Domain Ontology Research Papers - Academia.edu (original) (raw)

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- Information Systems, Design Research, Electronic Markets, Service management
- by Robert Mckay
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- Ontology, Principal Component Analysis, Comparative Study, Feature Selection
- by Vijayan Sugumaran
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- Semantic Web, Search Engine, World Wide Web, Semantic Information
- by Sergio Miranda
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- Knowledge Representation, IEEE, Learning Object, Knowledge Extraction
- by Mariângela Vanzin
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- Data Mining, Case Study, Web Usage Mining, Semantic gap
- by Mark Musen
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- Information Systems, Knowledge Based System, Computer Software, Knowledge Acquisition
- by Raul Romero
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- Semantic Web, Virtual Worlds, Virtual Reality, Conceptual Model
- by Rodina Ahmad
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- Software Engineering, Natural Language Processing, Data Mining, NLP

This paper presents an ontology-based framework aimed at explicit representation of context-specific metadata derived from the actual usage of learning objects and learning designs. The core part of the proposed framework is a learning object context ontology, that leverages a range of other kinds of learning ontologies (eg, user modeling ontology, domain ontology, and learning design ontology) to capture the information about the real usage of a learning object inside a learning design. We also present some learner ...

- by H. Sofia Pinto
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- Computer Science, Ontology, Knowledge Reuse, Domain Ontology
- by Asunción Gómez-pérez and +1
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- Knowledge Reuse, Lecture notes, Domain Ontology, Boolean Satisfiability

This article explores the domain of international entrepreneurship (IE) research by thematically mapping and assessing the intellectual territory of the field. Extant reviews show that the body of IE knowledge is growing, and while notable contributions towards theoretical and methodological integration are evident, the field is described as phenomenally based, potentially fragmented and suffering from theoretical paucity. Premising that IE is positioned at the nexus of internationalization and entrepreneurship where entrepreneurial behavior involves cross-border business activity, or is compared across countries, we identify 323 relevant journal articles published in the period 1989–2009. We inventory the domain of IE to provide a relevant and comprehensive organization of its research. This involves examining the subject matter of IE research, and inductively synthesizing and categorizing it into major themes and sub-themes. In so doing, we offer a reliable, ontologically constructed and practically useful resource. From this base, we discuss the phenomena, issues, inconsistencies and interim debates on which new theory in IE may be built and research may be conducted. We conclude that IE has several coherent thematic areas and is rich in potential for future research and theory development.► We review, thematically map and assess the intellectual territory of IE research. ► We construct a comprehensive ontological inventory of IE research (1989–2009). ► We provide a fully documented methodology for future replication. ► Criticism of IE as fragmented and lacking in unifying paradigms is premature. ► We conclude that IE is diverse and growing in coherence and is rich in theoretical potential.

- by Marian Jones
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- Marketing, Ontology, Business and Management, Thematic Maps

Modern enterprise consists of complicate business processes and systems. The Enterprise Service-Oriented Architecture (ESOA) becomes an important architectural style that defines the principles for coping with the complexity of designing and implementing business systems. This paper classifies ESOA styles to six substyles and proposes a generic and abstract model for ESOA styles. The model consists of seven sets: services, service consumers, service data, infrastructure, processes, management and quality attributes. This paper formally defines each set and their relationships in ESOA style model, and discusses the roles of these sets. The model can be applied to specify various ESOA styles. As case studies, the definition of instance of ESOA style is applied to analyze and evaluate a Java component-based ESOA-style architecture and several other ESOA-style architectures. Finally, this paper concludes by comparing the proposed model with related ESOA models.

- by Griff Richards
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- Decision Table, User profile, ISWC, Rule Based Fuzzy Inference

This paper discusses the main issues encountered in the design of a domain ontology to represent ancient literary texts that survive only in fragments, i.e. through quotations embedded in other texts. The design approach presented in the paper combines a knowledge domain analysis conducted through semantic spaces with the integration of well established ontologies and the application of ontology design patterns. After briefy describing the specifc meaning of “fragment” in a literary context, the paper gives insights into the main conceptual issues of the ontology design process. Lastly, it outlines the overall architecture of protocols, services and data repositories which is required to implement a digital edition of fragments based on the proposed ontology.

