An information retrieval approach to ontology mapping

In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems. The approach is based on the idea of semantic enrichment, i.e., using instance information of the ontology to enrich the original ontology and calculate similarities between concepts in two ontologies. The functional settings for the mapping system are discussed and the evaluation of the prototype implementation of the approach is reported. \ud \u

User controlled news recommendations

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, INTRS 2015 - In conjunction with the 9th ACM Conference on Recommender Systems, RECSYS 2015 -- 19 September 2015 -- 115581The adoption of mobile devices is pushing the Internet into a more personal and context aware space. A common challenge for online news services is to deliver contents that are interesting to read. In this paper, we describe the user interface design of the SmartMedia news recommender prototype. Through deep analysis of textual news contents it is able to deliver local, recent and personalized news experiences, and the user interface is designed to give the users control over the news stream compositions. We will present its innovative user interface and the approach taken to transform raw textual data into well defined and meaning bearing entities. © 2015 for the individual papers by the papers' authors

A survey on challenges and methods in news recommendation

Control and Communication (INSTICC);Institute for Systems and Technologies of Information,10th International Conference on Web Information Systems and Technologies, WEBIST 2014 -- 3 April 2014 through 5 April 2014 -- Barcelona -- 105611Recommender systems are built to provide the most proper item or information within the huge amount of data on the internet without the manual effort of the users. As a specific application domain, news recommender systems aim to give the most relevant news article recommendations to users according to their personal interests and preferences. News recommendation have specific challenges when compared to the other domains. From the technical point of view there are many different methods to build a recommender system. Thus, while general methods are used in news recommendation, researchers also need some new methods to make proper news recommendations. In this paper we present the different approaches to news recommender systems and the challenges of news recommendation

Towards Information Systems Design for Value Webs

In this paper we discuss the alignment between a business model of a value web and the information systems of the participating companies needed to implement the business model. Traditional business-IT alignment approaches focus on one single company, but in a value web we are dealing with various independent businesses. Since a value web is actually a web of services, delivered by IT systems owned by different companies, to ensure alignment we need to specify the services and their properties and then map them on the available IT support in the different companies. Such mappings have to be evaluated in terms of their impact on the profitability of participating in the value web of the different companies. We propose techniques to map services to IT support and show how to do commercial trade-offs

Towards the Integration of Value and Coordination Models - Position Paper -

Cross-organizational collaborations have a high complexity. Modelling these collaborations can be done from di®erent perspectives. For example, the value perspective represents expected value exchanges in a collaboration while the coordination perspective represents the order in which these exchanges occur. How to maintain consistency between di®erent models during design time as well as runtime constitutes a chal- lenging topic. De¯ning criteria and de¯nitions re°ecting the relation be- tween these models during the entire life cycle is not straightforward. Di®erent criteria are used for di®erent models since each model captures a speci¯c aspect of the collaboration. In this paper we investigate the challenges arising when addressing the problem of maintaining adequate and consistent models of a collaboration during the entire life cycle of a collaboration. We propose a framework in which we connect business layer, process layer and implementation layer, presenting the direction for solving this multifaceted problem. We will describe several challenges we anticipate to encounter while implementing our framework

Customizable retrieval functions based on user tasks in the cultural heritage domain

The cultural heritage domain dealing with digital surrogates of rare and fragile historic artifacts is one of the most promising areas for establishing collaboratories, i.e. shared virtual working environments for groups of users. However, in order to be considered a useful tool, such a system must reflect and support the specific tasks which are typical for the domain. The system design presented here takes into account a variety of activities, e.g., source analysis, which are supported by a task-specific selection of appropriate retrieval functions, e.g., access to OCR results and annotations. The tasks are explicitly modeled, thus the corresponding user interfaces can be automatically generated