@conference {Akim2011a,
	title = {Spreading Activation for Web Scale Reasoning: Promise and Problems},
	booktitle = {WebSci 11, poster presentation},
	year = {2011},
	month = {6},
	pages = {1-4},
	abstract = {Various forms of spreading activation has been used in a number of web systems, not least in the PageRank algorithm. In our own work we have been using this as a technique for managing context over small and large ontologies, and both our own work and that in LarKC suggests that spreading activation has the potential to aid in reasoning over web-scale data sets including the growing set of linked open data resources. Of particular importance is that spreading activation can be applied locally to a dynamic selfselecting working set of an (practically) unbound linked data collection, as well as globally to the entire collection. However, this potential does not come without problems, some concerning the nature of the algorithm on any large data set, and some more to do with the particular nature of linked open data.},
	author = {Nazihah Md. Akim and Alan Dix and Akrivi Katifori and Giorgos Lepouras and Nadeem Shabir and Costas Vassilakis}
}
@article {dix2010b,
	title = {From the web of data to a world of action},
	journal = {Journal of Web Semantics},
	volume = {8 issue 4},
	year = {2010},
	pages = {394-408},
	abstract = {This paper takes as its premise that the web is a place of action, not just information, and that the purpose of global data is to serve human needs. The paper presents several component technologies, which together work towards a vision where many small micro-applications can be threaded together using automated assistance to enable a unified and rich interaction. These technologies include data detector technology to enable any text to become a start point of semantic interaction; annotations for web-based services so that they can link data to potential actions; spreading activation over personal ontologies, to allow modelling of context; algorithms for automatically inferring {\textquoteleft}typing{\textquoteright} of web-form input data based on previous user inputs; and early work on inferring task structures from action traces. Some of these have already been integrated within an experimental web-based (extended) bookmarking tool, Snip!t, and a prototype desktop application On Time, and the paper discusses how the components could be more fully, yet more openly, linked in terms of both architecture and interaction. As well as contributing to the goal of an action and activity-focused web, the work also exposes a number of broader issues, theoretical, practical, social and economic, for the Semantic Web.},
	doi = {10.1016/j.websem.2010.04.007},
	author = {Alan Dix and Giorgos Lepouras and Akrivi Katifori and Costas Vassilakis and Tiziana Catarci and Antonella Poggi and Yannis Ioannidis and Miguel Morae and I. Daradimos and Nazihah Md.Akima and Shah Rukh Humayound and Fabio Terella}
}
@article {Katifori10a,
	title = {Ontologies and the brain: Using spreading activation through ontologies to support personal interaction},
	journal = {Cognitive Systems Research},
	volume = {Volume 11, Issue 1},
	year = {2010},
	note = {cited By (since 1996) 0; Article in Press},
	pages = {25-41},
	abstract = {Ontologies, as knowledge engineering tools, allow information to be modelled in ways resembling to those used by the human brain, and may be very useful in the context of personal information management (PIM) and task information management (TIM). This work proposes the use of ontologies as a long-term knowledge store for PIM-related information, and the use of spreading activation over ontologies in order to provide context inference to tools that support TIM. Details on the ontology creation and content are provided, along with a full description of the spreading activation algorithm and its preliminary evaluation. Β{\textcopyright} 2009 Elsevier B.V.},
	doi = {10.1016/j.cogsys.2009.02.001},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-62249112875\&partnerID=40\&md5=7d25fb986738b4c71a627b3fec24c58d},
	author = {Akrivi Katifori and Costas Vassilakis and Alan Dix}
}
@article {dix2010,
	title = {Spreading Activation Over Ontologies: From Personal Context To Web Scale Reasoning},
	journal = {International Journal of Semantic Computing},
	volume = {Special issue on Web Scale Reasoning},
	year = {2010},
	pages = {59{\textendash}102},
	abstract = {This paper describes methods to allow spreading activation to be used on web-scale information resources. Existing work has shown that spreading activation can be used to model context over small personal ontologies, which can be used to assist in various user activities, for example, in autocompleting web forms. This previous work is extended and methods are developed by which large external repositories, including corporate information and the web, can be linked to the user?s personal ontology and thus allow automated assistance that is able to draw on the entire web of data. The basic idea is augment the personal ontology with cached data from external repositories, where the choice of what data to fetch or discard is related to the level of activation of entities already in the personal ontology or cached data. This relies on the assumption that the working set of highly active entities is relatively small; empirical results are presented, which suggest these assumptions are likely to hold. Implications of the techniques are discussed for user interaction and for the social web. In addition, warm world reasoning is proposed, applying rule-based reasoning over activate entities, potentially merging symbolic and sub-symbolic reasoning over web-scale knowledge bases.},
	doi = {10.1142/S1793351X10000973},
	author = {Alan Dix and Akrivi Katifori and Giorgos Lepouras and Costas Vassilakis and Nadeem Shabir}
}
@conference {Katifori2008a1,
	title = {Personal Ontology Creation and Visualization for a Personal Interaction Management System},
	booktitle = {Proceedings of PIM, CHI 2008},
	year = {2008},
	month = {4},
	abstract = {Ontologies offer a flexible and expressive layer of abstraction, very useful for capturing the semantics of information repositories and facilitating their retrieval either by the user or by the system to support user tasks. This work presents an ontology-based user profiler, in the context of a Personal Interaction Management System (PIMS). The profiler, based on an ontology of the users? domain, enables them to create their personal ontology by initially choosing one of the available template ontologies as a starting point, which they subsequently populate and customize. The profiler employs a web interface which allows users to populate their personal ontology through forms, hiding ontology complexities and peculiarities. Forms are dynamically generated through ontology views, which are specified by ontology designers.},
	author = {Akrivi Katifori and Costas Vassilakis and I. Daradimos and Giorgos Lepouras and Yannis Ioannidis and Alan Dix and Antonella Poggi and Tiziana Catarci}
}
@conference {katifori2008b,
	title = {Using Spreading Activation through Ontologies to Support Personal Information Management},
	booktitle = {Proceedings of CSKGOI, within IUI 2008},
	year = {2008},
	month = {1},
	abstract = {Recent research in the domain of Personal Information Management has recognized the need for a paradigm shift towards a more activity-oriented system. Ontologies, as semantic networks with a structure not dissimilar to the one used by the human brain for storing long-term knowledge, may be very useful as the basis of such a system. This work proposes the use of spreading activation over ontologies in order to provide to a task-based system and its associated tools with methods to record semantics related to documents and tasks and to support user context inference.},
	url = {http://ceur-ws.org/Vol-323/paper05.pdf},
	author = {Akrivi Katifori and Costas Vassilakis and Alan Dix}
}
