Intelligent Decision Technologies-Netherlands最新文献

{"title":"Guest-editorial: Special issue title on engineering and management of IDTs for knowledge management systems","authors":"Leonardo Garrido, F. Cervantes-Pérez, Cleotilde González, M. Mora","doi":"10.3233/IDT-2010-0065","DOIUrl":"https://doi.org/10.3233/IDT-2010-0065","url":null,"abstract":"An ongoing and main challenge for intelligent decision technologies is the need to support knowledgeintensive tasks that usually are surging in multiple domains of applications such as manufacture [13], finance and insurance [10], and generic knowledge-based service business [12]. Engineering and management systems have relied on knowledge generated from several related areas including Decision Support Systems, Artificial Intelligence and Operations Research. Most recently, in the last decade, a business management perspective realized through Knowledge Management (KM) approach has been incorporated to this research stream driven by a knowledge-based services economy [9,11]. Thus, a new type of IT system called Knowledge Management System (KMS) [2] has emerged to leverage “professional and managerial activities by focusing on creating, gathering, organizing, and disseminating an organization’s “knowledge” as opposed to “information” or “data” (idem, p. 1). While KMS are engineered and managed by using multiple IT, we consider relevant the development of KMS based on intelligent decision technologies and the enhancement of the decision-making process [6]. Through following the seminal directions [7,8] established by the eminent AI scientists Herbert A. Simon (1916–2001) and Alan Newell (1927–1992), and the system’s emergent property established by the Theory of Systems [1,4], we support also the notion of a “distinct computer systems level, lying immediately above the symbol level, which is characterized by knowledge as the medium and the principle of rationality as the law of behavior” (Newell, p. 7) as a core conceptualization for the realization of such KMS. We believe that the five invited and peer-reviewed research papers in this special issue in “Engineering and Management of IDTs for Knowledge Management Systems”, advance our scientific knowledge on the state of the art of intelligent knowledge management systems in a context of decision-making process. One research paper reports an improved algorithm for an automatic joint of knowledge stored via ontologies. Three another research papers analyze deeply the KMS support challenges and the KMS emergent simulation-based design architectures and paradigms. Finally, a fifth paper, reviews the state of the art of KMS focused on the particular problem of improving the utilization of standards and models of process in the context of software and systems engineering. In first paper, titled “Automatic Fusion of knowledge stored in Ontologies”, Dr. Alma-Delia Cueva and Professor Adolfo Guzmán-Arenas (Computer Research Center, Instituto Politecnico Nacional, México), investigate the knowledge fusion problem which is a seamless process in human beings. However, for an automated system, authors report that algorithms of ontologies fusion lack of critical features such as the processing of synonyms, homonyms, redundancies, apparent contradictions, and inconsistencies. Authors, consequently presents a new ","PeriodicalId":43932,"journal":{"name":"Intelligent Decision Technologies-Netherlands","volume":"57 1","pages":"1-3"},"PeriodicalIF":1.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90866493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A web usage mining algorithm for web personalization","authors":"PicarielloAntonio, SansoneCarlo","doi":"10.5555/1515884.1515887","DOIUrl":"https://doi.org/10.5555/1515884.1515887","url":null,"abstract":"The explosive growth of the web is at the basis of the great interest into web usage mining techniques in both the commercial and academic communities. This paper presents a classification algorith...","PeriodicalId":43932,"journal":{"name":"Intelligent Decision Technologies-Netherlands","volume":"7 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78303750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent control of an autonomous cooperative of UAVs","authors":"A. Finn, S. Drake","doi":"10.3233/IDT-2007-11-205","DOIUrl":"https://doi.org/10.3233/IDT-2007-11-205","url":null,"abstract":"One vision for the future battlespace comprises cooperatives of uninhabited vehicles working seamlessly together and with manned vehicles in an adversarial environment. This provides the future warfighter with the potential to extend his reach and access into areas intentionally denied to him. Realisation of this vision clearly requires significant scientific advances to be made in a number of areas. Moreover, it also implies complete autonomy, whereas in reality humans are likely to be retained within the decision-making cycle, issuing high-level directions, managing uncertainty, and injecting a degree of flexibility and creativity into the system. This paper outlines a number of challenges that the Defence Science & Technology Organisation DSTO, which is part of the Australian Department of Defence, anticipates it will have to overcome as it develops an experimental capability similar to the one described above. The capability under development employs small, inexpensive Uninhabited Air Vehicles UAVs to detect, identify, locate, track, and electronically engage ground-based targets such as radars. These UAVs have the capacity to act autonomously and cooperatively and rely upon a heterogeneous mix of relatively unsophisticated Electronic Warfare EW receivers to observe and engage with their adversarial environment. The information observed and shared by this autonomous, adaptive and geographically distributed set of UAVs provides a situational awareness picture that can then be shared across the command echelons. The paper also provides a brief overview of the current status of the DSTO program and the results of some recent trials.","PeriodicalId":43932,"journal":{"name":"Intelligent Decision Technologies-Netherlands","volume":"2 1","pages":"49-62"},"PeriodicalIF":1.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83202960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}