Due to the absence of a comprehensive knowledge system for modeling ocean circulation, there is ambiguity and diversity in semantic expression circulation. This makes it difficult organize share relevant spatiotemporal data effectively. paper addresses issue circulation by introducing ontological theory methodology based on analysis domain knowledge. Through conceptual relational characteristic...

Authoring of OWL-DL ontologies is intellectually challenging and to make this process simpler, many systems accept natural language text as input. A text-based ontology authoring approach can be successful only when it is combined with an effective method for extracting ontological axioms from text. Extracting axioms from unrestricted English input is a substantially challenging task due to the...

The ambiguity around model-based science is witnessed by the proliferation of meanings of the term business model. We argue that a clearer specification of the analytical, theoretical and ontological validity of models is an opportunity to learn about and understand complex organizational phenomena more systematically. We apply this to research on social entrepreneurship and pro-poor business m...

Knowledge Sharing is a crucial issue in the Semantic Web: SW services expose and share knowledge content which arise from distinct languages, locales, and personal perspectives; a great effort has been spent in these years, in the form of Knowledge Representation standards and communication protocols, with the objective of acquiring semantic consensus across distributed applications. However, n...

Decision tables are a widely used knowledge management tool in the decision making process. Ambiguity and conceptual reasoning difficulties arise while designing large decision tables in a collaborative environment. We introduce the notion of Semantic Decision Table (SDT), which enhances a decision table with explicit decision semantics by annotating it properly with a domain ontology. In this ...

Our general objective is to explain how norms can emerge in complex, ambiguous situations: settings with large and complex spaces of normative options over which populations may try to agree using only limited, indirect knowledge of each others’ currently preferred options, possibly gained through limited interaction samples. We study this process using the concrete example of agents developing...

Ontologies represent rich semantics in a lexical way. Lexical labels are used to identify concepts and relationships, though there is no bijective mapping between them. Phenomenons such as synonyms and homonyms exemplify this, and can result in frustrating misunderstanding and ambiguity. In the elicitation and application of ontologies, the meaning of the ontological knowledge is dependent on t...

Process fragmentation provides the basis for re-usability and process improvement. Various re-searchers have already introduced different definitions for what constitutes a reasonable process fragment, and have offered algorithmic support for identifying such fragments. As we will show in this paper, some of these definitions suffer from ambiguity or imprecision. Therefore, the objectives of th...

Modern business process modeling languages such as BPMN or EPC provide users with more constructs to represent real world situations than their predecessors such as IDEF or Petri Nets. But this apparent increase in expressiveness is accompanied by an increase in language complexity. In practice many organizations choose to only use a subset of the available modeling constructs. Using a wellesta...

There has been increased work in developing automated systems that involve natural language processing (NLP) to recognize and extract genomic information from the literature. Recognition and identification of biological entities is a critical step in this process. NLP systems generally rely on nomenclatures and ontological specifications as resources for determining the names of the entities, a...