- by Monica Berti
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- Computer Science, Ontology, Digital Libraries, Digital Library
- by Konstantinos Tarabanis
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- Public Administration, Semantic Web, Modeling Language, SCC

Abstract. Domain ontology building is one of the most critical activities required in Semantic Web applications. The task must be performed by domain experts, who do not (generally) have the background of a knowledge engineer. To ease this task, Ontology Management Systems (such as Kaon, Protégé, OntoEdit, Athos) are developing user friendly interfaces. However the problem is mainly of a cognitive nature. Difficulties comes from the fact that the existing ontology languages: (i) are hard to be used by unskilled people, (ii) have very basic constructs (e.g., class, property), (iii) are not domain specific, i.e., they are conceived for very diverse contexts (e.g., from medical sector to high energy physics). OPAL (Object, Process, Actor modelling Language) aims at supporting business experts who need to build an ontology by providing a limited number of high level conceptual templates.

- by francesco taglino
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- Computer Science, Ontology, Design Patterns, High Energy Physics

Domain ontologies are the cornerstone of informatics systems. Like their philosophical counterparts, they aim at providing a shared representation (language) for the concepts within a domain of knowledge. Ontologies are related more to knowledge representation rather than reasoning. Consequently, they normally can be complemented by artificial intelligence tools to enhance their decision support capabilities. This paper presents an ontology that is an abstract (yet extendable) philosophical (yet practical) conceptualization of the essence of knowledge that relates to construction aspects of infrastructure products. A product is the outcome of any work process and includes physical products, decisions, abstract knowledge and knowledge items generated based on all of these. A set of related constraints, mechanism, actors and process are identified along with these products. Product attributes and modalities are also presented to help describe the behavior of these products and support the generation of types or classes of these products.► A domain ontology is developed for representing infrastructure products. ► Subject matter experts confirmed the suitability of the ontology. ► Ontology extendibility is proven through creation of an application ontology.

- by Tamer El-Diraby
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- Engineering, Ontology, Knowledge Management, Knowledge Representation
- by Diana Maynard
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- Data Mining, Business Intelligence, Information Extraction, Information Integration
- by Carl Taswell
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- Engineering, Semantics, Computational Biology, XML
- by Gerhard Wohlgenannt and +1
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- Processing Speed, Optimal Stopping, Text Analysis, Data acquisition

Arabic is the official language of hundreds of millions of people in twenty Middle East and northern African countries, and is the religious language of all Muslims of various ethnicities around the world. Surprisingly little has been done in the field of computerised language and lexical resources. It is therefore motivating to develop an Arabic (WordNet) lexical resource that discovers

- by Christiane Fellbaum
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- Formal Semantics, Arabic wordnet, Domain Ontology, First Order Logic
- by Simone Marchi
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- Natural Language Processing, Case Study, Natural language, Pattern Matching
- by Jelena Jovanović
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- Information Retrieval, Instructional Design, Semantics, Metadata
- by Dorte Hansen and +1
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- Human Language Technology, Domain Specificity, Domain Ontology
- by Elizabeth Chang
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- Software Engineering, Project Management, Semantics, Multiagent Systems
- by Christos Emmanouilidis and +2
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- Condition Monitoring, Incremental learning, Condition Based Maintenance, Domain Ontology

In this paper we describe a powerful use case application in the area of emergency situations management in which to illustrate the benefits of a system based on Semantic Web Services (SWS), through the automation of the business processes involved. After creating Web services to provide spatial data to third parties through the Internet, semantics and domain ontologies were added to represent the business processes involved, allowing: ease of access and combination of heterogeneous data from different providers; and ...

- by Sandra Stincic Clarke and +1
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- Emergency Management, Process Integration, ISWC, Semantic Web Service Composition

Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particular user based on that user's interests and preferences. Effective personalization of information access involves two important challenges: accurately identifying the user context, and organizing the information in such a

- by Robin Burke and +1
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- Information Retrieval, Web Mining, Web search, Information Access

The knowledge about software organizations is considerably relevant to software engineers. The use of a common vocabulary for representing the useful knowledge about software organizations involved in software projects is important for several reasons, such as to support knowledge reuse and to allow communication and interoperability between tools. Domain ontologies can be used to define a common vocabulary for sharing and reuse of knowledge about some domain. Foundational ontologies can be used for evaluating and re-designing domain ontologies, giving to these real-world semantics. This paper presents an evaluating of a Software Enterprise Ontology that was reengineered using the Unified Foundation Ontology (UFO) as basis.

