Task planning for mobile robots usually relies solely on spatial information and on shallow domain knowledge, like labels attached to objects and places. Although spatial information is necessary for performing basic robot operations (navigation and localization), the use of deeper domain knowledge is pivotal to endow a robot with higher degrees of autonomy and intelligence. In this paper, we f...

Assigning arguments of verbs to different semantic classes (‘semantic typing’), or alternatively, checking the ‘selectional restrictions’ of predicates, is a fundamental component of many natural language processing tasks. However, a common experience has been that general purpose semantic classes, such as those encoded in resources like WordNet, or handcrafted subject-specific ontologies, are ...

An automatic method for building a semantic dictionary from existing questions in a pattern-based question answering system is proposed for question categorization. This dictionary consists of two main parts: Semantic Domain Terms (SDT), which is a domain specific term list, and Semantic Labeled Terms (SLT), which contain common terms tagged with semantic labels. The semantic dictionary is buil...

The processing of semantic information requires the adequate knowledge representation and ability to interpret semantically related knowledge. The majority of present day approaches to knowledge representation and processing are based on symbolic approach, i.e. on describing the meaning of represented domain knowledge and procedural knowledge used to process this domain knowledge. Hierarchical ...

This paper presents an approach that combines Ontologies, Semantic Web Services and Mobile Agents, for the Component-Based Software Development. The Ontologies are employed to improve the problem domain analysis, and to get software components with a semantic description, which may be reused in a wide variety of applications. The Semantic Web Services are used as software components distributed...

Standards and domain ontologies are very important for providing semantic interoperability and information access in open environments. The MPEG-7 and MPEG-21 are the dominant efforts for the description of multimedia content and multimedia content services. The MPEG-7 Semantic DS has been shown to have powerful semantic description capabilities, which can utilize complex concepts, relationship...

Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

Data mining and information extraction rely on a number of natural language tasks that require semantic typing; that is, the ability of an application to accurately determine the conceptual categories of syntactic constituents. Semantic typing serves tasks such as relation extraction by improving anaphora resolution and entity identification. Domain-specific semantic typing also benefits statis...

Semantic Web technologies are increasingly being adopted for aggregating Web data. Tools such as Semantic Data Browsers have been proposed to assist users to access and make sense of the vast semantic space. However, further investigations are needed to understand how users make use of the additional semantic features provided by these new breed of browsers and their effectiveness in supporting...

the words hold their meaning values, inner combination and out combination that which of them have the special meaning concessions, specially, when these words connected with holy quran. one of these words, is karaem (dignity) that used in nahj about inmate's description:( the delicacies of the quran are about them. the descendants of the prophet). the word roots from (karam) has a range o...