Solving real-world problems using symbolic planning often requires a simplified formulation of the original problem, since certain subproblems cannot be represented at all or only in a way leading to inefficiency. For example, manipulation planning may appear as a subproblem in a robotic planning context or a packing problem can be part of a logistics task. In this paper we propose an extension...

Centralized social networking websites raise scalability issues — due to the growing number of participants — and policy concerns — such as control, privacy and ownership of users’ data. Distributed Social Networks aim to solve those by enabling architectures where people own their data and share it whenever and to whomever they wish. However, the privacy and scalability challenges are still to...

An extension of the General and Rapid Association Study Engine (GRASE), a Semantic Web data (entity) prioritisation engine, is discussed. The GRASE employs a unique mechanism to prioritise entities using entitydocument relations by computing the statistical significance between entities and user keywords based on the number of related documents. We describe an improvement of prioritisation accu...

In this paper, we demonstrate Hermes@Neo4j1, an extension of Neo4j graph DMBS for semantic trajectories of moving objects, on the so-called Spatio-Temporal-Keyword Pattern queries. For this purpose, our engine exploits on hybrid Spatio-TemporalKeyword (STK) index structures, also boosted by an appropriate selectivity estimation model. Hermes@Neo4j functionality is demonstrated over synthetic an...

Associative search is information retrieval based on the similarity between two different items of text information. This paper reports experiments on associative search on a large number of short documents containing a small set of words. We also show the extension of the set of words with a semantic relation, and investigate its effect. As an instance, experiments were performed on 49,767 pro...

Geo-spatial applications need to provide powerful search capabilities to support users in their daily activities. However, discovery services are often limited by only syntactically matching user terminology to metadata describing geographical resources. We report our work on the implementation of a geographical catalogue, and corresponding semantic extension, for the spatial data infrastructur...

In the semantic web context,the formal representation of knowledge is not resourceful while the informal one with uncertainty prevails. In order to provide an uncertainty reasoning service for semantic web applications, we propose a probabilistic extension of Description Logic, namely Probabilistic Description Logic Program (PDLP). In this paper, we introduce the syntax and intensional semantic...

Information Extraction and Transport, Inc. (IET) is developing the Knowledge Elicitation Environment for Probabilistic Event and Entity Relations (KEEPER) system, a tool for eliciting, storing, updating and implementing probabilistic relational models (PRMs)[1,8,16]. The KEEPER elicitation component implements a single ontology for the purposes of constraining and guiding elicitation and provid...

In previous work [8] we proposed an extension for the belief base of AgentSpeak agents based on Description Logic, aiming at enabling agent oriented programming to cope with recently proposed technologies for the Semantic Web. In such an extension an agent belief base contains the definition of complex concepts, besides specific factual knowledge. The foreseen advantages are: (i) more expressiv...

Ontology is the basis of sharing and reusing knowledge on the Semantic Web, and ontology-based semantic retrieval is a hotspot of current research. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent fuzzy knowledge more effectively, this paper presents a new series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguis...