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The purpose of this paper is to identify the benefits of an approach in which document management systems (DMSs) are based on a formal and explicit document model, primarily in terms of facilitating domain-specific customization.

Within this paper, a generic document model is proposed. The model consists of two layers. A general purpose layer, which represents common features of the documents, and a domain-specific layer, modeling properties particular to application domain. The general purpose layer is based on ISO 82045, providing high degree of interoperability with other systems developed with respect to this set of standard.

Splitting document model into the layers enables DMSs to be tailored for each particular domain of application, depending on the general purpose layer. The existence of domain-specific layer allows documents to be interpreted differently in different domains of application.

In order to enable customization of DMS for a particular domain, the implementation of domain-specific document layer is required. Also, the proposed model does not explicitly deal with document dynamics.

The proposed document ontology is general enough to provide the representation of documents not depending on a specific scope of application, yet flexible enough to enable extensions through which domain-specific document features can be expressed. The separation of document model enables development of core DMS offering services relying explicitly on the general purpose layer on one hand, as well as domain-specific customization of DMS on the other.

This research seeks to explore the potential of ontologies for reorganizing e‐document management in public administration with the aim of supporting administration in organizing cross‐organizational document and information management.

Since ontologies are suitable for organizing metadata for annotation of informational resources, the research question is: How can public administrations make use of ontologies for organizing and improving their e‐document management? Findings, based on an action research project in the state administration of Schleswig‐Holstein (Germany).

The research findings indicate that structuring documents and information through ontologies requires a socio‐technical infrastructure consisting of a number of regularities, services and support on the level of organization as well as information technology.

Since the case of Schleswig‐Holstein is typical for governments trying to enter the information age without having the power and resources to be on the leading edge, the recommendations based on this research may support the strategy development and solution finding in other administrations as well.

A rather small government (such as that of Schleswig‐Holstein) must be aware of its strategic goals and step ahead carefully in order to avoid the risks of misinvestment while reorganizing its e‐document management.

The paper systematically addresses the question “How can public administration make use of ontologies for organizing and improving their e‐document management?”.

This paper seeks to focus on the problems of integrating information from open, distributed scholarly collections, and on the opportunities these collections represent for research communities in developing countries. The paper aims to introduce OntOAIr, a semi‐automatic method for constructing lightweight ontologies of documents in repositories such as those provided by the Open Archives Initiative (OAI).

OntOAIr uses simplified document representations, a clustering algorithm, and ontological engineering techniques.

The paper presents experimental results of the potential positive impact of ontologies and specifically of OntOAIr on the use of collections provided by OAI.

By applying OntOAIr, scholars who frequently spend many hours organizing OAI information spaces will obtain support that will allow them to speed up the entire research cycle and, expectedly, participate more fully in global research communities.

The proposed method allows human and software agents to organize and retrieve groups of documents from multiple collections. Applications of OntOAIr include enhanced document retrieval. In this paper, the authors focus particularly on document retrieval applications.

The purpose of this paper is to address problems that exist in the context of XML to ontology translation. Existing research results dealing with XML to ontology translation do not facilitate bidirectional data translation due to the fundamental differences between XML schema and ontologies. This paper proposes a mapping representation ontology for modeling concept mappings defined between XML schema and ontology, enabling data translation without any information loss.

A two‐step compensation approach is proposed that aims to prevent the loss of data type, structural and relational information during any single trip data translation. The mapping representation ontology proposed is capable in capturing enough information to compensate the loss of information during translation, hence allowing bidirectional conversions between XML and ontology.

Fundamental differences between XML schema and ontology are identified as the main reason causing the loss of information during data translation. A compensation approach that captures a sufficient amount of concept mapping information data translation is found to be successful in enabling lossless data transformation.

Outcomes from this work allow for the seamless data translation between XML documents, it demonstrates how web applications can seamlessly communicate and exchange data with each other without the need to conform to a predefined data standard. This paper aims to enhance interoperability between distributed systems.

