International Workshop on Modular Ontologies最新文献

{"title":"A Metric Suite for Evaluating Cohesion and Coupling in Modular Ontologies","authors":"F. Ensan, W. Du","doi":"10.3233/978-1-60750-544-0-41","DOIUrl":"https://doi.org/10.3233/978-1-60750-544-0-41","url":null,"abstract":"In this paper, we present a set of semantic metrics for measuring cohesion and coupling in modular ontologies. For defining these metrics, we consider the semantic of modular ontologies instead of their syntax. Based on the semantic-based definitions, both explicitly asserted knowledge and the implied knowledge that is derived from the explicitly represented knowledge are considered for ontology evaluation. We validate the introduced metrics based on the Kitchenham metric validation framework.","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127285241","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":"Towards Ontology Use, Re-use and Abuse in a Computational Creativity Collective - A Position Statement","authors":"S. Colton","doi":"10.3233/978-1-60750-544-0-1","DOIUrl":"https://doi.org/10.3233/978-1-60750-544-0-1","url":null,"abstract":"Computational creativity is broadly defined as the study of building software which exhibits behaviour that would be deemed creative if exhibited by a person. In more practical terms, we investigate how to engineer software that takes on some of the creative responsibility in arts and science projects which produce culturally interesting artefacts such as poems, theorems, paintings, melodies, etc. To this end, there are numerous examples of creative software being employed in musical composition, visual arts, pure mathematics , natural language generation, scientific discovery, video game design, and many more areas of discourse. Moreover, the computational creativity community is beginning to come to consensus on some of the thorny research questions that have arisen, such as: which AI processes are more suited to generative applications; how can we measure levels of creativity in software; and what roles can software have in creative acts? Our contributions to computational creativity research have revolved around our two pieces of research software: the HR system [2] and The Painting Fool (www.thepaintingfool.com). The former is mathematical theory formation software which can start with the bare minimum about a domain of pure mathematics, such as how to divide one number by another, and end with a rich theory of concepts, conjectures, theorems and proofs. The latter is an automated painter which we hope will one day be taken seriously as a creative artist in its own right. The majority of software developed by computational creativity researchers – including our own – is given domain knowledge only about its specific area of application. For instance, our HR software is given enough background information about domains of pure mathematics to enable it to invent concepts in those particular domains, but it is not given wider mathematical knowledge and is certainly not provided with information outside the sphere of pure mathematics. This is largely acceptable in domains where there are objective measures of value with which we can assess the artefacts produced by the creative systems. However, we argue in [3] that in certain domains (most noticeably the visual arts), the creativity and intelligence of the creator is taken into account when assessing the value of the artefacts that he/she/it produces. In particular, in such domains, the cultural awareness of the artist may well be questioned when people assess the value of their work. In these situations, there is much need for the kind of knowledge stored in ontologies, …","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114491982","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":"Extracting and Merging Contextualized Ontology Modules","authors":"S. Hussain, S. Abidi","doi":"10.3233/978-1-60750-544-0-25","DOIUrl":"https://doi.org/10.3233/978-1-60750-544-0-25","url":null,"abstract":"Ontology module extraction, from a large ontology, leads to the generation of a specialized knowledge model that is pertinent to specific problems. Existing ontology module extraction methods tend to either render a too generalized or a too restricted ontology module that at times does not capture the entire semantics of the source ontology. We present an ontology module extraction method that extracts a contextualized ontology module whilst extending the semantics of the extracted concepts and their relationships in the ontology module. Our approach features the following tenets (i) identifying the user-selected concepts that are pertinent for the problem-context at hand; (ii) extracting the user-selected concepts, their roles and their individuals; and (iii) extracting other concepts, roles and individuals that are structurally-connected with the user-selected concepts. We apply our ontology module extraction method in the Healthcare domain, and demonstrate (a) extraction of ontology modules from three prostate cancer pathway ontologies; and then (b) merging of extracted ontology modules to generate a comprehensive therapeutic work-flow knowledge for prostate cancer care management.","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"32 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120942925","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":"Modular Upper-Level Ontologies for Semantic Complex Event Processing","authors":"Kia Teymourian, G. Coşkun, A. Paschke","doi":"10.3233/978-1-60750-544-0-81","DOIUrl":"https://doi.org/10.3233/978-1-60750-544-0-81","url":null,"abstract":"Event-driven systems are highly depending on the quality of detection and processing of events. Many of complex real-world events cannot be processed by the existing event processing systems because they are too complex to be understood and processed by the systems. Complex events can be inferred from raw primitive events based on their incoming sequence, their syntax and semantics. Usage of ontological background knowledge about events and their relationship to