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- 3 creator anna-goy.
- 3 creator diego-magro.
- 3 type InProceedings.
- 3 label "The Business Knowledge for Customer Relationship Management: an Ontological Perspective".
- 3 sameAs 3.
- 3 abstract "This paper presents some results of an ongoing ontological analysis of the CRM field. In particular, it describes a fragment of O-CREAM, an ontology for CRM based on DOLCE and on other three DOLCE-based modules, i.e. DnS (for the representation of roles and for handling reification), OIO (for modeling information objects, the key concept for representing business knowledge), and OoP (whose notions are used to express the derivation of new business knowledge). Since the business knowledge plays a major role within CRM activities, a significant fragment of O-CREAM is devoted to the formal characterization of notions related to business knowledge; such a fragment is the focus of this paper.".
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- 3 keyword "Business Knowledge".
- 3 keyword "Customer Relationship Management".
- 3 keyword "Formal Modeling".
- 3 keyword "Ontologies".
- 3 keyword "Semantic Technologies".
- 3 title "The Business Knowledge for Customer Relationship Management: an Ontological Perspective".
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- 5 creator hande-zirtiloglu.
- 5 creator pinar-yolum.
- 5 type InProceedings.
- 5 label "Ranking Semantic Information for E-Government: Complaints Management".
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- 5 abstract "Complaints management is an important application of E-government. Collecting, combining, and ranking citizens' complaints is necessary for effective management. Existing complaints management applications expect the government officials to process each complaint one by one to decide which complaint should be dealt with first. This is time consuming and thus ineffective. To cope with this, we are developing an ontology-based complaints management system to manage complaints. We have developed a complaints ontology with which the complaints of the citizens can be expressed. Further, by specifying constraints on the complaints, the officials can specify which type of complaints are more important than others. We then apply these constraints on the citizens' complaints using a reasoner. This allows us to prioritize the complaints automatically and rank them based on importance. The government officials can then process the ranked list, knowing that they are dealing with the most urgent complaint at any given time.".
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- 5 keyword "Answer Set Programming".
- 5 keyword "E-Government".
- 5 keyword "Ontologies".
- 5 title "Ranking Semantic Information for E-Government: Complaints Management".
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- 6 creator jan-nemrava.
- 6 creator jan-rauch.
- 6 creator jiri-splichal.
- 6 creator marek-nekvasil.
- 6 creator martin-ralbovsky.
- 6 creator tomas-kliegr.
- 6 creator tomas-vejlupek.
- 6 creator vojtech-svatek.
- 6 type InProceedings.
- 6 label "Semantic Annotation and Linking of Competitive Intelligence Reports for Business Clusters".
- 6 sameAs 6.
- 6 abstract "Competitive intelligence (CI) is a sub-discipline of business intelligence that supports the decision makers in understanding the competitive environment by means of textual reports prepared based on public resources. CI is particularly demanding in the context of larger business clusters. We report on a long-term project featuring large-scale manual semantic annotation of CI reports wrt. business clusters in several industries. The underlying ontologies are the result of collaborative editing by multiple student teams. The results of annotation are finally merged into CI maps that allow easy access to both the original documents and the knowledge structures.".
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- 6 keyword "Collaborative Annotation".
- 6 keyword "Competitive Intelligence".
- 6 keyword "Ontology Engineering".
- 6 keyword "Topic Maps".
- 6 title "Semantic Annotation and Linking of Competitive Intelligence Reports for Business Clusters".
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