Data access is tricky and error-prone. Many formats require a deep understanding of the underlying techniques to be accessible. Additionally, the access itself is often error-prone due to unchecked queries or simply wrong assumptions while processing query results.
In concept lattice-based information retrieval, the task of document retrieval is being supported by means of Formal Concept Analysis. The steps of query matching and document ranking are informed by an underlying concept lattice thus induced from a set of documents. Recently, Codocedo et al. proposed a refined approach to this using semantic similarity as the basis for query evaluation and document ranking. This talk will give an introduction to their approach and discuss evaluation results.
In order to make statements about resources like people, websites or documents, the Resource Description Framework (RDF) is used. RDF data is represented as subject-predicate-object triples, where the subject is the described resource, the predicate is the defined property and the object.
In the context of the SemGIS project we are in need of data that fulfils the requirements we need to fulfil the usecases of our project partners. Currently, we would like to rely on OpenData only in order to find make predictions in our usecases of disaster management and energy.
Not all edges are of the same importance in a graph. However, previous research works have been focusing on vertices rather than edges. We propose a method that can measure the importance of edges, given a undirected simple graph (edges are unweighted). Such method can be easily extended to work with directed graphs as well. We also show evaluation results, how we identify important edges in a graph. Applications of the method are to be discussed.
Wikidata is a free, collaborative knowledge base created and boosted by Wikimedia Deutschland, and developed by a large community of volunteers all over the world. After almost 4 years, Wikidata has a community of 16 thousand active editors that has managed to create a knowledge graph with 20+ million notorious entities.
Inconsistent information in logical specifications is a ubiquitous phenomenon in many areas such as knowledge representation, software requirements engineering, database management, and semantic web. In order to analyze inconsistency and provide hints to repair it, inconsistency measures have been developed that can quantitatively assess the severity of inconsistency.
This presentation deals with the question of how linked data can be used to improve the search for information in a business enterprise. The aimed goal was the development of a concept for a knowledge graph to improve the company's internal data structure as well as the search for information within the company. The aimed goal was the development of a concept for a knowledge graph to improve the company's internal data structure as well as the search for information within the company.
Das Koldfish Projekt der Universität Koblenz hat sich als Ziel gesetzt Endbenutzer bei der Entwicklung von Applikationen gegen das Semantic Web zu unterstützen, indem es als Middleware zwischen Semantic Web und Applikation wiederkehrende Herausforderungen, wie etwa die Akquise und Verwaltung von (freien) verknüpften Daten, übernimmt. Die Kernfunktionalität ist dabei die Suche und Speicherung dieser in Form von RDF Graphen vorliegenden Linked (open) Data.
The Koldfish project is our institute's effort to improve usability of Linked Open Data. In this talk, we provide in which parts we help developers and data users. We also want to initiate a fruitful discussion on how other methods and tools of our institute could be integraded to the project as well as the development of new ideas.