@misc{cointet08,
        title = {Multi-level Science mapping with asymmetric co-occurrence analysis: Methodology and case study,},
        author = {J-P. Cointet and D. Chavalarias},
        howpublished = {Networks and Heterogeneous Media, Vol 3 Number 2, june 2008, p267-276},
        year = 2008,
        url = {http://aimsciences.org/journals/doIpChk.jsp?paperID=3278&mode=full},
        biburl = {http://www.bibsonomy.org/bibtex/2dc3e1217191c501d03cec34ee24eadad/pitman},
	keywords = {subjects mapping science}
}

@article{chavral08,
        title = {Bottom-up scientific field detection for dynamical and hierarchical science mapping, methodology and case study},
        author = {David Chavalarias and Jean-Philippe Cointet},
        journal = {Scientometrics},
        month = {#apr#},
        number = 1,
        pages = {37--50},
        volume = 75,
        year = 2008,
        url = {http://dx.doi.org/10.1007/s11192-007-1825-6},
        description = {SpringerLink - Journal Article},
	abstract = {Abstract  We propose new methods to detect paradigmatic fields through simple statistics over a scientific content database. We propose
an asymmetric paradigmatic proximity metric between terms which provide insight into hierarchical structure of scientific activity and test our methods on a case studywith a database made of several millions of resources. We also propose overlapping categorization to describe paradigmaticfields as sets of terms that may have several different usages. Terms can also be dynamically clustered providing a high-leveldescription of the evolution of the paradigmatic fields.},
	biburl = {http://www.bibsonomy.org/bibtex/20fa339fd6b43c77beda39bf0feeac3f8/pitman},
	keywords = {subject classification mapping quantitative epistemology science}
}

@inproceedings{Falconer/2007/Ontology,
        title = {Ontology Mapping - A User Survey},
        author = {Sean Falconer and Natasha Noy and Margaret-Anne Storey},
        booktitle = {Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea},
        crossref = {http://data.semanticweb.org/workshop/om/2007/proceedings},
        editor = {Pavel Shvaiko and Jérôme Euzenat and Fausto Giunchiglia and Bin He},
        month = {November},
        year = 2007,
        abstract = {Ontology mapping is the key to data interoperability in the semantic web vision. Computing mappings is the first step to applications such as query rewriting, instance sharing, web-service integration, and ontology merging. This problem has received a lot of attention in recent years, but little is known about how users actually construct mappings. Several ontology-mapping tools have been developed, but which tools do users actually use? What processes are users following to discover, track, and compute mappings? How do teams coordinate when performing mappings? In this paper, we discuss the results from an online user survey where we gathered feedback from the community to help answer these important questions. We discuss the results from the survey and the implications they may have on the mapping research community.},
	biburl = {http://www.bibsonomy.org/bibtex/2b4f7449614d7bb35e95aabcab584587e/pitman},
	keywords = {mapping ontology}
}