Search (497 results, page 24 of 25)

  • × theme_ss:"Wissensrepräsentation"
  1. Leidig, T.: Ontologien für die Informationsintegration in Geschäftsanwendungen (2006) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.347-350
  2. Dirsch-Weigand, A.; Schmidt, I.: ConWeaver : Automatisierte Wissensnetze für die semantische Suche (2006) 0.00 
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    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.367-371
  3. Miller, R.: Three problems in logic-based knowledge representation (2006) 0.00 
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    Footnote
    Beitrag in einem Themenheft: UK library & information schools: UCL SLAIS
  4. Kless, D.; Milton, S.: Comparison of thesauri and ontologies from a semiotic perspective (2010) 0.00 
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    Footnote
    Preprint. To be published as Vol 122 in the Conferences in Research and Practice in Information Technology Series by the Australian Computer Society Inc. http://crpit.com/.
  5. Qin, J.; Creticos, P.; Hsiao, W.Y.: Adaptive modeling of workforce domain knowledge (2006) 0.00 
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    Abstract
    Workforce development is a multidisciplinary domain in which policy, laws and regulations, social services, training and education, and information technology and systems are heavily involved. It is essential to have a semantic base accepted by the workforce development community for knowledge sharing and exchange. This paper describes how such a semantic base-the Workforce Open Knowledge Exchange (WOKE) Ontology-was built by using the adaptive modeling approach. The focus of this paper is to address questions such as how ontology designers should extract and model concepts obtained from different sources and what methodologies are useful along the steps of ontology development. The paper proposes a methodology framework "adaptive modeling" and explains the methodology through examples and some lessons learned from the process of developing the WOKE ontology.
  6. Kruk, S.R.; Westerki, A.; Kruk, E.: Architecture of semantic digital libraries (2009) 0.00 
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    Theme
    Information Gateway
  7. Khalifa, M.; Shen, K.N.: Applying semantic networks to hypertext design : effects on knowledge structure acquisition and problem solving (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1673-1685
  8. Girju, R.; Beamer, B.; Rozovskaya, A.; Fister, A.; Bhat, S.: ¬A knowledge-rich approach to identifying semantic relations between nominals (2010) 0.00 
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    Information processing and management. 46(2010) no.5, S.589-610
  9. Advances in ontologies : Proceedings of the Sixth Australasian Ontology Workshop Adelaide, Australia, 7 December 2010 (2010) 0.00 
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    Footnote
    Preprint. To be published as Vol 122 in the Conferences in Research and Practice in Information Technology Series by the Australian Computer Society Inc. http://crpit.com/.
  10. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.00 
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    Abstract
    This paper presents an overview of the work in progress at the W3C to produce a standard conversion of WordNet to the RDF/OWL representation language in use in the SemanticWeb community. Such a standard representation is useful to provide application developers a high-quality resource and to promote interoperability. Important requirements in this conversion process are that it should be complete and should stay close to WordNet's conceptual model. The paper explains the steps taken to produce the conversion and details design decisions such as the composition of the class hierarchy and properties, the addition of suitable OWL semantics and the chosen format of the URIs. Additional topics include a strategy to incorporate OWL and RDFS semantics in one schema such that both RDF(S) infrastructure and OWL infrastructure can interpret the information correctly, problems encountered in understanding the Prolog source files and the description of the two versions that are provided (Basic and Full) to accommodate different usages of WordNet.
  11. Wunner, T.; Buitelaar, P.; O'Riain, S.: Semantic, terminological and linguistic interpretation of XBRL (2010) 0.00 
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    Abstract
    Standardization efforts in fnancial reporting have led to large numbers of machine-interpretable vocabularies that attempt to model complex accounting practices in XBRL (eXtended Business Reporting Language). Because reporting agencies do not require fine-grained semantic and terminological representations, these vocabularies cannot be easily reused. Ontology-based Information Extraction, in particular, requires much greater semantic and terminological structure, and the introduction of a linguistic structure currently absent from XBRL. In order to facilitate such reuse, we propose a three-faceted methodology that analyzes and enriches the XBRL vocabulary: (1) transform semantic structure by analyzing the semantic relationships between terms (e.g. taxonomic, meronymic); (2) enhance terminological structure by using several domain-specific (XBRL), domain-related (SAPTerm, etc.) and domain-independent (GoogleDefine, Wikipedia, etc.) terminologies; and (3) add linguistic structure at term level (e.g. part-of-speech, morphology, syntactic arguments). This paper outlines a first experiment towards implementing this methodology on the International Financial Reporting Standard XBRL vocabulary.
