Enterprise modelling and ontology are two separated fields of research. On the one hand, there exist various enterprise modelling languages developed since twenty years, but most of them are considered primarily on a syntactic basis. On the other hand, ontologies have been elaborated, which aim to formally define concepts in order to avoid ambiguities of understanding of knowledge in a specific...

The dramatically explosion of data and the growing number of different data sources are exposing researchers to a new challenge how to acquire, maintain and share knowledge from large databases in the context of rapidly applied and evolving research. This paper describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in dat...

Identifying and referencing places is important for many fields of research. Very different approaches of how to represent administrative structures on the Semantic Web can be found. This survey attempts to provide a broad overview of systems that work on (historic) administrative information. We present a classification for such systems, with special attention to the difference that arise from...

The Virtual Solar-Terrestrial Observatory is a production semantic web data framework providing access to observational datasets from fields spanning upper atmospheric terrestrial physics to solar physics. The observatory allows virtual access to a highly distributed and heterogeneous set of data that appears as if all resources are organized, stored and retrieved/used in a common way. The end-...

Knowledge in the form of semantic data is becoming more and more ubiquitous, and the need for scalable, dynamic systems to support collaborative work with such distributed, heterogeneous knowledge arises. We extend the “data in the cloud” approach that is emerging today to “knowledge in the cloud”, with support for handling semantic information, organizing and finding it efficiently and providi...

In this paper, methods are proposed for hypothesizing lambda-expressions of referred objects in telephone dialogues. Relations between words, semantic constituents and their composition into lambda-expressions are modeled by conditional random fields (CRF), in which functions integrate manually derived template patterns with words and concept hypotheses. Substantial error reductions are obtaine...

Temporal knowledge representation and reasoning is a major research field in Artificial Intelligence, in Database Systems, and in Web and Semantic Web research. The ability to model and process time and calendar data is essential for many applications like appointment scheduling, planning, Web services, temporal and active database systems, adaptive Web applications, and mobile computing applic...

This paper considers the possibilities offered by the application of techniques from the field of artificial intelligence (AI) to the newer field of web services (WS). Current commercial and research-based efforts are reviewed and positioned within the two fields. Particular attention is given to the application of AI techniques to the important issue of WS composition. Within the range of AI t...

Smog disaster is a severe global problem. Although it has been investigated for decades in environmental sciences, the analysis of smog data recently becomes an open problem in fields like big data and artificial intelligence. In this paper, we present our study of utilizing semantic reasoning techniques for accurate and explanatory smog disaster prediction. To this end, we enriched the smog da...

This paper describes an on-going project to develop and maintain a web-based Japanese Biodictionary within a Semantic Wiki environment. For the development of the dictionary, MediaWiki is extended to enable the writing of labeled links that represent RDF triples. The extension enables Semantic Wiki to provide not only collaborative environment for experts in various biology fields to create and...