contribution to the general Web 3.0 / Data-Web / Semantic Web discourse, and part experiment / demonstration of the Data Web. I came across a pretty deep comments trail about the aforementioned items on Fred Wilson's blog (aptly title
We need solutions that can help the many people whose terms and vocabulary are left out of the taxonomy... The simple idea that people’s actions model meaning better than a directory (even a flexible directory) is a critical step forward in thinking ab
The emergence of P2P Inference Engines and domain-specific ontologies in Web 3.0 (aka Semantic Web) will present a major threat to the central “search” engine model. In Web 3.0 (aka Semantic Web) P2P Inference Engines running on millions of users’ P
Semantics (Greek semantikos, giving signs, significant, symptomatic, from sema, sign) refers to the aspects of meaning that are expressed in a language, code, or other form of representation. Semantics is contrasted with two other aspects of meaningful ex
• standards and interoperability between platforms • user experience and retention • technological barriers to entry • technological limitations (avatars per sim, etc.) • building community • setting societal standards • creating susta
In denotational semantics and functional programming, the terms monad morphism, monad layering, monad constructor, and monad transformer have by now accumulated 20 years of twisted history. The exchange between Eric Kidd and sigfpe about the probability monad prompted me to investigate this history
M. Alam, H. Birkholz, D. Dess\`ı, C. Eberl, H. Fliegl, P. Gumbsch, P. von Hartrott, L. Mädler, M. Niebel, H. Sack and 1 other author(s). Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021, volume 2941 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)
T. Dong, and M. Khosla. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), page 1835-1842. Los Alamitos, CA, USA, IEEE Computer Society, (December 2020)
G. Gesese, M. Alam, and H. Sack. Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020 - moved online, volume 2635 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)
H. Dong, W. Wang, K. Huang, and F. Coenen. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), page 1348--1354. Minneapolis, Minnesota, Association for Computational Linguistics, (June 2019)
T. Tietz, J. Waitelonis, K. Zhou, P. Felgentreff, N. Meyer, A. Weber, and H. Sack. Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to - 12th, 2019, volume 2451 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)