other non-event concepts can improve the quality of event processing. In this paper, we discuss the profits and problems of ontology developing and usage in the area of event processing and propose modular upper-level ontologies for semantic enabled complex event processing. We discuss, why the modularity is needed and how these ontologies should be modular build up based on ontology engineering aspects to be able to address scalability, expressiveness and reuse.","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121701297","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":"Introducing ontology best practices and design patterns into robotics: USAREnv","authors":"Gabriele Randelli, D. Nardi","doi":"10.3233/978-1-60750-544-0-67","DOIUrl":"https://doi.org/10.3233/978-1-60750-544-0-67","url":null,"abstract":"Systems with knowledge representation and reasoning functionality are quite common within the robotics community. Nevertheless, most of the proposed architectures are ad-hoc implementations, which lack of modularity, standardization, and that cannot be reused or shared among different users. We fill that the Semantic Web effort over the past years in promoting standard representations and ontology best practices should be adopted by the robotic community, to foster the design of more effective and reusable systems, adapt for non expert users in everyday activities. In this paper, we investigate how to integrate ontology best practices and standard representations into the robotic system design, modelling an ontology for a real application field: urban search and rescue robotics. We also discuss the benefits of this methodology for robotic systems, as well as presenting some effective design guidelines.","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124871757","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":"Ontology Modularity, Information Flow, and Interaction-Situated Semantics - Extended Abstract","authors":"M. Schorlemmer","doi":"10.3233/978-1-60750-544-0-5","DOIUrl":"https://doi.org/10.3233/978-1-60750-544-0-5","url":null,"abstract":"Originally, software applications, databases, and expert systems were designed and constructed by a reduced group of software or knowledge engineers, which had overall control of the entire life cycle of IT artifacts. But this time has long gone as software and knowledge engineering practice has shifted from the implementation of custom-made stand-alone systems to component-based engineering; databases are gradually deployed in distributed architectures and subsequently federated; and knowledge-based systems are built by reusing more and more previously constructed knowledge bases and inference engines. Moreover, the distributed nature of IT systems has experienced a dramatic explosion with the arrival and generalised use of the Internet. The World Wide Web, and its ambitious extension, the Semantic Web, has brought an unprecedented global distribution of information in form of hypertext documents, online databases, open-source code, terminological repositories, web services, blogs, etc., which continually challenge the traditional role of IT in our society. As a consequence, modularity has been a necessity for any large-scale engineering task. But, although modularity has been thoroughly studied in software and knowledge engineering, the composition and interaction of IT components at the level of distribution on the Web is still at its infancy, and we are just grasping the scope of this endeavour: Successful IT component interoperability beyond basic syntactic communication is very hard, and our era’s basic commodity around which all IT technology is evolving, namely information, is not yet well understood. The focus of the problem with understanding information is that we need ways with which we can reveal, expose and communicate the semantic aspect of information. As of today, component-based software engineering is a difficult task, still subject of cutting-edge research in computer science; putting together different databases has proved to be successful only for closed environments and under very strong assumptions; the same holds for distributed artificial intelligence applications and interaction in multi-agent systems. While we were staying on entirely syntactic issues, it has been relatively easy to achieve component interoperability. But as soon as we tried to deal with the semantic aspect of information, looking for “intelligent”","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132861330","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":"Mapping Properties of Heterogeneous Ontologies","authors":"Chiara Ghidini, L. Serafini","doi":"10.1007/978-3-540-85776-1_16","DOIUrl":"https://doi.org/10.1007/978-3-540-85776-1_16","url":null,"abstract":"","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132806821","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":"Modeling the Diversity of Spatial Information by Using Modular Ontologies and Their Combinations","authors":"J. Hois","doi":"10.3233/978-1-60750-799-4-71","DOIUrl":"https://doi.org/10.3233/978-1-60750-799-4-71","url":null,"abstract":"","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280487","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":"Constructing an Ontology Repository: A Case Study with Theories of Time Intervals","authors":"Darren Ong, M. Grüninger","doi":"10.3233/978-1-60750-799-4-110","DOIUrl":"https://doi.org/10.3233/978-1-60750-799-4-110","url":null,"abstract":"","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252075","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":"Applying Community Detection Algorithms on Ontologies for Identifying Concept Groups","authors":"G. Coşkun, Mario Rothe, Kia Teymourian, A. Paschke","doi":"10.3233/978-1-60750-799-4-12","DOIUrl":"https://doi.org/10.3233/978-1-60750-799-4-12","url":null,"abstract":"","PeriodicalId":347742,"journal":{"name":"International Workshop on Modular Ontologies","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126507689","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}