In recent years, strategies for Linked Data consumption have caught attention in Semantic Web research. For direct consumption by users, Linked Data mashups, interfaces, and visualizations have become a popular research area. Many approaches in this field aim to make Linked Data interaction more user friendly to improve its accessibility for nontechnical users. A subtask for Linked Data interfa...

Several methodologies for the semantic integration of databases have been proposed in the literature. These often use a variant of the Entity-Relationship (ER) model as the common data model. To aid the schema conforming, merging and restructuring phases of the semantic integration process, various transformations have been deened that map between ER representations which are in some sense equi...

With the advent of the Internet, the amount of Semantic Web documents that describe real-world entities and their inter-links as a set of statements have grown considerably. These descriptions are usually lengthy, which makes the utilization of the underlying entities a difficult task. Entity summarization, which aims to create summaries for real world entities, has gained increasing attention ...

we propose a DBMS the data model of which is an extension of the Entity-Relationship model of Chen. The main extensions include the specialization and generalization concepts of Smith 6 Smith and the possibility to define relationships between relationships. In addition we extend the concept of a role in a relationship, to a multi-valued role which enables to associate a set of tuples performin...

Provenance, the metadata that records the derivation history of scientific results, is essential in scientific workflows to support the reproducibility of scientific discovery, result interpretation, and problem diagnosis. To promote and facilitate interoperability among heterogeneous provenance systems, the Open Provenance Model (OPM) was first proposed in 2008 and since then has played an imp...

The cultural heritage knowledge domain is often characterized by complex semantic structures and a great lot of legacy information, possibly scattered on the Web that is not always properly structured. Thus, to achieve proper reasoning about this kind of knowledge one needs first a rather expressive model of representation that would also accommodate for its web distributed nature; and secondly...

This paper proposes a ternary relation extraction method primarily based on rich syntactic information. We identify PROTEIN-ORGANISM-LOCATION relations in the text of biomedical articles. Different kernel functions are used with an SVM learner to integrate two sources of information from syntactic parse trees: (i) a large number of syntactic features that have been shown useful for Semantic Rol...

In schema integration, schematic discrepancies occur when data in one database correspond to metadata in another. We define this kind of semantic heterogeneity in general using the paradigm of context that is the meta information relating to the source, classification, property etc of entities, relationships or attribute values in entity-relationship (ER) schemas. We present algorithms to resol...

Web-scale relation extraction is a means for building and extending large repositories of formalized knowledge. This type of automated knowledge building requires a decent level of precision, which is hard to achieve with automatically acquired rule sets learned from unlabeled data by means of distant or minimal supervision. This paper shows how precision of relation extraction can be considera...

We present an approach for the joint extraction of entities and relations in the context of opinion recognition and analysis. We identify two types of opinion-related entities — expressions of opinions and sources of opinions — along with the linking relation that exists between them. Inspired by Roth and Yih (2004), we employ an integer linear programming approach to solve the joint opinion re...