E-Science platforms leverage Service Oriented Architecture (SOA) principles to deliver large catalogs of data processing services and experiments description workflows. In spite of their growing success, the usability of these platforms is hampered by their catalogs size and the domain-specific knowledge needed to manipulate the services provided. Relying on domain ontologies and semantic servi...

The majority of web assets cannot be understood by machines, because of the lack of available explicit and machine readable semantics. By enabling machines to understand the meaning of web media, fully automated discovery, processing, and linking become feasible. Semantic Web technologies o er the possibility to enhance web resources with explicit semantics via linking to ontologies encoded in ...

Explicit conceptual models are supposed to capture knowledge of lasting value in a reusable form. Reuse of explicit conceptual models is hampered by arbitrary and application-specific constraints; any constraints that conflict with a new application must be altered or removed before the models can be reused. This paper explores seven facets of relativity in explicit conceptual models using Form...

Between classical symbolic word sense disambiguation (wsd) using explicit deep semantic representations of sentences and texts and statistical wsd using word co-occurrence information, there is a recent tendency towards mediating methods. Similar to so-called lightweight semantics (Marek, 2009) we suggest to only make sparse use of semantic information. We describe an approximation model based ...

The Semantic Web is about adding formal structure and explicit semantics to web content for the purpose of more efficient information management and access by both humans and computers. Through the use of machine understandable semantics, web resources become much easier and more readily accessible. Populating the Semantic Web with multimedia metadata requires for appropriate technologies to su...

In contrast to the increasing meaning of business process management (BPM), there is a lack of knowledge about processes that impedes their analysis, implementation, and execution in business process management systems (BPMS). In this context, process modeling is an opportunity to capture process knowledge. Nevertheless, models are incomplete concerning semantic completeness. Therefore, ontolog...

This paper claims that tokoro-relatives in Japanese should be analyzed as involving an E-type pronoun, rather than backward control or movement. The arguments come from (i) quantifier scope, (ii) the maximality effect , (iii) negative quantifiers, (iv) split antecedents, and (v) tokoro-relative clauses without an explicit head. It also proposes a compositional semantic analysis of the tokoro-re...

Current metamodeling techniques can be used to specify the syntax and semantics of domain specific modeling languages (DSMLs). Still, there is little support for explicitly specifying concurrency semantics of DSMLs. Often, such semantics are provided by the implicit concurrency model of the execution environment supported by the language workbench used to implement the DSMLs. The lack of an exp...

The schizophrenia research literature contains many differing accounts of semantic memory function in schizophrenia as assessed through the semantic priming paradigm. Most recently, Event-Related Potentials (ERPs) have been used to demonstrate both increased and decreased semantic priming at a neural level in schizophrenia patients, relative to healthy controls. The present study used ERPs to i...

My primary research is in the representation of semantic information and its use in natural language processing applications. The meaning of a sentence is a central aspect of natural language understanding, yet an elusive one, since there is no accepted methodology for determining meaning. There is not even a consensus on criteria for distinguishing word senses, as can easily be seen by compari...