**2.5 Discussion**

This chapter has presented the case study of industrial archaeology for implementation of the arguments the research proposes. Industrial archaeology is the best suited for the research for the nature of the domain. The discipline of industrial archaeology generates huge and diverse data in very short duration of time and amount of time is short making it not possible to manage information through the conventional technologies. It is thus apprehending that this huge and diverse information could only be managed through active involvement of the archaeologists and the knowledge possess by them.

The ArchaeoKM project uses the knowledge possessed by the archaeologists to manage the information they gathered during the excavation. It is handled through a platform based on Semantic Web technologies and knowledge management and is termed as ArchaeoKM itself abbreviating Archaeological Knowledge Management. It uses the processing steps of 4Ks representing knowledge acquisition, knowledge management, knowledge analysis and knowledge visualization complementing the five steps of a GIS process. These 4Ks processing steps use the knowledge of the archaeologists in manipulating the data and to manage them.

This chapter establishes a relation between the case study of industrial archaeology and the spatial knowledge modeling paving the direction of the research. Primarily based on knowledge management of Semantic Web framework, it uses the spatial nature of case study to implement the spatial tools provided by the current spatial technology within the Semantic Web framework. The capabilities in existing tools to use the current database 166 Semantics – Advances in Theories and Mathematical Models

The top most level is the most concrete one as this level represents the organization of the knowledge on the semantic map through different visualizing tools. This level provides the user interfaces and they are visualized in form of Web pages as illustrated in figure 3. These Web pages represent knowledge which are generated through the knowledge management process discussed above. The pages are interrelated and can be used according to their relevance. The main representation of the knowledge is, however, demonstrated through Detail View pages. These pages are not only designed to illustrate the knowledge that has been generated and to manage it through the bottom two levels, but to also perform semantic research in order to gain new knowledge. Various techniques of the Semantic Web technology are being integrated within ArchaeoKM structure for acquiring new knowledge. Domain rules through inference engine provide one of those features in ArchaeoKM structure. In archaeology it is sometimes not possible to analyze the finding immediately and needs some properties or relationships to support them later. These inference rules provide the archaeologists such functionalities within

In addition to the three levels, the system architecture contains components that facilitate the acquisition, validation, upgrade, management and analysis of the spatial knowledge. These components are packaged into the Spatial Facilitator as illustrated in figure 3. This component is responsible for analyzing the spatial data and providing results; either to update the current ontological structure in the semantic level or to populate the knowledge base. Through the inference capabilities in Semantic Web technology, new theories could be

This chapter has presented the case study of industrial archaeology for implementation of the arguments the research proposes. Industrial archaeology is the best suited for the research for the nature of the domain. The discipline of industrial archaeology generates huge and diverse data in very short duration of time and amount of time is short making it not possible to manage information through the conventional technologies. It is thus apprehending that this huge and diverse information could only be managed through active

The ArchaeoKM project uses the knowledge possessed by the archaeologists to manage the information they gathered during the excavation. It is handled through a platform based on Semantic Web technologies and knowledge management and is termed as ArchaeoKM itself abbreviating Archaeological Knowledge Management. It uses the processing steps of 4Ks representing knowledge acquisition, knowledge management, knowledge analysis and knowledge visualization complementing the five steps of a GIS process. These 4Ks processing steps use the knowledge of the archaeologists in manipulating the data and to

This chapter establishes a relation between the case study of industrial archaeology and the spatial knowledge modeling paving the direction of the research. Primarily based on knowledge management of Semantic Web framework, it uses the spatial nature of case study to implement the spatial tools provided by the current spatial technology within the Semantic Web framework. The capabilities in existing tools to use the current database

involvement of the archaeologists and the knowledge possess by them.

the application.

explored.

**2.5 Discussion**

manage them.

systems and their spatial extension are evident of the ability of database systems to manage spatial data. It however lacks the flexibility to adapt itself into new scenarios that might arise through generation of new information or changes in the contexts. This research carries these capabilities forward by using the spatial knowledge processing through knowledge tools which provides the proper data management in archaeology that addresses the limitation in adaptation of the conventional technologies.

This chapter has presented the concept of the inclusion of spatial knowledge in handling the spatial nature of data recovered. This is new domain of research and probably one of its kinds. Hence it is important to understand the current state of art in both spatial and Semantic Web technologies. The next chapter thus discusses the state of art in the Semantic Web.
