Analysis on the semantic relationships in event structures on the basis of ontology

Ontology is a distinct, canonical and shared system of concepts, which is oriented to objects （fields）. Nowadays, every discipline or field attaches great importance to establishing and applying ontology for research. And ontologies that related to linguistics are WordNet by cognitive linguist Prof. Miller from PrincetonUniversity, FrameNet by Prof. Fillmore from California University, Berkeley, GOLD （General Ontology for Language Description） by Dr. Farrar from Arizona University and DOLCE （Descriptive Ontology for Linguistic and Cognitive Engineering） by CNR cognitive science and technology research centre of Italy, etc. This article focuses on event structures hot discussed in cognitive linguistics, through an ontologically analytical approach, and gives a systematic description on the concepts and semantic relationships involved in the event structures. Any event structure can be represented through the 7S schema. ＂For some purpose, somebody does something for someone with some means, sometimes and somewhere＂. Therefore, an event consists of 7 conceptual domains： purpose, actor, action, object, facility, location and time. In the article, the main concepts of the 7 domains and over 20 semantic relationships between these domains are described in detail and illustrated by some examples.

Thesaurus-based approach for building domain ontology with a case study of military aircraft prototype ontology construction

To alleviate the amount of work involved in constructing a domain ontology, starting with the base of an existing terminological-rich thesaurus is better than starting from scratch. With a case study of reengineering the Defense Science and Technology Thesaurus into a prototype military aircraft ontology, a four-phase thesaurus-based methodology is introduced and investigated, which consists of identifying the application purpose, overall design, designing in detail and evaluation. Designing in detail is the core step, converting the terms and semantic relationships of the thesaurus into an ontology and supplementing richer semantic relationships. The resulting prototype ontology includes 87 concepts and 34 relationships, and can be extended and scaled up to a full-fledged domain ontology in the future. Eight universal genres of relationships of this ontology are preliminarily summarized and analyzed, including equivalent relationships, approximate relationships, generic/abstract relationships, part/whole relationships, cause/effect relationships, entity/location relationships etc., and the normalization of semantic relationships is critical to the merging and reusing of follow-up multiple ontologies.

A Tag-based way of organizing and exploring literature resources in Web 2.0 environment

With the rapid development of Web2.0 technology, more and more social annotation systems are emerging, such as Del.icio.us, Flickr, YouTube, and CiteULike. These systems help users to manage and share their digital resources, and have attracted a lot of users to annotate the resources with tags and bookmarks, which result in a large scale of tag data. Due to the exponential increase of social annotations, all the users are facing the same problem: How can we explore the desired resources efficiently in such a large tag dataset? Since the traditional methods such as tag cloud view and annotation match work well only in small annotation dataset, this paper studies the relationships of tag-tag, tag-resource and resource-resource through the co-occurrences and proposes a new efficient way for users to organize and explore the literature resources. Our research mainly focuses on two aspects:1) The hidden semantic relationships of popular tags and their relevant literature resources;2) the computing of literature resources similarity given a specific literature. A prototype system named PKUSpace is implemented and shows promising results.

GeoScope:Full 3D Geospatial Information System Case Study

Aiming at the integrative management and comprehensive applications of large-scale 3D geospatial information covering the full 3D space of a city, this paper briefly introduces the design and implementation of a full 3D GIS platform： GeoScope, which provides a professional solution for the massive full three-dimensional geospatial data integration, management, analysis, visualization, and applications. GeoScope is characterized by： （1） extendible software architecture based on the hierarchical message bus, facilitates multimodal integrative applications of 2D GIS and 3D GIS; （2） unified 3D city models, support multiscale se- mantic representation of outdoor ＆ indoor and aboveground ＆ underground 3D objects; （3） high-efficient 3D geospatial database engine, supports integrated management of massive 3D geospatial data for real-time applications; and （4） high-performance visualization engine exploiting the massively parallel computation architecture of modem GPUs, supports real-time realistic rendering of large-scale complicated 3D geospatial environments. The successful pilot application of GeoScope is also illustrated with the 3D city models of 8494 knl2 of the whole Wuhan City, the largest city in middle China.