Conflict ontology enrichment based on triggers (original) (raw)
Related papers
2015
In this paper, we propose an ontology-based approach that enables to detect the emergence of relational conflicts between persons that cooperate on computer supported projects. In order to detect these conflicts, we analyze, using this ontology, the e-mails exchanged between these people. Our method aims to inform project team leaders of such situation hence to help them in preventing serious disagreement between involved employees. The approach we present builds a domain ontology of relational conflicts in two phases. First we conceptualize the domain by hand, then we enrich the ontology by using the trigger model that enables to find out terms in corpora which correspond to different conflicts.
Lecture Notes in Computer Science, 2009
In Computer Supported Cooperative Work (CSCW), it is crucial for project leaders to detect conflicting situations as early as possible. Generally, this task is performed manually by studying a set of documents exchanged between team members. In this paper, we propose a full-fledged automatic solution that identifies documents, subjects and actors involved in relational conflicts. Our approach detects conflicts in emails, probably the most popular type of documents in CSCW, but the methods used can handle other text-based documents. These methods rely on the combination of statistical and ontological operations. The proposed solution is decomposed in several steps: (i) we enrich a simple negative emotion ontology with terms occuring in the corpus of emails, (ii) we categorize each conflicting email according to the concepts of this ontology and (iii) we identify emails, subjects and team members involved in conflicting emails using possibilistic description logic and a set of proposed measures. Each of these steps are evaluated and validated on concrete examples. Moreover, this approach's framework is generic and can be easily adapted to domains other than conflicts, e.g. security issues, and extended with operations making use of our proposed set of measures.
Identifying Conflicts through eMails by using an Emotion Ontology
2009
In the logic of text classification, this paper presents an approach to detect emails conflict exchanged between colleagues, who belong to a geographically distributed enterprise. The idea is to inform a team leader of such situation, hence to help him in preventing serious disagreement between team members. This approach uses the vector space model with TF*IDF weight to represent email; and a domain ontology of relational conflicts to determine its categories. Our study also addresses the issue of building ontology, which is made up of two phases. First we conceptualize the domain by hand, then we enrich it by using the triggers model that enables to find out terms in corpora which correspond to different conflicts.
Detection of semantic conflicts in ontology and rule-based information systems
Data & Knowledge Engineering, 2010
Nowadays, managers of information systems use ontologies and rules as a powerful tool to express the desired behaviour for the system. However, the use of rules may lead to conflicting situations where the antecedent of two or more rules is fulfilled, but their consequent is indicating contradictory facts or actions. These conflicts can be categorised in two different groups, modality and semantic conflicts, depending on whether the inconsistency is owing to the rule language expressiveness or due to the nature of the actions. While there exist certain proposals to detect and solve modality conflicts, the problem becomes more complex with semantic ones. Additionally, current techniques to detect semantic conflicts are usually not considering the use of standard information models. This paper provides a taxonomy of semantic conflicts, analyses the main features of each of them and provides an OWL/SWRL modelling for certain realistic scenarios related with information systems. It also describes different conflict detection techniques that can be applied to semantic conflicts and their pros and cons. Finally, this paper provides a comparison of these techniques based on performance measurements taken in a realistic scenario and suggests a better approach. This approach is then used in other scenarios related with information systems and where different types of semantic conflicts may appear. j o u r n a l h o m e p a g e : w w w. e l s ev i e r. c o m / l o c a t e / d a ta k
Prototype of a Framework for Ontology-aided semantic conflict resolution in enterprise integration
2015
Enterprise integration carries the need for resolution of various semantic conflicts. These conflicts come in many forms and each of those may appear in a different context. Conflict detection and resolution can be made easier if a semantic description of the involved systems is available. We have developed a prototype, based on existing software Talend Open Studio ESB, for a framework where a user may attach an ontology to interface elements and have those interfaces mapped automatically. We present how this prototype was tested on a scenario for which a solution was previously developed manually at Model Labs GmbH/PI Informatik GmbH, Berlin.
A Collaborative Development Environment for Ontologies (CODE)
2003
ABSTRACT Resolving conceptual conflicts between formalized ontologies is likely to become a major engineering problem as ontologies move into widespread use on the semantic web. We believe that in the immediate and medium-term future, conflict resolution will require the use of human collaboration, and cannot be achieved by automated methods except in simple cases.
1996
In this work a goal-based notion of conflict is presented. Various kinds of conflict, including meta-level conflict, are identified. Psychological conflicts are distinguished from "internal conflicts", and the famous Lewin's typology is reconsidered. Internal conflict and choice are disentangled. Social conflict, tendency to hostility and aggression are explained on the basis of "competition". General principles/processes of both internal and social conflict resolution are presented.
Assessing conflicts in ontologies
2004
We present a method to assess the possible conflict of beliefs in ontologies. Those beliefs represent for example the assessment of an ontology in regard to some goal, i.e. hydrologists may assess a flooding ontology only with maximum flood protection in mind where a politician considers more monetary issues. These different beliefs lead to different interpretations or semantics of the ontology which in turn results in a conflict between them. The method we present for measuring this conflict is based upon the concept of entropy and relative entropy.
Conflict resolution in the collaborative design of terminological knowledge bases
2000
Abstract. Designing a terminological knowledge base consists in collecting terms and associating them to their definition. Our objective is to define a process model to support this design task in a collaborative work environment. The proposed concept model is based on terminological logic and the issue-based model IBIS. The terminological logic part is intended to formally express definitions and associate them to terms and points of view. The process model we define is based on a cyclic conflict resolution process.
Restricting Search Domains to Refine Data Analysis in Semantic-Conflict Identification
This paper describes heuristics for identifying semantic conflicts in large, heterogeneous, distributed, and federated databases in which the combinatorics of comparisons become an issue. Data can be divided along several dimensions and the search space for conflicts can be narrowed considerably. The paper considers various search criteria, such as frequency of use, importance of data and error correction, ability to fix, and data categories. Tradeoffs in reducing the search domain and the relationship of this work to other areas of computer science also are described. The paper concludes with a discussion of future directions and applications.