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While IT landscapes are becoming more and more complex, the need for faster and more flexible service delivery as well as the need for providing constantly available services constitute an increasing challenge for the IT service management (ITSM) discipline. The work presented in this paper aims at providing a solution for collaboratively creating and maintaining systems monitoring configurations...
This article explores two matrix methods to induce the ldquoshades of meaningrdquo (SoM) of a word. A matrix representation of a word is computed from a corpus of traces based on the given word. Non-negative Matrix Factorisation (NMF) and Singular Value Decomposition (SVD) compute a set of vectors corresponding to a potential shade of meaning. The two methods were evaluated based on loss of conditional...
Natural language processing systems are increasingly using ontologies and other large-scale semantic resources to support Verb Sense Disambiguation (VSD) and other applications. One of the ways in which these resources can be used is to identify the selectional restrictions on verb arguments needed for sense distinction. However, manually navigating such resources can be difficult and inefficient...
In this paper, we consider the problem of managing multiple temporal versions of an ontology. For example, in the legal and e-Government domains, temporal versions of an ontology are a natural consequence of the dynamics involved in normative systems. To this purpose, we introduce ldquoThe Valid Ontologyrdquo approach, by adapting to OWL-encoded ontologies a versioning scheme we proposed in the past...
In order to obtain the desired information or functionality in the Web, a user often needs to perform multiple interactions with the Web site, e.g. submitting Web forms filled up with appropriate information, and the further execution of such a Web process depends on the information provided by the user in the previous steps of the process. The formal models underlying existing systems for supporting...
As Web 2.0 Websites are now widespread and natural language proposes mature processing methods, using the later to enrich the former opens new possibilities to improve interactions. This paper will show a way of combining natural language processing tools with semantic Web to enhance tagging and mashup functionalities of Web 2.0 Websites.
Access to relevant information adapted to the needs and context of the user is a main challenge in the Internet world. Recent studies have dynamically enhanced the user query with the related user's preferences, which are stored in user's profile for providing personalized results; however, not all user preferences are relevant in all situations. As far as we know, these studies don't take into account...
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