- by Ricardo Falbo
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- Software Engineering, Knowledge Reuse, Domain Ontology
- by George Rzevski
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- Data Mining, Text Mining, Agent Technology, Semantic Network

Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper concentrates on the benefits of recommending news items using a domain ontology instead of using a term-based approach. For this purpose, we propose Athena, which is an extension to the existing Hermes framework. Athena employs a user profile to store terms or concepts found in news items browsed by the user. Based on this information, the framework uses a traditional method based on TF-IDF, and several ontology-based methods to recommend new articles to the user. The paper concludes with the evaluation of the different methods, which shows that the new ontology-based method that we propose in this paper performs better (w.r.t. accuracy, precision, and recall) than the traditional method and, with the exception of one measure (recall), also better than the other considered ontology-based approaches.

- by Flavius Frasincar
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- Ontology, User profile, Recommender System, Domain Ontology

To allow for a direct connection of this linguistic information for terms with corresponding classes and properties in a domain ontology, we developed a lexicon model (LingInfo) that enables the definition of LingInfo instances (each of which represents a term) for each class or property. The LingInfo model is represented by use of a meta-class, which allows for the representation of LingInfo instances with each class, where each LingInfo instance represents the linguistic features of a term for a particular class. Applications of ...

- by Daniel Sonntag and +1
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- Information Extraction, Knowledge Acquisition, Knowledge base, Domain Ontology
- by Roger Nkambou and +1
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- Natural Language Processing, Machine Learning, Organizational Memory, Knowledge Based System

Nowadays ontologies present a growing interest in Data Fusion applications. As a matter of fact, the ontologies are seen as a semantic tool for describing and reasoning about sensor data, objects, relations and general domain theories. In addition, uncertainty is perhaps one of the most important characteristics of the data and information handled by Data Fusion. However, the fundamental nature of ontologies implies that ontologies describe only asserted and veracious facts of the world. Different probabilistic, fuzzy and evidential approaches already exist to fill this gap; this paper recaps the most popular tools. However none of the tools meets exactly our purposes. Therefore, we constructed a Dempster-Shafer ontology that can be imported into any specific domain ontology and that enables us to instantiate it in an uncertain manner. We also developed a Java application that enables reasoning about these uncertain ontological instances.

- by Sylvain Gatepaille
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- Dempster-Shafer Analysis, Domain Theory, Artificial Intelligent, Data Fusion
- by Rafael Batres
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- Mechanical Engineering, Chemical Engineering, Process Engineering, Domain Ontology

Abstract. Web services have become the predominant paradigm for the development of distributed software systems. Web services provide the means to modularize software in a way that functionality can be described, discovered and deployed in a platform independent manner over a network (e.g., intranets, extranets and the Internet). The representation of web services by current industrial practice is predominantly syntactic in nature lacking the fundamental semantic underpinnings required to fulfill the goals of the emerging Semantic Web. This paper proposes a framework aimed at (1) modeling the semantics of syntactically defined web services through a process of interpretation, (2) scoping the derived concepts within domain ontologies, and (3) harmonizing the semantic web services with the domain ontologies. The framework was validated through its application to web services developed for a large financial system. The worked example presented in this paper is extracted from the semant...

- by Sergio de Cesare
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- Computer Science, Ontology, Semantics, Modeling
- by Chrisa Tsinaraki
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- Software Engineering, Ontology, Semantics, Multimedia
- by Charles Trappey
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- Ontology, Knowledge Management, Production, Neural Network
- by Hanjo Jeong
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- Data Mining, XML, Web Services, Semantic Web

In the economic and financial analysis domain, quick access to the right information plays a major role. Using current systems, the search for and presentation of data is very cumbersome. The data, mostly in form of time-series, is stored in various databases. In order to retrieve the searched data, the analysts need to know where to search and sometimes even the structure of the database and its coding. Then it is required to export the data, process the data and create a chart to view the data. This might take time from tens of minutes to hours. In our work we present a first prototype of an integrated search engine that takes as input a natural language query and offers graphic and text output depending on the user task. The system automatically identifies the resulting time-series and types of graphical data presentation, and shows the results in a web browser or in Excel. The knowledge based expert system uses domain ontologies for extraction of economic terms in the search queries and specially built data type taxonomies with user task and chart type ontologies for the identification of graphical output.

- by Tatiana von Landesberger
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- Time Series, Financial Analysis, Natural language, expert System