  12. Sartori, F.; Grazioli, L.: Metadata guiding kowledge engineering : a practical approach (2014) 0.00 
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    Series
    Communications in computer and information science; 478
  13. Amarger, F.; Chanet, J.-P.; Haemmerlé, O.; Hernandez, N.; Roussey, C.: SKOS sources transformations for ontology engineering : agronomical taxonomy use case (2014) 0.00 
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    Communications in computer and information science; 478
  14. Muljarto, A.-R.; Salmon, J.-M.; Neveu, P.; Charnomordic, B.; Buche, P.: Ontology-based model for food transformation processes : application to winemaking (2014) 0.00 
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    Communications in computer and information science; 478
  15. Xu, Y.; Li, G.; Mou, L.; Lu, Y.: Learning non-taxonomic relations on demand for ontology extension (2014) 0.00 
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    Abstract
    Learning non-taxonomic relations becomes an important research topic in ontology extension. Most of the existing learning approaches are mainly based on expert crafted corpora. These approaches are normally domain-specific and the corpora acquisition is laborious and costly. On the other hand, based on the static corpora, it is not able to meet personalized needs of semantic relations discovery for various taxonomies. In this paper, we propose a novel approach for learning non-taxonomic relations on demand. For any supplied taxonomy, it can focus on the segment of the taxonomy and collect information dynamically about the taxonomic concepts by using Wikipedia as a learning source. Based on the newly generated corpus, non-taxonomic relations are acquired through three steps: a) semantic relatedness detection; b) relations extraction between concepts; and c) relations generalization within a hierarchy. The proposed approach is evaluated on three different predefined taxonomies and the experimental results show that it is effective in capturing non-taxonomic relations as needed and has good potential for the ontology extension on demand.
  16. Krötzsch, M.; Hitzler, P.; Ehrig, M.; Sure, Y.: Category theory in ontology research : concrete gain from an abstract approach (2004 (?)) 0.00 
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    Abstract
    The focus of research on representing and reasoning with knowledge traditionally has been on single specifications and appropriate inference paradigms to draw conclusions from such data. Accordingly, this is also an essential aspect of ontology research which has received much attention in recent years. But ontologies introduce another new challenge based on the distributed nature of most of their applications, which requires to relate heterogeneous ontological specifications and to integrate information from multiple sources. These problems have of course been recognized, but many current approaches still lack the deep formal backgrounds on which todays reasoning paradigms are already founded. Here we propose category theory as a well-explored and very extensive mathematical foundation for modelling distributed knowledge. A particular prospect is to derive conclusions from the structure of those distributed knowledge bases, as it is for example needed when merging ontologies
  17. Wang, Y.; Tai, Y.; Yang, Y.: Determination of semantic types of tags in social tagging systems (2018) 0.00 
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    Abstract
    The purpose of this paper is to determine semantic types for tags in social tagging systems. In social tagging systems, the determination of the semantic type of tags plays an important role in tag classification, increasing the semantic information of tags and establishing mapping relations between tagged resources and a normed ontology. The research reported in this paper constructs the semantic type library that is needed based on the Unified Medical Language System (UMLS) and FrameNet and determines the semantic type of selected tags that have been pretreated via direct matching using the Semantic Navigator tool, the Semantic Type Word Sense Disambiguation (STWSD) tools in UMLS, and artificial matching. And finally, we verify the feasibility of the determination of semantic type for tags by empirical analysis.
  18. Gayathri, R.; Uma, V.: Ontology based knowledge representation technique, domain modeling languages and planners for robotic path planning : a survey (2018) 0.00 
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    Abstract
    Knowledge Representation and Reasoning (KR & R) has become one of the promising fields of Artificial Intelligence. KR is dedicated towards representing information about the domain that can be utilized in path planning. Ontology based knowledge representation and reasoning techniques provide sophisticated knowledge about the environment for processing tasks or methods. Ontology helps in representing the knowledge about environment, events and actions that help in path planning and making robots more autonomous. Knowledge reasoning techniques can infer new conclusion and thus aids planning dynamically in a non-deterministic environment. In the initial sections, the representation of knowledge using ontology and the techniques for reasoning that could contribute in path planning are discussed in detail. In the following section, we also provide comparison of various planning domain modeling languages, ontology editors, planners and robot simulation tools.
  19. Banerjee, D.; Ghosh, S.S.; Mondal, T.M.: OnE : an ontology evaluation framework (2020) 0.00 
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    Abstract
    A comprehensive set of evaluation criteria, named OnE, for evaluating ontologies has been proposed in this paper. Each criterion of OnE has been defined in a way such that together they are capable of evaluating any ontology from all aspects. The process of using OnE for evaluation has been demonstrated by evaluating chemical ontologies. Also, for this purpose, an ontology on the domain of agricultural chemicals has been constructed by following the human-centric faceted approach for ontology construction (HCFOC) and has been evaluated using OnE. The results obtained after the evaluation has provided insights about the ontologies. The constructed ontology aims to support any information system trying to support farmers in the process of decision making while selecting chemicals for use in agriculture. Also, it is envisaged that the demonstrated ontology and the set of evaluation criteria named OnE will redefine ontology evaluation and make it easy while making a strong impact on ontology developers.
  20. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 75(2023) no.2, S.167-187

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