This paper presents a mapping ontology that captures concept mappings defined between XML schema and ontology. Two algorithms facilitating the bidirectional XML to ontology translation are also proposed.

Browsing knowledge documents in a peer-to-peer (P2P) environment is difficult because knowledge documents in such an environment are large in quantity and distributed over different peers who organize the documents according to their own views. This paper aims to propose a method for constructing a personal knowledge map for a peer to facilitate knowledge browsing and alleviate information overload in P2P environments.

The research presents a method for constructing a personal knowledge map. The method adopts an ontology-concept-tree-based classification algorithm to recognize a peer’s personal knowledge structure and construct a personal knowledge map, and uses a self-organizing map algorithm to cluster and visualize the knowledge documents. The correctness of the created knowledge map is evaluated with a collection of abstracts of academic papers.

The method for constructing a personal knowledge map is the main finding of this research. The evaluation shows that the created knowledge map is good in quality.

The proposed method provides a way for P2P platforms to understand their users’ knowledge background, as well as to improve the P2P platform environment. However, the proposed method will not help a peer when he has nothing in his individual knowledge document repository (i.e. the “cold start” problem). The method also requires a relatively good ontology base for a P2P document sharing system to use the method effectively.

It is novel that the proposed method organizes the knowledge documents related to a peer’s knowledge background into a personal knowledge map. Moreover, the created knowledge map combines the advantages of a hierarchical display and a map display. It has values for a distributed P2P environment to facilitate users’ knowledge browsing and to alleviate information overload.

The purpose of this paper is to look into the latest advances in ontology-based text summarization systems, with emphasis on the methodologies of a socio-cognitive approach, the structural discourse models and the ontology-based text summarization systems.

The paper analyzes the main literature in this field and presents the structure and features of Texminer, a software that facilitates summarization of texts on Port and Coastal Engineering. Texminer entails a combination of several techniques, including: socio-cognitive user models, Natural Language Processing, disambiguation and ontologies. After processing a corpus, the system was evaluated using as a reference various clustering evaluation experiments conducted by Arco (2008) and Hennig et al. (2008). The results were checked with a support vector machine, Rouge metrics, the F-measure and calculation of precision and recall.

The experiment illustrates the superiority of abstracts obtained through the assistance of ontology-based techniques.

The authors were able to corroborate that the summaries obtained using Texminer are more efficient than those derived through other systems whose summarization models do not use ontologies to summarize texts. Thanks to ontologies, main sentences can be selected with a broad rhetorical structure, especially for a specific knowledge domain.

This paper re-examines the ontology of documents, especially digital ones, in the context of preservation, which presumes the actual existence of things. It also explores which aspects of documents are retained or lost over the course of time.

This study detangles the complexities of existential dependence relations of documents, by selectively reviewing literature on digital preservation, document theory, John Searle's social ontology, Maurizio Ferraris' documentality, and Amie Thomasson's categorial ontology.

The author argues that (1) existing objects can be documents, insofar as perceivers regard them as such; (2) documents are social objects as they depend on other objects, including creators, perceivers, and other documents; and (3) preserving digital documents entails the curation of dependence relations since they inherently have technologically dependent relations.

A clarification of the existential dependence relations of documents can aid documentary heritage institutions in determining preservation goals and strategies. Future research must address how, and to what extent, such dependence relations can be curated.

This paper clarifies that the preservation of documents entails the curation of dependence relations, and the critical issue in preservation is how to best preserve the dependence relations of documents, especially since digital documents available on the Internet inherently have technological and dynamic dependence relations.

The purpose of this research is to articulate an analysis framework and a method for the cross‐national business‐to‐business integration electronic commerce (B2Bi EC) by exploring an ontology‐assisted schema and semantics resolution in the business process alignment with electronic commerce standards.

