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In this paper, we present a generic model to enrich user profiles by means of contextual and temporal information. This reflecting the current interests of these users in every period of time defined by a search session, and infers data freshness. We argue that the annotation of resources gives more transparency on users' needs. Based on this idea, we integrate social tagging in order to exploit part...
The development of context-aware applications is a complex process that involves context management. A context life cycle implies 4 essential steps: context acquisition, context modeling, context reasoning and context dissemination [1]. In [2], we tackled the issue of context modeling and reasoning by proposing an approach based on Relational Concept Analysis (RCA) and Descriptive Logic (DL), respectively...
Concept maps are resources for the representation and construction of knowledge. They allow the showing, through concepts and relationships, how knowledge about a subject is organized. Technological advances have boosted the development of technological approaches that help the automatic construction of a map, in order to facilitate and provide the benefits of that resource more broadly. Because of...
Organizations have an increasing need to adapt faster their Information Systems to technical, functional and legal changes. One way proposed in the literature is to make a deep process analysis in order to have a better comprehension of the business process (BP) and adapt it to its new context. In this paper, we propose a meta model for a BP contextualization solution. The solution links a BP with...
Data provenance has been an active area of research as a means to standardize how the origin of data, process event history, and what or who was responsible for influencing results is explained. The common trend in capturing provenance is to collect all possible information, and then attempt to extract relevant information from the entire collection, which is not efficient especially at runtime. Unless...
In nascent areas, such as Smart Manufacturing, new collaborative research and development programs (R&D) are frequently formed with the goal to ignite the innovation lifecycle. Yet, clearly formulating common goals and enabling shared understanding of key concepts, which are critical to achieving these goals, often involve long, drawn-out processes. These processes typically involve road-mapping...
The main problem of rule-based information extraction technique is that the extraction rules tend to be specifically designed for specific information or document structure; hence it cannot be directly used in another without some proper modifications. Semi-structured documents like tables present another challenge to information extraction; since there are no standards on how to design it, the structure...
Recently, interaction with computer applications in a pervasive environment has increasingly benefited from mobile technologies. These technologies generally attributed to the environments of physical and social properties. Therefore, the adoption of these technologies ensures more flexibility and creates new forms of use. The consideration of the context of use in pervasive interactive applications...
Nowadays, smartphones and wearable devices are endowed with several sensors, which can harvest large quantities of data about urban areas (location information, pollution levels, etc.), going through a list of personal and surrounding contexts such as noise level, traffic awareness, to name a few. Exploiting this wealth of information provided by the crowd allows developers to design and build several...
The society is in a state where learning has no limits and starts to overlap with technological developments. The recent advent of a connectivistic learning theory promises to shed light on how we learn in environments of interconnected knowledge and how the connectivity of concepts can guide the learning and conceptualization. This paper will have a look at a domain ontology-based approach to learning...
Information overload is one of the most important problems in context of personalized document retrieval systems. In this paper we propose to use ontology-based user profile. Ontological structures are appropriate to represent relations between concepts in user profile. We present a method for determining user profile based on his current activities. Results obtained in experimental evaluation are...
The Semantic Web aims at building a Web where data is enriched with meaningful annotations. In other words, data is semantically organized in such a way that both human and machine can understand and query it, aiming at the creation of dynamic Web pages. Ontologies, as a keystone of the Semantic Web, have gained an ample acceptance as an information model, which can be used for several purposes, such...
Describes Tutorial I: "Context-Awareness in Information Retrieval and Recommender Systems" (Presented by Yong Zheng) and Tutorial II: "Ontology Learning and Population from Text Background" (Presented by Rosario Girardi).
In recent years Semantic Web technologies and the Linked Data paradigm have allowed the emergence of large interlinked knowledge bases as Linked datasets. These databases contain information that associates Web entities (called resources) with a well-defined semantics that specifies how these entities should be interpreted. A way to perform this task is through a class assignment process where resources...
The reduction of the greenhouse gas emissions is a priority all around the globe. The investment on renewable energy sources is contributing for new opportunities in the context of the smart grids and microgrids. Recent advances are transforming the consumer into a prosumer, being able to adapt the consumption depending on its own generated power, and selling the surplus or buying the missing power...
Social network users expect the social networks that they use to preserve their privacy. Traditionally, privacy breaches have been understood as the malfunctioning of a given system. However, in online social networks, privacy breaches are not necessarily a malfunctioning of a system but a byproduct of its workings. The users are allowed to create and share content about themselves and others. When...
With the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this paper we present a summary of an case-based organizational...
Empowering knowledge workers (KWs) to act more efficiently and flexibly in unpredictable situations is the main focus of Adaptive Case Management (ACM), although ad hoc actions at runtime shall not violate the consistency and compliance of an on-going case. In this paper we discuss how business constraints stemming from regulatory laws or standards are transferred from textual sources to formal specifications...
A major approach for formalizing business policies or compliance rules (e.g., stemming from regulatory laws or standards) are behavioral constraints. Flexible business process management approaches such as Adaptive Case Management provide business users the necessary freedom to react to unforeseeable circumstances by ad-hoc changes, but behavioral constraints are often defined and maintained on a...
Industrial maintenance requires not only experienced service personnel to carry out the tasks but also up-to-date information about the target equipment and its environment. Accessing information required to execute the tasks is a common challenge for maintenance personnel. This paper presents a knowledge modeling approach and a technical architecture of a gateway system developed to support maintenance...
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