Ismael Rivera

SPETA: Social pervasive e-Tourism advisor

Tourism is one of the major sources of income for many countries. Therefore, providing efficient, real-time service for tourists is a crucial competitive asset which needs to be enhanced using major technological advances. The current research has the objective of integrating technological innovation into an information system, in order to build a better user experience for the tourist. The principal strength of the approach is the fusion of context-aware pervasive systems, GIS systems, social networks and semantics. This paper presents the SPETA system, which uses knowledge of the users current location, preferences, as well as a history of past locations, in order to provide the type of recommender services that tourists expect from a real tour guide.

An Ontology-Based Technique for Online Profile Resolution

Instance matching targets the extraction, integration and matching of instances referring to the same real-world entity. In this paper we present a weighted ontology-based user profile resolution technique which targets the discovery of multiple online profiles that refer to the same person identity. The elaborate technique takes into account profile similarities at both the syntactic and semantic levels, employing text analytics on top of open data knowledge to improve its performance. A two-staged evaluation of the technique performs various experiments to determine the best out of alternative approaches. These results are then considered in an improved algorithm, which is evaluated by real users, based on their real social network data. Here, a profile matching precision rate of 0.816 is obtained. The presented Social Semantic Web technique has a number of useful applications, such as detection of untrusted known persons behind anonymous profiles, and information sharing management across multiple social networks.

The FAST Platform: An Open and Semantically-Enriched Platform for Designing Multi-channel and Enterprise-Class Gadgets

The transfer of the mashup paradigm in corporate environments needs additional capabilities beyond those typically associated with consumer mashups. In this paper, we present the architecture of the FAST platform which allows creating enterprise-class and multi-channel visual building blocks (so called gadgets) in an ad-hoc manner. The design of complex enterprise-class gadgets is supported by an integrated semantic concept which hides the complexity from the actual users. The architectural components of the platform, a technical life cycle model for enterprise mashups, and the FAST gadget ontology are presented. By means of a cross-organizational real-world scenario from the marketing/ promotion event area, we demonstrate the value and potential of the FAST platform.

Interacting with a Context-Aware Personal Information Sharing System

The di.me userware is a decentralised personal information sharing system with a difference: extracted information and observed personal activities are exploited to automatically recognise personal situations, provide privacy-related warnings, and recommend and/or automate user actions. To enable reasoning, personal information from multiple devices and online sources is integrated and transformed to a machine-interpretable format. Aside from distributed personal information monitoring, an intuitive user interface also enables the i) manual customisation of advanced context-driven services and ii) their semi-automatic adaptation across interactive notifications. In this paper we outline how average users interact with the current user interface, and our plans to improve it.

Processing Ubiquitous Personal Event Streams to Provide User-Controlled Support

The increase in use of smart devices nowadays provides us with a lot of personal data and context information. In this paper we describe an approach which allows users to define and register rules based on their personal data activities in an event processor, which continuously listens to perceived context data and triggers any satisfied rules. We describe the Rule Management Ontology (DRMO) as a means to define rules using a standard format, whilst providing a scalable solution in the form of a Rule Network Event Processor which detects and analyses events, triggering rules which are satisfied. Following an evaluation of the network v.s. a simplistic sequential approach, we justify a trade-off between initialisation time and processing time.

di.me: Ontologies for a Pervasive Information System

The di.me userware is a pervasive personal information management system that successfully adopted ontologies to provide various intelligent features. Supported by a suitable user interface, di.me provides ontology-driven support for the (i) integration of personal information from multiple personal sources, (ii) privacy-aware sharing of personal data, (iii) context-awareness and personal situation recognition, and (iv) creation of personalised rules that operate over live events to provide notifications, effect system changes or share data.

Techniques for the Identification of Semantically-Equivalent Online Identities

The average person today is required to create and separately manage multiple online identities in heterogeneous online accounts. Their integration would enable a single entry point for the management of a persons digital personal information. Thus, we target the extraction, retrieval and integration of these identities, using a comprehensive ontology framework serving as a standard format. A major challenge to achieve this integration is the discovery of semantic equivalence between multiple online identities (through attributes, relationships, shared posts, etc.). In this paper we outline a hybrid syntactic/semantic-based approach to online identity reconciliation. We also discuss the results of syntactic matching experiments conducted on real data, the current status of the work and our future research and development plans in this direction.

An Approach for Component-Based Software Composition

Presently, not only a large amount of information resources are available on the Web, but also a complete lattice of dynamic applications, namely, software components and Web Services. Hence, an increasing demand of a proper model and architecture for composition of software components has triggered a huge amount of integration efforts. However, most of them are partially ignoring operational and knowledge-oriented aspects which can hinge on semantics. In this paper, we present a semantically enhanced framework for software composition focusing on component-based systems.

Collaborative OpenSocial Network Dataset Based Email Ranking and Filtering

Social networks have experienced a meteoric rise recently. They provide a number of functionalities such as network of friends or business contacts listings, content-sharing, profile surfing, discussion and messaging tools. Interoperability among social networks being a key challenge, the Google-powered open social alliance has partly solved it and unveiled a new breed of strategies to gather data from social network users. In this paper, we build on the open social functionality and combine it with filtering and ranking algorithm to enhance email management.

SmartWorld: More than Meets the Eye in Enterprise Application Integration

Current business climate demands a high rate of change with which Enterprise Information Systems Integration is required to cope. Previously isolated, these systems must be converted to service-enabled architectures and integrated efficiently to gear towards the real world of fully automated, complex electronic transactions. Service-Oriented Computing (SOC) holds the visionary promise of a world of cooperating services where application services are encapsulated within old and new applications. This paper presents SmartWorld, a service-oriented architecture (SOA) which attempts to enable integration among Enterprise Information Systems using services as the basic constructs to support the development of rapid, low cost and easy modeling of Business Process interoperation.