The paper presents an ontology‐assisted analysis method and alignment model in the implementation of the B2B electronic commerce standard specification over the existing trading partners' public processes in the syntactic and semantic integration and interoperability. An application of the Unified Modeling Language is made to analyze the public process in the domain and in the standard. Terms, concepts, relations, and links are created from the analysis results and converted into an ontology representation. Web Ontology Language is introduced to formulate the analyzed knowledge and experience to align the domain and the standard. There are correspondences and conflicts in the process of alignment. They are resolved via the shared and reusable ontology which is a convergence of the domain ontology and the standard ontology. The converged and shared ontology is achieved via a set of rules and heuristics that are created in the research.

The key of success in the B2Bi EC lies in the ability to accomplish the process interoperability and the schema comparability. Three main tasks have to be achieved to fulfill the requirements. This research constructs a prototype to implement the method. The prototype is used to illustrate the feasibility and validity of the method. A set of starter experiments has been conducted in use of a straight‐through example of a purchase order process in the alignment with the RosettaNet standard and the ebXML standard. The starter experiment serves as the baseline to demonstrate that the method is feasible and valid.

A syntactic and semantic analysis method and alignment model are developed and demonstrated in the research. Integration and interoperability are accomplished in use of the systematic and analytic method.

By engaging with recent debates between management historians over social constructionism, this paper aims to show the merits of adopting a new realist ontology of the business enterprise. In contrast with ANTi-History, the purpose is to provide a philosophically rigorous conception of social objects and to argue that enterprises are a member of this category.

Insights from Maurizio Ferraris’s documentality theory and Graham Harman’s philosophy of social objects are used to identify the ontological forming ground and developmental pathway of an Antipodean stevedoring company that operated prior to the deregulation of New Zealand’s ports in 1989.

With regard to social entities in general and firms in particular, continental philosophy’s resurgent realist movement provides a history-aware social ontology that incorporates the grain of truth lying within social constructionism. As exemplified by the writings of Ferraris and Harman, realism provides a viable conception of social objects and, in so doing, a more coherent ontological foundation for the business enterprise than the relational ontology embraced by management history ANTians.

By drawing on two realist perspectives hitherto neglected by management historians, this paper resolves disagreements about the ontology of the business enterprise.

The purpose of the research is to speed up the process of semantic web services by transformation of current Web services into semantic web services. This can be achieved by applying ontology learning techniques to automatically extract domain ontologies.

The work here presents a Service Ontology Learning Framework (SOLF), the core aspect of which extracts Structured Interpretation Patterns (SIP). These patterns are used to automate the acquisition (from production domain specific Web Services) of ontological concepts and the relations between those concepts.

A Semantic Web of accessible and re‐usable software services is able to support the increasingly dynamic and time‐limited development process. This is premised on the efficient and effective creation of supporting domain ontology.

Though WSDL documents provide important application level service description, they alone are not sufficient for OL however, as: they typically provide technical descriptions only; and in many cases, Web services use XSD files to provide data type definitions. The need to include (and combine) other Web service resources in the OL process is therefore an important one.

Web service domain ontologies are the general means by which semantics are added to Web services; typically used as a common domain model and referenced by annotated or externally described Web artefacts (e.g. Web services). The development and deployment of Semantic Web services by enterprises and the wider business community has the potential to radically improve planned and ad‐hoc service re‐use. The reality is slower however, in good part because the development of an appropriate ontology is an expensive, error prone and labor intensive task. The proposed SOLF framework is aimed to overcome this problem by contributing a framework and a tool that can be used to build web service domain ontologies automatically.

The output of the SOLF process is an automatically generated OWL domain ontology, a basis from which a future Semantic Web Services can be delivered using existing Web services. It can be seen that the ontology created moves beyond basic taxonomy – extracting and relating concepts at a number of levels. More importantly, the approach provides integrated knowledge (represented by the individual WSDL documents) from a number of domain experts across a group of banks.